{"type":"session","version":3,"id":"019e9290-7cad-7f28-847b-004b58c9ebae","timestamp":"2026-06-04T12:16:43.181Z","cwd":"/home/sebas"}
{"type":"model_change","id":"5acd333c","parentId":null,"timestamp":"2026-06-04T12:16:45.515Z","provider":"openai-codex","modelId":"gpt-5.4"}
{"type":"thinking_level_change","id":"1cfcfc20","parentId":"5acd333c","timestamp":"2026-06-04T12:16:45.515Z","thinkingLevel":"low"}
{"type":"message","id":"43bb89f6","parentId":"1cfcfc20","timestamp":"2026-06-04T12:36:42.189Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] se puede hacer un Dry Run a las memorias existentes sin ver la sesion, en cambio solo viendo la memoria?"}],"timestamp":1780576602181}}
{"type":"message","id":"580e3fef","parentId":"43bb89f6","timestamp":"2026-06-04T12:36:47.717Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering memory capabilities**\n\nI think the user is asking for an answer that's conceptual, possibly related to agents and memory reading. I might want to check what I can do in terms of memory skills. Perhaps I can respond with a straightforward yes or no, but I’ll also include some necessary caveats. It's also important to note that the user’s question is in Spanish, so I need to keep my response concise.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21715b65948191a7a03a32c69d0ce6\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXFeXO4sGMW_A5BE-Vz8oUdxo3Biv2GOBx5GsdZn78Y08VBFCKImU69TLYWw2cdTQ1Ww-kVihpBuXBNk46u-ka0Y6UCRhkaRFGQ8WKZM2-8Te_wRHCFH1EaHR3zJd-smPSeQKbdvCZji-ploxe5BhEKAqbLAmaKWeKVZ333g47kOfDlnL4pE3ZUYjR1zlfeoc_0cYtrIKqU1IHPY04T1AiZCwGM3EXuEceS_NQR_q9ncefYKDW_VfND9yG2IMGngXD99rwDqam1iQB8QvaOH1enn6GI0T8OFjNJgI4AH5ZrOeDtRgTYxnotP3stKEkrgPKd-0ydKfT3RK7wqQC47bGd65F0PPRzJsKFj4FkxaJ7OFgJolayQqvKUfKP56Bk7-5jAoa3KkxvWKJsPBRd7V865b9i-Tl-4PrmacYb9C2yVlqiLkMkx0DEftvapLbIufDf8YWdDW9MPXrgKwfR5b8LZfgPiECd2RMg4wJjXQzea9wNK4hhNUJiR9J3AXAojpOuH9jW09LCadSEsZXCqPeA-oTPaXOVIfYMYGJOSbQgdVyBUchbJyOFTDeM9hw_JDF46jSCBb0UCN6oxXsl2TNPaTITPR6H9g92mVEpZ6B7ckPIzH9puJM4VjYJGfSgUwNNkedQZ-ttE5grk0pgrAk-3qsnOOS_3Ls85LI6Q6Y680bZoymtAJJx48WIqCxs3omx5bfMKlGkecoK345P5c6KNIx7EPGxaClc4I2nnbxYWY08fyhXRf6XzvM2lhGsiGHl0XNl0DN3FmKJku0SsJDdkBQ5bl6hj_ay_f-uAVMgg8-c_AlyiRzP6n0Xn1UyMBb4Hn5B8MOhNLPMNZO34410HUPSR2UcK9ZytnQ1J2OiRGc3uueJT1DMl20-fBQ72HjknaeaIh5_0Vu3_QXvwH6dhb0p5PwnaRbVuF4Cs9lo_pf5x1xqfNvlPZ9uUNrNqqSTi1gyS3Y7YZyqh4CPxNbuxi9v2dX2DSporYS9PwwNor-9PaP0S6akoyM2W4dyeXFX6v0euFg_qYwqHVeZPxZgIoDXPX_8jy_3_B3K90kedNzevGrH39wJLuDFEFB1ZK7GpPITMBlUbizX11CopV-zZgSmZyM1TkoEJCyIlyv59AbXUM5EC-3cwC9tfjpCp0Sv-\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering memory capabilities**\\n\\nI think the user is asking for an answer that's conceptual, possibly related to agents and memory reading. I might want to check what I can do in terms of memory skills. Perhaps I can respond with a straightforward yes or no, but I’ll also include some necessary caveats. It's also important to note that the user’s question is in Spanish, so I need to keep my response concise.\"}]}"},{"type":"text","text":"Sí, pero con límites.\n\nSe puede hacer un dry run basado solo en memorias:\n- buscar memorias relevantes\n- reconstruir contexto probable\n- proponer acciones, riesgos, y próximos pasos\n- detectar huecos o contradicciones\n\nNo se puede garantizar lo mismo que viendo la sesión completa:\n- falta intención exacta del momento\n- faltan matices, descartes, y cambios de rumbo\n- una memoria puede estar resumida, sesgada, o vieja\n\nRegla práctica:\n- si querés continuidad operativa: memoria sola suele alcanzar\n- si querés auditoría fina o reproducir decisiones: no alcanza, mejor sesión + memoria\n\nPuedo trabajar en 3 modos:\n1. solo memoria\n2. memoria + artifacts\n3. memoria + sesión completa\n\nSi querés, te armo el dry run ideal “solo memoria” y qué datos mínimos tendría que tener cada memoria para que sirva bien.","textSignature":"{\"v\":1,\"id\":\"msg_00bddaf16c51a121016a21715ea8008191b0a59ffb7dac6129\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5439,"output":237,"cacheRead":0,"cacheWrite":0,"totalTokens":5676,"cost":{"input":0.013597500000000002,"output":0.003555,"cacheRead":0,"cacheWrite":0,"total":0.0171525}},"stopReason":"stop","timestamp":1780576602200,"responseId":"resp_00bddaf16c51a121016a21715ace748191ac21bbd6aef4cb8f"}}
{"type":"message","id":"3e0b983c","parentId":"580e3fef","timestamp":"2026-06-04T12:38:56.836Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] solo quiero consolidar memorias previas con la nueva heuristica, pero haciendo un dry run primero"}],"timestamp":1780576736834}}
{"type":"message","id":"c2b4ace7","parentId":"3e0b983c","timestamp":"2026-06-04T12:39:04.398Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering memory consolidation**\n\nIt looks like the user wants to consolidate old memories with a new heuristic. I think I should first clarify their request. I can confidently say that yes, I can help with this! I should mention my approach and suggest a plan, possibly asking for their confirmation since it may involve reading the memory database, but a dry run would not include any writes. Also, I might consider using a memory-read skill if necessary, but just answering might be sufficient.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2171e1a0408191a758a603d3486eb9\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXHnLSsBjd9Zkf93DaAFykdujqwO2FyoL7hGYYRZNPsx9Brbg5p9ZNi6T9c15tEuwuHDxlRMmI4kACRPn635bApZVJCLMbGSUyQVcyaixta6eVFl5YcrmpDint-vlFCR2jco5vY7WGizfxd9GybWtqL54Kg-9C1mirjGrjecuJxpG12g2Oatu6N4_ojLLAt4o8ovoMzMt3FyOREEIIFBcpCv8hOIbNqCqtzmv9J40GTBN1Awjb95fT80dFDgwprnSSCI-ZUk1nRWrMRuk8heBE6CrSnKzvleRZYc2aQZk-Q6pvb0briJmmxCDagHIu9uGca4qoLQyCMxKI0nAgl50MA5CNNRiQ1_AYrR2IfPctsqK8puBc81l5aBI3RFkcfuFb_CXthFVVNFfq8idVPA_PFBw5TrBqiuzTVSGh-vvQz8GT9Twb5zc0q7j31dQ5y4tF8I6U1oofWDkcNX2i4akqhf5K248_vP-cZtiYhyueaO-zDxp2G-XYihQx8QaSn9RdWz0OtAdVIFG9y298dboKpZo_d9nVGy_-o3FUKfUCY-N4h_PUe83wa3UGN4b3EY3AJJ4-ubZciIbYgNAKZx5M5gI8bqVUH13cNvxxe7Z-RDlGsp24nruXcJl1Qr8BY7oPFyLAzDTCkrQ2Db3bqRDr1oecGqWtOfqvRD4tCltSy9SWCXVhytP3wnMBf4E7X9w6llipdjoiJzmM6cw_gtdSVjkOmwVJeu6bqjzk3pP8c80ZLiXD7itRAaR5ZaKGpNy2Y35K_yCcs2HV9JlLMb_LQA-w1Kg1jc9-bOmvLLn7fAut4T2MDFMwHtQnkMwP0gnfdc6NHnp004hokyhKZe378u6PIlTHDH8vgr_UkEAFBsPyZsxYM3v489uHQOqk82dV1r4aQZL1BqXRJpFIiJidw0ex5T1uBYiYV4s-miLstpQaZ33f9QMbrb1UPkA4PX6piphjXYlh2JHXuin2DrTW6_Hqi9hYGS7LiIA9yUi2-sUJpCmgDGAmHzkkqzTC1Xh1l8xNsXZwwku_BuXaUSkjnbX1UwLyyaL4cx3_Lx9JTJb-700AXrQasLrrKIGPkuzJEfCmuEvmsvxhTnE5KIrnErxOPG6eAYoAx3Ub5cnGoQ8S4sQWmVZbaaPaQNN5VJctnS1AYDru7vYiWokysznPeUxSd2fGRet3fwDabmIaLQda0wMhumHu18tHgzen2rmqNsXr9jdm2PNOjHesWSjccCk3h2hSGeJCcJXhdsMLF60tIf89q1L4Ln0kdl_DSnLxEiESqRv0Uv3QU072SHAnNiLWuZ56CaRnCh4uBp84zyjHoRf4MFOGPuUc5OWN3dxrZYhVY0spjxxbl0_6nSKKcVPacRR6LJZuTDMSLJ8MF--_hAHR0WhuF2ohzbdq-3O1ap\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering memory consolidation**\\n\\nIt looks like the user wants to consolidate old memories with a new heuristic. I think I should first clarify their request. I can confidently say that yes, I can help with this! I should mention my approach and suggest a plan, possibly asking for their confirmation since it may involve reading the memory database, but a dry run would not include any writes. Also, I might consider using a memory-read skill if necessary, but just answering might be sufficient.\"}]}"},{"type":"text","text":"Sí.\n\nPlan seguro:\n1. leer memorias existentes\n2. aplicar nueva heurística en modo dry run\n3. mostrar diff lógico, sin escribir nada:\n   - qué memorias quedan\n   - cuáles fusionar\n   - cuáles borrar/no migrar\n   - cuáles re-tipar\n   - cuáles reescribir\n4. si aprobás, recién ahí consolidar de verdad\n\nDry run puede devolver algo así:\n- `keep`\n- `merge_into`\n- `rewrite`\n- `drop`\n- `needs_human_decision`\n\nTambién puedo marcar:\n- ruido\n- duplicados\n- memorias viejas pero útiles\n- memorias que hoy violan la heurística\n\nSi querés, lo hago así:\n- alcance: todas las memorias tuyas, o solo de un proyecto/repo\n- salida: reporte corto, sin cambios\n\nDecime:\n- `todas`\n- `solo proyecto X`\n- `solo repo Y`","textSignature":"{\"v\":1,\"id\":\"msg_00bddaf16c51a121016a2171e7dff08191ad83e026dfd78e44\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":542,"output":278,"cacheRead":5120,"cacheWrite":0,"totalTokens":5940,"cost":{"input":0.001355,"output":0.00417,"cacheRead":0.0012799999999999999,"cacheWrite":0,"total":0.006805}},"stopReason":"stop","timestamp":1780576736836,"responseId":"resp_00bddaf16c51a121016a2171e0f1f08191a433906d567452a4"}}
{"type":"message","id":"54a1a3d4","parentId":"c2b4ace7","timestamp":"2026-06-04T12:40:13.544Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] si. one time asi que no es codigo que tiene que persistir. hacelo para todas"}],"timestamp":1780576813544}}
{"type":"message","id":"573a5188","parentId":"54a1a3d4","timestamp":"2026-06-04T12:40:17.322Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering task execution**\n\nI see that I need to use my memory-read skill for this task. Maybe there's no need to ask further questions. I should search through memories using the API. Additionally, it seems I might need to create a to-do for better organization. I wonder if I could use a bash curl command for this? I think inspecting the skill will be helpful too. Let's get started!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21722e791c81919d682ba21fa78266\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXIwkgGjX2HAWu41wremQ2pOVShtLsSUOad8kqPJAThwUoZAZy7wXWzaWjkPJStF8YqwhOgqRZejY0nEDtM3LJtZrnmvroDn2RNAlS2JtPmLCmLPcoKgq7J1pQzeIpntRNTuF2hX6zfuRKb7q-H3IIzB4iDdflWCBqlaNNfpXp0JyFcM6LQOVYVUH6-I3sQ3tfk2FtMBFNCoCCG4LwDqyrKU6pFke_xe7W7br47VJtuBwBXvSN5bwlv9oTPCNmoqu6KKvX9GEDEPMOlTOLh1F-Gp0neXcwN00gbiRodnkbyJyvanAzVP76rXYTNSP9g-EF_vj2LyScnkcHHv9-ZOs4EYZVmA-3S0OR7w1aM0nVnVP3E7FB8hfyVB-_K8Bbh6xkQgS4GHTmMpDC2lgCursnK-iJ2hCgB3IROuVZGgbU5-hm_ty0zWjtWoR2esN4NQcqO3NhYomvnZcTTbv5glZqdg7qnTmaWcyLf9TU9sKs7ufKrWH0l6DeVkQJcIrUdxx0Veb3AvAJ5e29EpxqihrPeSiply4TNKMkMh02k2fnx_sWa8MG88828x8rxK1yPrE6H4CtVcFxT7e_ElSBJa3Bs_MObPMpjvdmOyOY3438u6zW9HkDq4TBuvBL4jHfK2wcIu3ZNJV-gZ08_WuP_51aMRMnpUhmN6XAImPtY_BYWFicBFzAHx3s5cfbvO0EzaX-4KAcjpaukDQoeyRhplCVwJ9VEKQBOU8bCIMCaRFMUf2XiIttreDeeevE9xkyISCq5n6S38NHj8r5Vrt2JUycBHHJzc_ZvRrvN_Y3j4lJF6ZdcFm3oylxC5aqmWewNJ5_TCzyVscIXmvfmSxeQg9BHzbKL44Ig0qzhtzb-uJFg9-VmmiIZIn372yzTcITCymuR_B8RRpIhoQ8nj7Ot0VQm-HApaDtxvA_d-ZoNM77UFeW8hrHpb36kd4GbZP8J82cbjB0G1srUHigxavxBKvgABrsGzJ0DIA6COD0xeEiHQDCz7vv_8I-us2JDoAh82PG_WPohNEcSnHgWWTS93ERNA6J5rZhtgqR6ldIdk3Y5P5-4mn3RL4R7uMPm7WKBo43tFd6MjkFlNOijdTyULit21QLzaKcr1pgfmuC7v8XG-VMGGNRTN_Y1qHq9oqf7vifRh\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering task execution**\\n\\nI see that I need to use my memory-read skill for this task. Maybe there's no need to ask further questions. I should search through memories using the API. Additionally, it seems I might need to create a to-do for better organization. I wonder if I could use a bash curl command for this? I think inspecting the skill will be helpful too. Let's get started!\"}]}"},{"type":"toolCall","id":"call_6KYSIZVf62RefMIGb5ypPxcU|fc_00bddaf16c51a121016a217230d1e08191aedda30524bf7cb7","name":"todo","arguments":{"action":"create","subject":"Dry run consolidate all memories with new heuristic","description":"Read all existing memories, apply current consolidation heuristic without writing changes, and report keep/merge/rewrite/drop recommendations across all memories.","activeForm":"dry-running memory consolidation","status":"in_progress"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":772,"output":113,"cacheRead":5120,"cacheWrite":0,"totalTokens":6005,"cost":{"input":0.00193,"output":0.0016950000000000001,"cacheRead":0.0012799999999999999,"cacheWrite":0,"total":0.004905}},"stopReason":"toolUse","timestamp":1780576813545,"responseId":"resp_00bddaf16c51a121016a21722da5a88191a97e8ce5080575a3"}}
{"type":"message","id":"3823605f","parentId":"573a5188","timestamp":"2026-06-04T12:40:17.329Z","message":{"role":"toolResult","toolCallId":"call_6KYSIZVf62RefMIGb5ypPxcU|fc_00bddaf16c51a121016a217230d1e08191aedda30524bf7cb7","toolName":"todo","content":[{"type":"text","text":"Created #1: Dry run consolidate all memories with new heuristic (pending)"}],"details":{"action":"create","params":{"action":"create","subject":"Dry run consolidate all memories with new heuristic","description":"Read all existing memories, apply current consolidation heuristic without writing changes, and report keep/merge/rewrite/drop recommendations across all memories.","activeForm":"dry-running memory consolidation","status":"in_progress"},"tasks":[{"id":1,"subject":"Dry run consolidate all memories with new heuristic","status":"pending","description":"Read all existing memories, apply current consolidation heuristic without writing changes, and report keep/merge/rewrite/drop recommendations across all memories.","activeForm":"dry-running memory consolidation"}],"nextId":2},"isError":false,"timestamp":1780576817329}}
{"type":"message","id":"edd7aeaf","parentId":"3823605f","timestamp":"2026-06-04T12:40:18.566Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_3hsuvxjLAheM7Z6ITGaYi9UD|fc_00bddaf16c51a121016a2172321798819192b8f024f69c2f48","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-read/SKILL.md"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":398,"output":31,"cacheRead":5632,"cacheWrite":0,"totalTokens":6061,"cost":{"input":0.000995,"output":0.000465,"cacheRead":0.001408,"cacheWrite":0,"total":0.002868}},"stopReason":"toolUse","timestamp":1780576817330,"responseId":"resp_00bddaf16c51a121016a21723173208191b354123bede9d809"}}
{"type":"message","id":"135a3ad1","parentId":"edd7aeaf","timestamp":"2026-06-04T12:40:18.570Z","message":{"role":"toolResult","toolCallId":"call_3hsuvxjLAheM7Z6ITGaYi9UD|fc_00bddaf16c51a121016a2172321798819192b8f024f69c2f48","toolName":"read","content":[{"type":"text","text":"---\nname: memory-read\ndescription: Read persisted research memory, claims, and tasks\n---\n\n# personal-memory-search\n\n## Workflow\n\n1. Execute:\n   - `curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=<query>&scope=global&scope=project&limit=20\"`\n2. Return matching runs, claims, and tasks from the JSON response.\n3. Prefer reuse of prior work before starting a new run.\n"}],"isError":false,"timestamp":1780576818570}}
{"type":"message","id":"6803f085","parentId":"135a3ad1","timestamp":"2026-06-04T12:40:23.162Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering search options**\n\nI think I might need heuristic docs for guidance. Searching for “AGENTS” could be potentially sufficient too. I’ll need to fetch all memories and inspect the API to see if I can search everything. It’s possible there’s no direct endpoint available. Maybe using an empty query could work, so I’ll give that a test run to see if it yields any results. Let’s see what I can find!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a217233af688191a1552fa890362efc\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXI2b3RbRVFjxSkHAV7bc3KsvekBLQYXJ0D0fDuBoT_RhDfRcokqYOvVd23IuFUWkCRUa58gMWKMf1j90sH5rEj4hpsODACfx6NtRRthIoQxshndLg-YAV8U8mkEKPOVXW4vdeL-iakQPDQ76CVSzPbvAL-vq42MIcFoQbuitcpwDtcK9RyNqm88_-znedXvoejOZEnFYGrwaiwv32K8L-8LdcHR_vasQvei9N6635hgDy3SobneiBF56b48rzfgzb3bNy6AxJbDkF9CbCoIK7NTeHJ68FGTkcU9x0bdVjb4AJjOX6gANXhkVDKgmVmT09Q-GDorA5p2hooOKE7JFfZrNG5XI5bIjyyt73JI-vL6q1VdHJkJKQUsG-vlaB6b4LxAMiz36oivAV2DYqok0sGnUiMQQTkEg-ZUrrT7SrmwZxnzyu2rIFZWvwlhHbAVsXEtXiDpwQ56Mqg41jGd53FgOoe487MX0vB2SJPhOyFORia-PBaqZCKuDnvPyK82arH8bhsBrbmsG3Pv5xjRRlVz3YEzdML4EY5pNm7lqXMQYnYv6vcyNo8u1B9dqjef00-AKfWxhVDvrQjcxF93JDww4X2S8B0ifSaN0C751xeb1GPI3-oXieJf62A2SpXEQk9OQQXIb2De-n5RS0zk5uAk5jM9QPS7Wt2qzG3yg1J-xE7d_7YectBHDbTdgANVvRrIeGEO546RUF20j--4PGXM_aJ2zKse1pi-2wLH1MvPkMTAhdRuwrT7K3c1DTOoVlbN25dcsD62cLmFbuLQV6xZog0rBiP5sQtCvMjqaswrjNJy5EwDajGcSmJSeQ0kWqknerbnn1RxxOEW5cQg13xPMQmMtd1UGQhNLtwZj0mu06VE0qU3VEsnOOugIx0mUkoq3q68X5ToQZtZugCTYAD9J1YyFLyoANhKGlVT7ON-dK1E1Rajk-v5X8NBDLiiM-SYHr8TKxzlSRAfure1ZffmMbkxVYzFTMLi9vaFREIJp3_XCoqeMi_B1E-1WXiZBbdfuX62jEx5GAIf3e_-4twk7dbn87K7IWDPfl7ZJFei71kHDUFfNwZ-fSjNENlPiT-4NfMupH0KioaNtjH7JoNAUo9FDU_-2mRsRHaWGGXXF7E_FLsO2fNUlP7ooDx1TBMa\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering search options**\\n\\nI think I might need heuristic docs for guidance. Searching for “AGENTS” could be potentially sufficient too. I’ll need to fetch all memories and inspect the API to see if I can search everything. It’s possible there’s no direct endpoint available. Maybe using an empty query could work, so I’ll give that a test run to see if it yields any results. Let’s see what I can find!\"}]}"},{"type":"toolCall","id":"call_YvWbJspf6JG8WTu2t1Hm9zl3|fc_00bddaf16c51a121016a217236e0a8819195d754c7a7aea652","name":"bash","arguments":{"command":"python - <<'PY'\nimport urllib.parse, subprocess\nbase='http://100.116.176.16:8091'\nfor q in ['', '*', 'a']:\n    url=f\"{base}/api/search?q={urllib.parse.quote(q)}&scope=global&scope=project&limit=3\"\n    print('URL',url)\n    r=subprocess.run(['curl','-fsSL',url],capture_output=True,text=True)\n    print('code',r.returncode)\n    print(r.stdout[:400])\n    print(r.stderr)\nPY"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":542,"output":184,"cacheRead":5632,"cacheWrite":0,"totalTokens":6358,"cost":{"input":0.001355,"output":0.00276,"cacheRead":0.001408,"cacheWrite":0,"total":0.005523}},"stopReason":"toolUse","timestamp":1780576818570,"responseId":"resp_00bddaf16c51a121016a217232ad208191a7e9144183464e03"}}
{"type":"message","id":"5c1519bf","parentId":"6803f085","timestamp":"2026-06-04T12:40:23.304Z","message":{"role":"toolResult","toolCallId":"call_YvWbJspf6JG8WTu2t1Hm9zl3|fc_00bddaf16c51a121016a217236e0a8819195d754c7a7aea652","toolName":"bash","content":[{"type":"text","text":"URL http://100.116.176.16:8091/api/search?q=&scope=global&scope=project&limit=3\ncode 22\n\ncurl: (22) The requested URL returned error: 400\n\nURL http://100.116.176.16:8091/api/search?q=%2A&scope=global&scope=project&limit=3\ncode 0\n{\"retrieval_id\": \"ret_c62f01fa8a5946c49263cd34fca2b86a\", \"results\": [{\"memory\": {\"id\": \"mem_cda20c374a614e6ca531f9e9e121c5bd\", \"type\": \"project\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Laptop helpers use dedicated SSH key on port 2222\", \"content\": \"Configured laptop access to avoid expiring Tailscale SSH brow\n\nURL http://100.116.176.16:8091/api/search?q=a&scope=global&scope=project&limit=3\ncode 0\n{\"retrieval_id\": \"ret_b8064465f7e94c1aadcc93753f50c682\", \"results\": [{\"memory\": {\"id\": \"legacy_task_12\", \"type\": \"task_hint\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Legacy task: Build a shortlist\", \"content\": \"Build a shortlist\\nkind=task\\nstatus=open\\nnotes=\", \"summary\": \"Build a shortlist\", \"confidence\": 0.\n\n"}],"isError":false,"timestamp":1780576823304}}
{"type":"message","id":"e6fc86b9","parentId":"5c1519bf","timestamp":"2026-06-04T12:40:26.955Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring memory retrieval**\n\nI'm considering how to retrieve all memories effectively. It seems like I need to set a query with a limit, maybe around 1000? Pagination could be essential here, depending on how large the dataset is. I should inspect the structure to see how I can count them accurately, which might help in understanding the overall number of memories I can work with. Let's figure this out step by step!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a217237d9d08191b6c8ba781ceb3095\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXI6OcEcL99DYCfDtcBg9H56Sn4fcg9klBhXZMOERJ0zVMA-1rlCkDqTvPL5JGVLna0eSymI_mzRn5B6rZhNncqoMnv3VQodgrlgwJC716ii-G9DNCOWs3RmxfiyueD4qx6FcOcC_iQBm-cA9zetudYO5n93fFY3vludW_RiUZIHb1_IPGET5Qdp_m-2Me1tyRWBJn7y6i1EoVHA-5xHeHpuTBqBHda4681q0ukgFqyVlOLcAhy8boVIoyQoNnB0t0v03HyfXWtWlZX6BI82R0U18lQe5W7sEP-jnrF6q7fBRdkPBEU6Pe1UeSpMCtBsyacRk_j3-Be3--39eZRTrDeRIMyP2ip1RQd3xc4abB9Dfr_NnHmNlQ42R_9oAzJQyFs6A5Xby_B7CfMsZWOgQBODXll6anzqORCa8sFBxMoByWBwKaFvwIOdzstBhGtTX7iwujOTBtAvALMhud25g2DYOzO-gs2trJ_lIkOIqNundKes7OoaZik9eMsqMYGdphuy77bAEjsh9eWu157VtEmvlLrn_JUfen1p1d76a3_ae_1AtcQKzn30oDGIWKTfj2dn4Q6sjm-7On1WO3-nY4Y5u5KyLg-ThjmWvgJapTTCMSokA8AGQFVj-9QTM9e-w_D5ewOWqJaVeljMqRcUT9cGOzxA0ip3GvbkVJh9N98XQm33Hqdug-6l2Vuoh07uDIXzDuM98MLNo32hJwjZGozfpn_QQNAXdesa4l7FQ4z2qQCdZvYoGJlYfNDiZwOG4IgFttyeessQOu79_FFKxyhNfVua6VNglI3ELMO2jeEc_C3hwNvvvYxEZjXeA_QhVFfpmnxpwwaFPk2SHjvIILukfV5sv4Kh0Lcd97miixRqGPgUu8gJwoK8hi0pSBaRnWFBpB_qYRva9KgeM1Ab5lrpVq7xBwEvVlz3uZeUGhGPhtDwbP22MXSUn6iTJ2XZWaBis8JXvt_fhgAIo-Mu37R7c7lROqOnLUY34vLqU_XNr06leooiAKC2gjtKKwa0QBEWCLb-Dh55UG2vvgg95ZD-aFE_Cuwa-L9xRkCkjbvQUGfn0bQO5BEsiYj7YaKDml_T\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring memory retrieval**\\n\\nI'm considering how to retrieve all memories effectively. It seems like I need to set a query with a limit, maybe around 1000? Pagination could be essential here, depending on how large the dataset is. I should inspect the structure to see how I can count them accurately, which might help in understanding the overall number of memories I can work with. Let's figure this out step by step!\"}]}"},{"type":"toolCall","id":"call_0ogiXcoeNitTqLgMqjEAXvhB|fc_00bddaf16c51a121016a21723a30688191968b9e7192545d7d","name":"bash","arguments":{"command":"python - <<'PY'\nimport requests, json\nurl='http://100.116.176.16:8091/api/search?q=*&scope=global&scope=project&limit=500'\nr=requests.get(url,timeout=30)\nprint(r.status_code)\ndata=r.json()\nprint(data.keys())\nprint('results',len(data.get('results',[])))\nprint('first keys',data['results'][0].keys())\nprint('memory keys',data['results'][0]['memory'].keys())\nPY","timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1117,"output":170,"cacheRead":5632,"cacheWrite":0,"totalTokens":6919,"cost":{"input":0.0027925000000000003,"output":0.00255,"cacheRead":0.001408,"cacheWrite":0,"total":0.0067504999999999996}},"stopReason":"toolUse","timestamp":1780576823305,"responseId":"resp_00bddaf16c51a121016a21723765fc8191b60d607a153269a8"}}
{"type":"message","id":"520d7941","parentId":"e6fc86b9","timestamp":"2026-06-04T12:40:27.240Z","message":{"role":"toolResult","toolCallId":"call_0ogiXcoeNitTqLgMqjEAXvhB|fc_00bddaf16c51a121016a21723a30688191968b9e7192545d7d","toolName":"bash","content":[{"type":"text","text":"200\ndict_keys(['retrieval_id', 'results'])\nresults 200\nfirst keys dict_keys(['memory', 'score', 'score_breakdown', 'matched_scope', 'evidence_ref', 'explanation'])\nmemory keys dict_keys(['id', 'type', 'scope', 'status', 'project_id', 'repo_id', 'agent_id', 'source_kind', 'title', 'content', 'summary', 'confidence', 'freshness', 'created_at', 'updated_at', 'observed_at', 'source_ref', 'evidence_ref', 'schema_version', 'subtype', 'run_id', 'task_id', 'url', 'domain', 'origin_agent', 'metadata', 'embedding'])\n"}],"isError":false,"timestamp":1780576827240}}
{"type":"message","id":"cc965a89","parentId":"520d7941","timestamp":"2026-06-04T12:40:36.291Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21723d4cf88191b79da0b1d40779f2\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJAOOQtRITwJ9dSkJdgSufIQ21PxPm3i7-WOjkJc8wvEdTdai_phOfL30KjS45cgiuPIcT-9qjm4fT5d5hAIWR3ucaWgt-uoD8qv4cudRPpklQNT3YPi1EDUSYMPKJismg-cxIy6j_piSDI4MCOprTaNhVqFmTzERvAjx_3Ns17FYBo9bUi9GZ85WqQriFB9QzSSO3Vdt4aA0a0L-x_KjO7u_-0ERKg1rCxQ7Cs3b3nrkbzda-GKDlbNOo9ugN0iwesgiEgBsBoTiECGjy5bXO28sk4XiyLIQjputIHDFzbU16akkd4opyjyN33LiLSUf-5Xom-rTWVp3TFIT1a4BaGY7gTI0kOJ4-hGfBMAaUfTPoJ5PZuhFBx9hMK2U70TkGJJPOCvdLdHSQTP7_LF7ZpIF2awHisSp_AnbrI1IKB2-tCr2mMOBkj8CoX70j5NLB84zPyuOBLVVzakZCAb4Sb1vKoa1JklB5uLU6GaSxDw5Gu5LmfQq2hiagVcjBmSub_Oe6AsqR3UEGfyiM_x8TZUDyuwGdoNffxQJ4r17XDxzhZh_uStoLRqFFsCWxS9LLKYq917XRutmFljOeOI19wqpRo3pCRMcDBzBQDyCtd-SwF7imPuRuF9gMBr8twXOW88jfAUTsI4nP4ln8vvxFK036cS2AEWIDIDrIYy1hnf0ikSiHYOGissQa13WH2MDrErzTmzZjUtsKo6i-ouEHR_MzgRqrgJ1FAg6TedLkAJrzP2x9K2LD_bkj2ckGcWTR01UZUmT95FbDPWDvAMFecw-f7R0Ryr1Sy-UB7OvX5y_HbnSihX3Q9Z2Il2tMcuW5DqznJz8CdSB2eDr8qHqJtHVj9tvW5mp5XNy9W3zsG_zb3KHh4O8Pe6woUWV23FKTxL2B4upAEfUwR1xVmcSym8_Mq_xJ84EICsIVupUD_M69oU4f7vdmTBGwIzixZLXkm_HNnb3TT2a1nU-nDZBOlt2ZtjxY3pj3_G6CQm8W1GWfHQZgN-JxGU9urx7T0ITe-sjz8RiLqT8IA8mny7evGiAS94_g-1EdZ_T73HGlVa6-nifoIet0onxIdtI5Ox94iJ_KW5KFNaEcAZh8BOd3UCJZYyQDn9WoSpFBvHPRCVKYvlzmfG8afHZMWHThPSuabJ9Dgya9l2HKg2mhGUh4yncnPkZcHnzP2fxoEOQtfBci2XYGbLmg4biRZIMzp9xQhQ5u48gJEKe8V1SfLhYcCvf_x2SQri4ULsYDA3Kb6j_A_zMhJj1oL4K84H6Q4_ICS5uJfVtG53-PhbD44k2gOGVzxcoL6JfIChOm2yMDPGMX9ekdg-JCu089V1r78tltr0l4BIZANrAAb7UAspTuEa7cDNqyLh1vuuqNtB9CrVSQXl2iWBRaFGX6UQhkyo60JVel3ZICyZLiVlTSn82bAK1PzEVXqaXGpSn8j4n3-Xon5LRdg9BPpAAPRAfy9Hv9CmWAg2_AZZ-IfK4lSgktrs0jmWW5XLYrRlcHekstYy7Ze6BLvWsMXwMgZSt0f7GWDrC6a6mQOq8ewZQ48lD1AV1wwTG7RRRm4SbQGnLSCk4vUXZR_7D1hWe7skC2SvRw8dxKh7T9DPQ9ZLrP_jfTRcd8yZ7lBUvDcxYBGV7W8If8LXZ-ZVPFgZX3S77L-TyScGxgji35eourSRMEfkMfD_njqM7tKDIW0K-oi5a6GDVyrcsqUxZucgbSNblOFZ27i6mXY1LpzZZE7r4Dkn2pddTEYBRKggVwC2V_DYIeKpXIrBkNkwzRJU4gcKrjQ1X4fXATTyz1ToFLv7fVajHZF4h8Vd7de8d6ToGstYDBTD8fXO9PjJlLJHnHpJkUKWlCuLeFVsKnuqXxwxpZZMxmGoGCHBjnlTyKaOdXLgEkFr03xgYD23MgfnQ9r7XVOfU-oixw2EPYUVR0OimYrPs4ZeQLC-Sf3T3obGBcZ5DydEUg=\",\"summary\":[]}"},{"type":"toolCall","id":"call_kBfZxc47cLGKaMXoPLVjbHBx|fc_00bddaf16c51a121016a217240e1f48191b416470b373a21f8","name":"bash","arguments":{"command":"python - <<'PY'\nimport requests,string\nbase='http://100.116.176.16:8091/api/search?scope=global&scope=project&limit=200&q='\nqueries=['*']+list('etaoinshrdlucmfwypvbgkjqxz')\nseen={}\nfor q in queries:\n    url=base+requests.utils.quote(q,safe='')\n    r=requests.get(url,timeout=30)\n    if r.status_code!=200:\n        print('bad',q,r.status_code)\n        continue\n    data=r.json()['results']\n    for item in data:\n        seen[item['memory']['id']]=item['memory']\n    print(q,len(data),len(seen))\nprint('total unique',len(seen))\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":418,"output":369,"cacheRead":6656,"cacheWrite":0,"totalTokens":7443,"cost":{"input":0.0010450000000000001,"output":0.005535,"cacheRead":0.001664,"cacheWrite":0,"total":0.008244}},"stopReason":"toolUse","timestamp":1780576827241,"responseId":"resp_00bddaf16c51a121016a21723cba4c8191a1b6287c39caade8"}}
{"type":"message","id":"f717aa0f","parentId":"cc965a89","timestamp":"2026-06-04T12:40:37.999Z","message":{"role":"toolResult","toolCallId":"call_kBfZxc47cLGKaMXoPLVjbHBx|fc_00bddaf16c51a121016a217240e1f48191b416470b373a21f8","toolName":"bash","content":[{"type":"text","text":"* 200 200\ne 200 213\nt 200 213\na 200 213\no 200 213\ni 200 214\nn 200 214\ns 200 214\nh 200 228\nr 200 228\nd 200 228\nl 200 228\nu 200 228\nc 200 228\nm 200 228\nf 200 233\nw 200 275\ny 200 275\np 200 275\nv 200 277\nb 200 277\ng 200 277\nk 200 278\nj 200 290\nq 200 300\nx 200 302\nz 200 302\ntotal unique 302\n"}],"isError":false,"timestamp":1780576837999}}
{"type":"message","id":"3b92c3e1","parentId":"f717aa0f","timestamp":"2026-06-04T12:40:44.269Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering memory organization**\n\nI might need to gather more memories, possibly using 2-letter combos, but that could be overkill. It feels like I should do a dry run, likely around 302 unique entries, focusing on active ones. I'll fetch a unique set through multiple queries and classify them based on a new heuristic. It's important to understand the specifics of the heuristic from AGENTS. I want to stick with fewer high-signal types and avoid trivia or secrets while analyzing memory titles and content. Finally, I plan to export the dataset.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a217246b0ac81918d7cc50efc3323cc\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJKrsn0URUxouSaB5GsstKtbTgNmAQeW7Tyqet6CFqNvDv5oT3BYDkix-OeIw-2r1rjAOYABoi7uOZHVJCcsq6diZd7wQs3zUljLRp7GiJY0nXGtSiIM4MX1LiwNKHfxzB9b3kzLHrEOFtNVxh0Dhz9XWSgnd-Fq_2YhrbcqxU7K0lVMLh0fnBA3HJwAkrqpc3pFEukwUBberY5FuofTcC3_oXFhlZsboY6j7EsadoYycvsFHHT3w6GeetIAMQin1rZyhPOpExO7hoRXatLFWBKUF-mkFCzQ-Z4Awlq734G1URMxlfn1Ot-8aKEWoIvWaJev7fRMTviNxgBF4_oMf9XIhijPBoBCff6t-_tPcEh4wOucR7kU-LSbfLNEh4yuGpRT8sd5e2aDlbEWwePZ74u6xQ4nD7ECb12o1YWUpEJE2EUyGDCpXgKZHQjEmG3bATlmkiRJW1BuDMS1t0XpVxuN9LUSEp71IzHOxDwTFr4Vf0l2NSmyNWcwXHUUEqJfSIn-6kO88Ck3Epch7Awbjp3RZppm4lvceu5m24wJv2kvqrju3spGWhh-p79mR_0BN6NUFqw4wN2ZiTgVe2lXeNrmEz7Ix4M6Q-opfMso6UBsjFTBqgZ-PUocQA5Q_3oJJYQhCtvagTC_VBxg3-rYhA9Vuw0dK44IVKnvVtFY30jUFIZjXfVj6yjAf1QZPei49l2dQXsUQ5xwW_UxiXOjmwHPRED_fgWl7fSdyXE6yw_S22INp9WUBwIoK7ugBR-JxPQduQYPMwykUhM2WzfdfKwXcsFcJ7DG7sQHz_Ej17K8-lmPjBa5uVR0NZN81mArEDqIXI0Jgam80F7F_cgONnf5lHJX8wb3MD8SoKRBSbxkSjhiNoHc-MaPle6iYfupBxyDN9Pe_Xu1ZySL2mVj4DIF4Hip40PfZU2N4HyQjCnBLH9XszrezSGQWTWBeNf97uV7riJhQsrdLwd6JgLd1jr8_zLRKCLx3c7vD5emOMTVKqeV9Bmh8jd_6V358ALRYrAYpOkkE4iM65j8AMh88IsfM_n4WwJNerQBvH4GDkJN-9Aea1S3Atouc-27nzdYdIXmIigKs4ONOJWllWc3fg3glBatdv7n0yRaMtZD-e8EfYkdL7_9GY3PMMBFDNSAa0rfzDu_tasN__hpa0uS6tIlG7vuUloDaImEv-kcIuvj4AR2435eQFmjIWLJvdY2_SiXYGxRFhghrjeK0pYhGygwgxNJJH9TUi2pSRDs0bVS50t82HOEvqLlYFxiKLyYtjClz8exaZ7KoNF8MG1XfzM0w0Tp9Kb7gKp7Nv4ZzEot3MhQ2r6nUbPQNdszOjr6zxyWMW7DYeUGSwZ_cL-tkGKZve5eFiZFhYulrbH-_oHKYsmTaFnuaMy1d-EwnovEYxWxvEEvCOpZ09q5TTI0uGDqCq1cIQ4sEfxaSE2GSrlDsmFSsKwwOat6mw1Yy5TtrO0\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering memory organization**\\n\\nI might need to gather more memories, possibly using 2-letter combos, but that could be overkill. It feels like I should do a dry run, likely around 302 unique entries, focusing on active ones. I'll fetch a unique set through multiple queries and classify them based on a new heuristic. It's important to understand the specifics of the heuristic from AGENTS. I want to stick with fewer high-signal types and avoid trivia or secrets while analyzing memory titles and content. Finally, I plan to export the dataset.\"}]}"},{"type":"toolCall","id":"call_XMolcfMy9NWX9tF83FVN2Ro7|fc_00bddaf16c51a121016a21724a633c8191b5c582d42f2e899d","name":"bash","arguments":{"command":"python - <<'PY'\nimport requests, json, itertools, string, os\nqueries=['*']+list('etaoinshrdlucmfwypvbgkjqxz0123456789_-')\nseen={}\nfor q in queries:\n    url='http://100.116.176.16:8091/api/search?scope=global&scope=project&limit=200&q='+requests.utils.quote(q,safe='')\n    r=requests.get(url,timeout=30)\n    if r.status_code!=200:\n        continue\n    for item in r.json()['results']:\n        m=item['memory']\n        seen[m['id']]=m\npath='/tmp/memory_dryrun_all.json'\nwith open(path,'w') as f:\n    json.dump(list(seen.values()),f,indent=2)\nprint(path, len(seen))\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":965,"output":306,"cacheRead":6656,"cacheWrite":0,"totalTokens":7927,"cost":{"input":0.0024125,"output":0.00459,"cacheRead":0.001664,"cacheWrite":0,"total":0.0086665}},"stopReason":"toolUse","timestamp":1780576837999,"responseId":"resp_00bddaf16c51a121016a217246177c8191b69819cd81867170"}}
{"type":"message","id":"af2c4858","parentId":"3b92c3e1","timestamp":"2026-06-04T12:40:46.486Z","message":{"role":"toolResult","toolCallId":"call_XMolcfMy9NWX9tF83FVN2Ro7|fc_00bddaf16c51a121016a21724a633c8191b5c582d42f2e899d","toolName":"bash","content":[{"type":"text","text":"/tmp/memory_dryrun_all.json 304\n"}],"isError":false,"timestamp":1780576846486}}
{"type":"message","id":"8e6fc781","parentId":"af2c4858","timestamp":"2026-06-04T12:40:50.006Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21724f174c8191aa32f29089ff24b4\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJPdIFrNmpbBnVxDiA-nMLGCRdADrwNQShcQsJf_3C2Gfa-x_jBXuh9vsIkW9ZGPdu4AkHeegafokKPdqnE4AlzcOl8E5E355FDZI2btwANx8YqgQSXw3wpEFZQYAk_NdrKnnPPwPO7jP20Nm_4AoOTWNFnu7aoNqpDrgvLfQ-2J4bV1QPWxmJ_XozHH6NBPsYmO8yhOITAYKz_nEFbVr7J6ozT0zibAO_kmh9tL5K7ndgp6hjblr8dRlyavIBpT5_eRHjiUeZGlLT9jXwUOqPkMCBLV4ErZBjS1Fu0CJzcLYei8vhdZsVpqZhyLJwHJd4UlaomvSg5dKyhbGRqb5_fbugLm9FFpfO6uXQeilYrIShANoqLuowmcopnOeCBVcUDX-wUML4sAfX7Byq0AW5jTb2l3bR4_T5jMBeXb2e9Fkk168dSDd5LDETXI9B2WO83OwNVFPmoiifmrMh4bKgLCr7uhg427QiRKlkSvkgOUByDaXDBwjc7Vf6vUpN5gz3hF6O9iDVQ8GBq4io-LslKozvuHqdQrS9FRndofWVrLO1GOil4yRTqv-xeMjWVJj1nVubYIzvMFUEQexOdwrVSAxVWqy7pJSOXi25-GpxkrVWqdGNtFsmc8wvVYTv2KzGbhVUOg5P8Nb8PzJIq21YQsoaXOpMJHclmT0ABQ5gK651Y3KhGnWziejfxP5JIsikVTAgIflUzwWeENU0WP2CSVQsr8rstcdccBDCzrWdQ3YPnFiS-RmOvJ_7EOwgsm2gmOeKOg6j7-6HQsrm5cumRXf-mADY9NOOUG2hOK2QnFmp7RvWWo6VbHhdHaPMQfGzBeAQzAl3HEg4EqVfC4kwv62by_EPrKV4ueubPqX3pVlKWvCgDAuxyFaFt4eMSawflLILkCOqy9jjjZszo5s89jw2rkPSrmn1RNfdljf_86ZiZgAhQxpVett7vwD9nL0mr\",\"summary\":[]}"},{"type":"toolCall","id":"call_VorqUYJVxeZtfFhN9NAOLFBE|fc_00bddaf16c51a121016a21724fd4048191b7a05a29b18a3eab","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, collections\nmems=json.load(open('/tmp/memory_dryrun_all.json'))\nprint('count',len(mems))\nprint('types',collections.Counter(m['type'] for m in mems).most_common())\nprint('scopes',collections.Counter(m['scope'] for m in mems).most_common())\nprint('status',collections.Counter(m['status'] for m in mems).most_common())\nprint('source_kind',collections.Counter(m['source_kind'] for m in mems).most_common(10))\nPY"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":781,"output":158,"cacheRead":7168,"cacheWrite":0,"totalTokens":8107,"cost":{"input":0.0019525000000000002,"output":0.00237,"cacheRead":0.001792,"cacheWrite":0,"total":0.0061145}},"stopReason":"toolUse","timestamp":1780576846488,"responseId":"resp_00bddaf16c51a121016a21724e93a88191800bf0a2a5fef245"}}
{"type":"message","id":"c95d9903","parentId":"8e6fc781","timestamp":"2026-06-04T12:40:50.062Z","message":{"role":"toolResult","toolCallId":"call_VorqUYJVxeZtfFhN9NAOLFBE|fc_00bddaf16c51a121016a21724fd4048191b7a05a29b18a3eab","toolName":"bash","content":[{"type":"text","text":"count 304\ntypes [('task_hint', 83), ('episode', 63), ('artifact', 56), ('profile', 39), ('decision', 29), ('project', 27), ('procedural', 4), ('task', 3)]\nscopes [('global', 249), ('project', 55)]\nstatus [('active', 304)]\nsource_kind [('manual', 268), ('document', 22), ('run', 14)]\n"}],"isError":false,"timestamp":1780576850062}}
{"type":"message","id":"d1996648","parentId":"c95d9903","timestamp":"2026-06-04T12:40:54.068Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering duplicates and clustering**\n\nI think I need to identify duplicates or clusters among items. To do this, using heuristics based on title similarity seems like a good approach. A concise report would be helpful, I guess. I could utilize an LLM via a subagent or consider Python clustering methods. It might be useful to read through the list first, particularly inspecting the top entries along with their IDs and titles for better clarity.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a217252c6d08191a7d6f742c4e7ea3b\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJVnhYKgF781Va5LCrWGH7ma0Z0xRYHLYc20HgVttu1Or9ITxWhnzrYvHCCowH9XdKSypeUqgBx7me6onZ2XdGrpRs4OBWjZtAIms4XrOujuXZzwEOqvogktjqNP6_-_dguKYX8-WjOrBuenLkucqb4njVK28hQUXcKjRWXxfu0fczTWgc7Zjppw7PlXFX9goT99y91cQq9I2YVoAkqFwWzOqZftuOmhztaV5etgiyW2KM5WDL7DDziIJ2iFkzYh8aap-DGgCtqb0JQ1AeUdXhlI1XapmbL2GjzTQJQnOMGWh0zBFRPzHSIfSUiq0Is-wx3H8uLpxIJf04STRE_9w7sZ7pdGmAEaF768aeO4RT6XwvzdhesalCOppbU_yYDI_vhXwMfcCDTvVL37cjqmSQ-J6XM0as7G6prU9vqpGQnPZseIpiO4MlbDGDtufVTRYzYsgIXvp8DbYUQQfeq7SGsNaMyHqwDDmi43VBRO_EOqlXoBeB3DJIXDw9vSTFTNwxlYBP6OAH9eFZxLZ9LhL3RuVoBhPZzNc1E2UXdzVRLXnfAvMUSTg3VBpjeffqmb86iq1ousUPIq43-fb1j3OrYzk8D6rxzebPeC-79twKFxakYDhPCF5Jc5f09vrITenxDGdh4DaZQqfp7h8XKAftXYjU1m3gAP6ouhWCMzKJ7djx8HyRAjUV35F62GsJPfufhC7YxFyEcU8UTwxHSCo_-BiFtxghEjRDicbYbfZuOVsdy8qN4sl4REDXy7VhsLtJqQoAQwaBEqbGalbSvOhPwZKmzRiRjZxKqgI6WFmvNQ-jE41uDEeD9LY3ZvwI_ojiTAJBZSDDQ3OLxsxGBX86OjMMM6oFc0ze4eVnrz2nEh-wKQxS8BwZ3p488-lPf9KAJCaWmRP7j8NUGkZ1R-tbxWUbWZ0J7fmguFQuIfJSwoTSBb7Lq2e34XahxGkrzuRioVdNmpPxUI3Zltkn9F3RKHwFCh9Y9_7JF3SvvF8WG3jShUYhk-itnXFeEsOURgelZS19a60oAUWpWRIGkCXjE782flZv5J_GhqsQ3zKXlfOWRUq-zzMIejXZJ8RcA2tk32TMNA4JGIhjiScDjsPFz7ceT2KQQn0jW-uECpSsgUHN2mAJqpoq3LfqnT6gsGptE9CNFK_JKEQntQljKCPt1Gy7QKtxdd0YKIHlU64xa_IIDTkQJpKo0mMm7WYIcmD8Jb5TWhmWxCF52FPF0rbEUHg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering duplicates and clustering**\\n\\nI think I need to identify duplicates or clusters among items. To do this, using heuristics based on title similarity seems like a good approach. A concise report would be helpful, I guess. I could utilize an LLM via a subagent or consider Python clustering methods. It might be useful to read through the list first, particularly inspecting the top entries along with their IDs and titles for better clarity.\"}]}"},{"type":"toolCall","id":"call_SYS1GVdgnkDyRsbmbWjjXUrP|fc_00bddaf16c51a121016a217255c7bc81919ead8a821da5df70","name":"bash","arguments":{"command":"python - <<'PY'\nimport json\nmems=json.load(open('/tmp/memory_dryrun_all.json'))\nfor m in sorted(mems,key=lambda x:(x['type'],x['updated_at'] or ''))[:120]:\n    print(f\"{m['id']}\\t{m['type']}\\t{m['scope']}\\t{m['title']}\")\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":534,"output":163,"cacheRead":7680,"cacheWrite":0,"totalTokens":8377,"cost":{"input":0.001335,"output":0.002445,"cacheRead":0.0019199999999999998,"cacheWrite":0,"total":0.0057}},"stopReason":"toolUse","timestamp":1780576850063,"responseId":"resp_00bddaf16c51a121016a217252275c81918d42ba2f16a922a2"}}
{"type":"message","id":"6ae99c20","parentId":"d1996648","timestamp":"2026-06-04T12:40:54.160Z","message":{"role":"toolResult","toolCallId":"call_SYS1GVdgnkDyRsbmbWjjXUrP|fc_00bddaf16c51a121016a217255c7bc81919ead8a821da5df70","toolName":"bash","content":[{"type":"text","text":"mem_24cdae17a688446c970b0a5875e2d2e7\tartifact\tproject\tBallbox company-agent write-path check\nmem_5895611b217c4c5db83b7aa9e7399e1e\tartifact\tglobal\tpi-extension-search skill\nmem_adb8071246734b2bb4209f1bf260ae18\tartifact\tglobal\tpi-tau-mux hardcodes session path\nlegacy_source_9fdccb34-cf1e-47bd-b133-a224f363a6d4_2baeb052be7182e4\tartifact\tglobal\tExample source\nlegacy_source_a8512264-8cd5-4c3c-b62f-7528625227f1_9cd66d7ad4f9c491\tartifact\tglobal\tCapture Verification\nlegacy_source_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_d888111349c5949c\tartifact\tglobal\tHDFocus 55-inch outdoor weatherproof digital signage\nlegacy_source_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_329a120b76e7014f\tartifact\tglobal\tGenevision 55-inch floor standing Android signage\nlegacy_source_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_c68708b376f2850c\tartifact\tglobal\tWSC 55-inch outdoor floor standing signage\nlegacy_source_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_03ec74fd2f55f797\tartifact\tglobal\tMade-in-China outdoor digital signage category\nlegacy_source_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_b928c046ef9e26cc\tartifact\tglobal\tImplementing the Full-Screen Experience\nlegacy_source_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_d400e6d93b89520c\tartifact\tglobal\tHammerspoon hs.hotkey\nlegacy_source_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_6830f94c80239b4d\tartifact\tglobal\tHammerspoon hs.webview\nlegacy_source_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_7c9cff2a855c52be\tartifact\tglobal\tRaycast AI manual\nlegacy_source_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_c979d84b00dff9b4\tartifact\tglobal\tNSWindow.CollectionBehavior.canJoinAllSpaces\nlegacy_source_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_4a862723e6f3473f\tartifact\tglobal\tRaycast hotkey\nlegacy_source_35bd54a1-0135-414e-9c6b-245fca772f54_d6271ff907c7638c\tartifact\tglobal\tmercadoPagoProvider.ts\nlegacy_source_35bd54a1-0135-414e-9c6b-245fca772f54_64db63db4f1f1839\tartifact\tglobal\tballbox-payment-integration PLAN.md\nlegacy_source_35bd54a1-0135-414e-9c6b-245fca772f54_60c56c6672d7e2ac\tartifact\tglobal\twebhook.ts\nlegacy_source_35bd54a1-0135-414e-9c6b-245fca772f54_c24504bb7770e471\tartifact\tglobal\tindex.ts\nlegacy_source_7e6517b3-759f-4063-8d98-121d9cba45c5_84b4fd9c44d3870e\tartifact\tglobal\tGitHub org API metadata for Trading-Mastery\nlegacy_source_7e6517b3-759f-4063-8d98-121d9cba45c5_87caadc0f912376f\tartifact\tglobal\tTrading Mastery GitHub organization\nlegacy_source_7e6517b3-759f-4063-8d98-121d9cba45c5_312775bdd9d78b3d\tartifact\tglobal\tTrading Mastery go subdomain\nlegacy_source_7e6517b3-759f-4063-8d98-121d9cba45c5_e9c80596a94bd14d\tartifact\tglobal\tTrading Mastery Knowledge Centre\nlegacy_source_7e6517b3-759f-4063-8d98-121d9cba45c5_17e59f8b76b3dce1\tartifact\tglobal\tTrading Mastery Contact Us\nlegacy_source_7e6517b3-759f-4063-8d98-121d9cba45c5_b9fb886bdcf19255\tartifact\tglobal\tTrading Mastery About Us\nlegacy_claim_9fdccb34-cf1e-47bd-b133-a224f363a6d4_782d8169bfd49348\tartifact\tglobal\tResearch claim: Personal assistants are trending toward local memory plus explicit approval gate\nlegacy_claim_55b6eaa0-9ff5-438c-a375-50f0452079cb_94c9a4ce114180c3\tartifact\tglobal\tResearch claim: Current ballbox-payment-integration repo is directionally aligned with a vending\nlegacy_claim_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_debf10ea226a73ff\tartifact\tglobal\tResearch claim: There are multiple 55-inch China-sourced digital signage options already markete\nlegacy_claim_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_c8f1da6eb425ce87\tartifact\tglobal\tResearch claim: Made-in-China currently lists multiple outdoor Android/high-brightness signage v\nlegacy_claim_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_7e34ebfab9d62f01\tartifact\tglobal\tResearch claim: For padel venues with direct sunlight or semi-outdoor placement, 1000-2500 nit o\nlegacy_claim_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_3b87a932d99841c5\tartifact\tglobal\tResearch claim: macOS fullscreen mueve la ventana principal a un Space separado; para convivir c\nlegacy_claim_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_a7cb56ffe7c78e19\tartifact\tglobal\tResearch claim: BetterTouchTool permite atajos globales, HUD overlays y floating menus/webviews \nlegacy_claim_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_f579bd685e817963\tartifact\tglobal\tResearch claim: Raycast ya resuelve el trigger global y se superpone sobre la app actual; AI Cha\nlegacy_claim_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_3a9bccf15163d7e1\tartifact\tglobal\tResearch claim: Hammerspoon expone hotkeys globales y webviews transparentes con control de leve\nlegacy_claim_35bd54a1-0135-414e-9c6b-245fca772f54_fdb013b190e6349a\tartifact\tglobal\tResearch claim: The repo is buildable and passes its current local verification gate, but that g\nlegacy_claim_35bd54a1-0135-414e-9c6b-245fca772f54_633b0b4d6c71078d\tartifact\tglobal\tResearch claim: MercadoPago production integration is not yet production-safe because the real a\nlegacy_claim_35bd54a1-0135-414e-9c6b-245fca772f54_c6796a97908c5d93\tartifact\tglobal\tResearch claim: Webhook authenticity is not enforced correctly today because signature verificat\nlegacy_claim_35bd54a1-0135-414e-9c6b-245fca772f54_5aac99d0b141d8cf\tartifact\tglobal\tResearch claim: A first production rollout depends on external contract discovery because the re\nlegacy_claim_7e6517b3-759f-4063-8d98-121d9cba45c5_0c62c2e2636ef4cc\tartifact\tglobal\tResearch claim: Trading-Mastery is a real public GitHub organization account created on 2024-09-\nlegacy_claim_7e6517b3-759f-4063-8d98-121d9cba45c5_a3fa0782e023b5b6\tartifact\tglobal\tResearch claim: Trading Mastery operates a public website at tradingmastery.com.au and presents \nlegacy_claim_7e6517b3-759f-4063-8d98-121d9cba45c5_f211af78097e660e\tartifact\tglobal\tResearch claim: A private repository named Trading Mastery backend is plausible given the org ha\nlegacy_claim_7e6517b3-759f-4063-8d98-121d9cba45c5_abe00dfd75ddd023\tartifact\tglobal\tResearch claim: The official Trading Mastery site publicly exposes company/contact details inclu\nlegacy_claim_7e6517b3-759f-4063-8d98-121d9cba45c5_2308932b1580ee98\tartifact\tglobal\tResearch claim: There are at least two additional web application surfaces under the same brand:\nlegacy_claim_7e6517b3-759f-4063-8d98-121d9cba45c5_b6e2f67601e668f2\tartifact\tglobal\tResearch claim: The GitHub organization is likely related to the tradingmastery.com.au business \nlegacy_claim_73698c1a-612d-456d-b178-6286ae9ab9cd_ea83fb560563f112\tartifact\tglobal\tResearch claim: Sebas said main is already connected for street-cast-pwa.\nlegacy_claim_73698c1a-612d-456d-b178-6286ae9ab9cd_2cb5bb444cc49676\tartifact\tglobal\tResearch claim: Sebas said main is already connected for street-cast-server.\nlegacy_claim_73698c1a-612d-456d-b178-6286ae9ab9cd_153d4bcd9fffe7e9\tartifact\tglobal\tResearch claim: When Sebas shares notable facts about himself or his projects, persist them in l\nmem_3c62253993584122a81f9a21de4acc33\tartifact\tglobal\tballbox-first microSD migration handoff\nmem_d476503aedfa452cb0be0a7d8a6087cb\tartifact\tglobal\tHome domotics controllability baseline on ballbox-first\nmem_541c5ade3b7141d28217b30d48da4e83\tartifact\tglobal\tHigh-value home paths found on root\nmem_92e6e50e73a546c39c04cfbb2c58c1d5\tartifact\tproject\tSession memory job artifacts live under pi-config session-memory-jobs\nmem_4d067cc96f424bd2926982bf02107663\tartifact\tproject\tpi-job script path works from /home/sebas/pi-config\nmem_a0882b18483d4f4f99913e28c69c06e0\tartifact\tproject\tOPS-1 docs and evidence trail should be recorded in plan/queue/docs\nmem_7241420239534c22be6b71d3588ca81f\tartifact\tglobal\tagents-database status endpoint\nmem_3032f881e65c43da946671e4bfd6f3c5\tartifact\tglobal\tCompact task kickoff template\nmem_8517007aa63c464c9b84431f6562769a\tartifact\tproject\tOurVend FTP host is cloud infra, not machine access\nmem_ballbox_atc_constraint\tdecision\tproject\tBallbox ATC association constraint\nmem_ballbox_alias_resolution_rule\tdecision\tproject\tBallbox alias resolution rule for Volvox mentions\nmem_sebas_confirm_irreversible_actions\tdecision\tglobal\tRequire confirmation for irreversible actions\nmem_ballbox_success_metric_6m\tdecision\tproject\tBallbox success criteria for next 3 to 6 months\nmem_ballbox_cost_over_elegance\tdecision\tproject\tBallbox decision priority: cost and business impact over elegance\nmem_sebas_uncertainty_policy_question_then_execute\tdecision\tglobal\tSebas uncertainty handling preference\nmem_sebas_name_disambiguation_two_sebastians\tdecision\tglobal\tDisambiguation rule for two Sebastians in Ballbox context\nmem_sebas_non_negotiable_relationships\tdecision\tglobal\tSebas non-negotiable: interpersonal relationships\nmem_v1_legacy_bridge_status\tdecision\tproject\tV1 legacy bridge policy\nmem_codex_add_dir_agents_database\tdecision\tproject\tCodex should launch with agents-database as writable extra dir\nmem_runtime_agentic_refactor_priority\tdecision\tproject\tRefactor runtime toward Codex-agentic orchestration\nmem_phase2_agentic_runtime_task_eaf005df03fb441ab2b84df7ea05178d\tdecision\tproject\tPhase 2 runtime continuation package\nmem_6b468c8ed38a488392762d473ab20904\tdecision\tproject\tTCN buyer QR uses on-screen display, not scanner hardware\nmem_de96b3b04d544628b1ab1f6a33d270c8\tdecision\tproject\tFirst machine rollout uses Ballbox and tenant collection modes\nmem_94ec049a0b6345ad9e54746c62a51908\tdecision\tglobal\tNative tmux pi batch jobs for one-prompt subagents\nmem_ebbca254ff484623b6d63073ee758d8d\tdecision\tglobal\tpi-tau-mux stale ctx fix in tau-client\nmem_90f4bcce6d284ed0b6f6edb9a6ec6cc2\tdecision\tglobal\tPrefer session-end memory writes\nmem_b161e2e3072a49099cabb17193a4fb15\tdecision\tglobal\tServer-side SSH idle timeout set to 4h\nmem_02a8d3bf9ae04a85aa700eb4d5c045e9\tdecision\tproject\tPrefer native tmux + pi sessions over the agent-start extension for side-agent workflows\nmem_c636b2dc79794c57aded818ba6fdae2f\tdecision\tproject\tReplace agent-start extension with native tmux+pi workflow\nmem_fb6b4fa0a1534849a15949e2f17dc364\tdecision\tglobal\tballbox-first uses home-first agent layout\nmem_fc344ecfd47a4f1cb669306f791a26f1\tdecision\tproject\tBB-004 EPUB-first offline pack\nmem_b1fe3f813e97480487d2bae29b0a8418\tdecision\tproject\tVending web v1 scope and test notification\nmem_caa17fc9013941b08d40188047b0958d\tdecision\tproject\tBallbox accessibility should follow html-first in Next\nmem_2f2c6741e5994563ac317c35c2de5093\tdecision\tproject\tOPS-1 validated only after real production payment flow completes\nmem_b7c29c94c9aa44448e1a043e2740ab87\tdecision\tproject\tFix provider auth before validating memory ingest end-to-end\nmem_5a157e5a8f1948899b22aaefe5f2d658\tdecision\tglobal\tAgent doctrine shifted toward completeness and validation\nmem_276ab55db95f48ee93012e6a689cc289\tdecision\tproject\tBallbox TCN payment reality 2026-05-26\nmem_4870951158a94c72ac1dd324c720731e\tdecision\tproject\trss-offline PDF uses reader-style print layout\nmem_ballbox_summary_snapshot\tepisode\tproject\tBallbox snapshot March 2026\nmem_v1_multi_repo_cross_reference\tepisode\tproject\tV1 multi-repo cross-reference\nlegacy_run_9fdccb34-cf1e-47bd-b133-a224f363a6d4\tepisode\tglobal\tResearch run: Investigate personal assistant patterns\nlegacy_run_a8512264-8cd5-4c3c-b62f-7528625227f1\tepisode\tglobal\tResearch run: Verify capture-url flow\nlegacy_run_55b6eaa0-9ff5-438c-a375-50f0452079cb\tepisode\tglobal\tResearch run: Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\nlegacy_run_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\tepisode\tglobal\tResearch run: Source 50+ inch China displays for Ballbox advertising in padel venues\nlegacy_run_8248124f-5145-475f-a3c7-a37b619abfa0\tepisode\tglobal\tResearch run: Test intake flow\nlegacy_run_b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\tepisode\tglobal\tResearch run: Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\nlegacy_run_2c54c32b-3cf1-426b-98a6-9c43971573ff\tepisode\tglobal\tResearch run: Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\nlegacy_run_fbe3fc0d-b05c-455e-9afe-1b17b4640d97\tepisode\tglobal\tResearch run: Responder a Codex sin salir de una película en fullscreen, con UI mínima y poco intrusiva, y evaluar cómo implementarlo\nlegacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7\tepisode\tglobal\tResearch run: Analyze the best next steps to make ballbox-payment-integration production-ready\nlegacy_run_35bd54a1-0135-414e-9c6b-245fca772f54\tepisode\tglobal\tResearch run: Production-readiness plan for ballbox-payment-integration\nlegacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f\tepisode\tglobal\tResearch run: Produce a production-readiness plan for ballbox-payment-integration\nlegacy_run_7e6517b3-759f-4063-8d98-121d9cba45c5\tepisode\tglobal\tResearch run: Find online references for the GitHub organization Trading-Mastery\nlegacy_run_b12b10fb-c56e-4774-aaa6-c2088b2668ab\tepisode\tglobal\tResearch run: Map named individuals to Humand engineering via public references\nlegacy_run_73698c1a-612d-456d-b178-6286ae9ab9cd\tepisode\tglobal\tResearch run: Persist user/project facts from chat\nmem_6485e21fbc354ebf98cea3fa5a1cc6e6\tepisode\tglobal\tagents-database maintenance wrapper fix\nmem_4b3428254ffb442ca1762d1a5895100d\tepisode\tglobal\tInstalled Vibes on ballbox-first\nmem_2547c456e8d845ffad407ad5b606e24a\tepisode\tproject\trss-offline PDF pack stabilized for iPhone test\nmem_250c2415e6cb4560a45ffc165052aed6\tepisode\tglobal\tLinux update space-recovery pass\nmem_648aa9d0224b46fe85ebc08e41f75835\tepisode\tglobal\tNeed to estimate memory yield from missed session-end hooks\nmem_194dd7c3ce7941b7ae6b0ae57f28caac\tepisode\tproject\tpi-job hello smoke test succeeded\nmem_c8c7e1c8af7d4665aafe58baca242345\tepisode\tglobal\tRemoved SSH session timeout at user request\nmem_29757fd2758842dc9c3c0ae699258d79\tepisode\tproject\tOPS-1 was still pending real production evidence at session time\nmem_3b089c54e76d4a79a5bb8836551e9571\tepisode\tglobal\tMemory ingestion likely undercounts low-quality candidates\nmem_7b096c8a2fca4c7ea123d778c32ef3ad\tepisode\tglobal\tTelegram session was probed with greetings and /new\nmem_d3883db57b314d16a16355876dca66cc\tepisode\tglobal\tRequested delegated research handoff for free-model fallback\nmem_c80220ae1130409b913a394727059731\tepisode\tproject\tballbox: ¿Qué herramientas tenemos hoy para navegar Internet?\nmem_6831b78c9c964e3fb9db0c43afa2dfec\tepisode\tglobal\tsebas: Actualiza el agent dorandí que diga evitar a toda costa repetirse. Esto…\nmem_282e57f1ffe6455e82fbe4d184445f2c\tepisode\tglobal\tsebas: [telegram] alo\nmem_de64feafc920451eaa0c25ee1666f4af\tepisode\tglobal\tsebas: [telegram] start backlog tasks in parallel. ask them to run as much as…\nmem_5764c637222e487cafc71928884bc1d5\tepisode\tglobal\tsebas: [telegram] Dame el link Arrival Guide que había creado para cuando lleg…\nmem_af7ad5e49a1b4f4e92064fcfe9028efa\tepisode\tglobal\tsebas: [telegram] guarda en raw mis gastos europa (imagenes + texto extraido)…\nmem_c765760853224345940d788c503b32d7\tepisode\tglobal\tsebas: [telegram] saca el proyecto freshrss (codigo, docs, links, todo) y para…\nmem_a1f632320762487c8864dd45f2cbf394\tepisode\tglobal\tsebas: [telegram] hazme en inglés, un texto explicando con flechas, el flujo m…\n"}],"isError":false,"timestamp":1780576854160}}
{"type":"message","id":"79f17663","parentId":"6ae99c20","timestamp":"2026-06-04T12:40:58.177Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering analysis needs**\n\nI’m thinking I need to improve my analysis, particularly by identifying any low-quality drops that are obvious. It might help to have more lines, maybe a look at different profiles, projects, or tasks. I could create a report file to organize my findings. Plus, I should inspect the profile titles to see if there’s anything that stands out or requires more attention. Let’s see how best to move forward with that!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2172571d948191a274dc8b7d14c13a\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJZ-3ZYwHNpX5PqHDE3b0wdrVs0gldNTi7JX-JluwEL_bjwGNldzAfUI4bxigiVm4UZETJvZGSQeN5jolU28g04FoFIjZi9ivjUg-KobsgtEVnhjpmtisWFcLreyY_fjKA83ZEGM4V4zL9TPEochUxKJQyL_cWnWMeElmK0-xmQBJNZVeAVvvebDRQJ_z29LUF5ssEmlr2b4cdwOOXvxTBBMovC27l4sf6CZgS-d2ZokR40se1LguCgTtuJc0r3bDLHLRZ-Kw97orV-_sJf0D7DO0amDpB6LnlBnTO4h9S8fmD1n6Gx0baGeqIfNxXCZ9wKFVnpeyVNBOW9d3UpULhOlUiaxeLIopMXsdCc5EO3fRHYn5TieKdhDHJiqs9qEj52WFDB1FasI-70zwRwIIsOyb_uwoG1QTwDbFen2GHhznOJwpjf9WcJqtYy0xT_0NW6zA6PMYZ38_DQWbRVzF5TE1RXmAxB-yy1Ah2xEtESnd6ywZvJk_jhmt9iZMp4yOz-GILkdqvxQYIeA9jKpLfJv5FWE_iWsbIeaPzLXjZIwNzfjt8eXHK1Vk41EVRiK4lybgA6sFBBc83keVlRUG8iCOAFgecmWnFbZr73W-iJAoQimewv7mI5L0rU8fowTOVpgTwmmh4ProSJTHyR6B0NPm3iASfEPVCyjfPqOQcOdJlVg5nP2ACSuke7hz1_L4eRjrCCjIVxlQDaihNDTkgY91rJIBJJ2xPLQ11r24_IVQPFVLXrEqyujkTniZMyCB5C82EqW2OGpKMB9DlpaK7ZxLRltviQ95lvdg8t70t5r_9r5dyTFp80cmlwx-tM8WwA8VWfu3MuUORxCqjj6QYPkC94iUcTKL535q0woo-pvMbJwbk2m3jOx8HyDShPIEi9jTZAlqLofLx_JJEKRc8rSu-TigZyLiLg6AF-n_NHSxOfAdLg_a9Ul2rS89cKhCx8J-R6G9JjvokIbZ2EYsf0OIRL89G35-iwU22jNsT4vT3mFxLfH3Zc17ETqBv0lyVatezAwf19_nat_QN4gRZwwRvIYEZ8KGF5TwJ_PBkjqe7SpaaNOw1vkc7hFTtBX9AvPiGYKCx8Vm2tzMuWhiXue1EapYRTwwbCv1E77Ut8FmGGk0_1Z6-tiZ3owhuj2mHQ\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering analysis needs**\\n\\nI’m thinking I need to improve my analysis, particularly by identifying any low-quality drops that are obvious. It might help to have more lines, maybe a look at different profiles, projects, or tasks. I could create a report file to organize my findings. Plus, I should inspect the profile titles to see if there’s anything that stands out or requires more attention. Let’s see how best to move forward with that!\"}]}"},{"type":"toolCall","id":"call_RLQugXyhYiEA15TgrxxM5Yi6|fc_00bddaf16c51a121016a217259d4a48191ad91d11d5a001ee4","name":"bash","arguments":{"command":"python - <<'PY'\nimport json\nmems=json.load(open('/tmp/memory_dryrun_all.json'))\nfor typ in ['profile','project','task_hint','procedural','task']:\n    print('\\nTYPE',typ)\n    for m in sorted([x for x in mems if x['type']==typ], key=lambda x:x['title']):\n        print(f\"{m['id']}\\t{m['scope']}\\t{m['title']}\")\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5695,"output":166,"cacheRead":7680,"cacheWrite":0,"totalTokens":13541,"cost":{"input":0.014237500000000002,"output":0.00249,"cacheRead":0.0019199999999999998,"cacheWrite":0,"total":0.018647500000000004}},"stopReason":"toolUse","timestamp":1780576854161,"responseId":"resp_00bddaf16c51a121016a2172566adc81919f78acd64bd8b381"}}
{"type":"message","id":"6dc50846","parentId":"79f17663","timestamp":"2026-06-04T12:40:58.270Z","message":{"role":"toolResult","toolCallId":"call_RLQugXyhYiEA15TgrxxM5Yi6|fc_00bddaf16c51a121016a217259d4a48191ad91d11d5a001ee4","toolName":"bash","content":[{"type":"text","text":"\nTYPE profile\nmem_ballbox_company_overview\tglobal\tBallbox company overview\nmem_ballbox_market_focus\tproject\tBallbox initial market focus\nmem_ballbox_operating_principle\tproject\tBallbox operating principle\nmem_ballbox_alias_volvox\tproject\tBallbox speech-to-text alias: Volvox\nmem_ballbox_team_roles\tglobal\tBallbox team and roles\nmem_c31126352498447c8cb92069cb167397\tglobal\tDurable operational preferences live in agents-database\nmem_69278f6716654a3c8fc5db37f97d2a6c\tglobal\tFollow-up instructions go to todo first\nmem_humand_negotiation_lesson\tproject\tHumand promotion negotiation lesson\nmem_57f96c24431c4d38b5123f37e66bdae8\tglobal\tLaptop access should avoid web auth\nmem_ce0fd7c72bfd4127b4d5ae206b42da09\tglobal\tNo approval needed for laptop-tailnet access\nmem_cdac83f3c3004eaca99546346d0c90d0\tglobal\tResolve ambiguous spoken project names via agents-database first\nmem_cba4a83f17824b16ac1d2d1949e72c48\tglobal\tResolve ambiguous terms via agents-database first\nmem_07bec891ac99453388c2570402bbd256\tglobal\tSebas anime taste and watch state\nmem_sebas_apartment_interior_design_goal\tglobal\tSebas apartment interior design goal\nmem_sebas_bias_technical_overfocus\tglobal\tSebas bias: can get lost in the technical\nmem_sebas_big_decisions_heart_led\tglobal\tSebas big decisions often go best when heart-led\nmem_sebas_closing_block_external_judgment\tglobal\tSebas closing block: external judgment\nmem_sebas_current_priorities\tglobal\tSebas current priorities\nmem_sebas_definition_wasted_life\tglobal\tSebas definition of a wasted life\nmem_sebas_definition_finish_well\tglobal\tSebas definition of finishing well\nmem_sebas_definition_of_leverage\tglobal\tSebas definition of leverage\nmem_sebas_desired_agent_role\tglobal\tSebas desired agent role\nmem_sebas_money_relationship\tglobal\tSebas desired relationship with money\nmem_sebas_dislikes_premature_action\tglobal\tSebas dislikes premature action without intent clarity\nmem_sebas_energy_pattern_time_alone\tglobal\tSebas energy pattern: challenge drains, solo time restores\nmem_sebas_evidence_preference_public_consensus\tglobal\tSebas evidence preference favors public-source aggregation\nmem_sebas_feedback_signal_explicit\tglobal\tSebas gives explicit feedback signals\nmem_sebas_discipline_closing_is_hardest\tglobal\tSebas hardest discipline phase is closing\nmem_sebas_custom_ai_solutions_income_idea\tglobal\tSebas idea: custom AI solutions as alternative income\nmem_sebas_life_philosophy_shared_love_challenge\tglobal\tSebas life philosophy: love and high-level challenges\nmem_sebas_optimizes_correctness_leverage\tglobal\tSebas optimizes for correctness and leverage\nmem_sebas_pattern_starts_without_finishing\tglobal\tSebas pattern: starts things and may not finish them\nmem_sebas_agent_style_challenging\tglobal\tSebas prefers challenging agents\nmem_sebas_socioeconomic_baseline\tglobal\tSebas socioeconomic baseline\nmem_sebas_work_philosophy\tglobal\tSebas work philosophy\nmem_c24eb94053944d0d8847c565a2a6f65a\tglobal\tUser priorities for agent improvement\nmem_bb53229e06914ac4a5aa51fee72455b3\tglobal\tUser priorities for agent improvement corrected\nmem_c8d11a9d510d4a159a80cf183f2583b4\tglobal\tUser spoke briefly in Spanish in this session\nmem_be2fa9c2360848c9afbeec1b006e8a54\tglobal\tUser wants minimal repetition\n\nTYPE project\nmem_d8269f8eb0104dc3961fd2fb9762a0f0\tproject\tAgents-database memory service auto-promotes ingested memories\nmem_ballbox_stage_and_goal\tproject\tBallbox current stage and immediate goal\nmem_ballbox_feels_unreal_early_validation\tproject\tBallbox still feels unreal during early validation\nmem_d33f08e0d2f1468fbb47a61f10c8cfb9\tglobal\tFallback should rotate through models until first HTTP 200\nmem_humand_career_goal_after_senior\tproject\tHumand near-term career goal after senior promotion\nmem_cda20c374a614e6ca531f9e9e121c5bd\tglobal\tLaptop helpers use dedicated SSH key on port 2222\nmem_5be93517d726499fbdf0f614da57ef6e\tproject\tMemory layer RFC approved; hierarchical promotion is the key design\nmem_35031f7d2ae64415805676b6597362d2\tglobal\tMemory service promotes all ingested items; inbox not used much\nmem_d5e70dce68174497a33371458d9c67b9\tglobal\tMemory validation blocked by OpenAI auth failure\nmem_68d91c0d9b6244f384fac0abfff678e7\tproject\tMercado Pago split payments need club revenue share option\nmem_931b6b5353fd4e86b454333eeb2928ef\tproject\tOPS-1 closes payment-provider confidence, not full machine integration\nmem_8c5c0ef5a6e3412289c6fbe2210108b1\tproject\tOurVend real-ui migration finished with ads blocked hidden\nmem_08b4efed55144d78af56bdd15821b61d\tproject\tRoot disk nearly full; /mnt/rpi has room and safe caches were moved there\nmem_dcaa730515ae48b39eda5dcc5e38edd0\tglobal\tRoot partition nearly full during Linux update\nmem_4c13c21c3c514b669055da643e90049a\tglobal\tSSH server idle timeout disabled\nmem_ballbox_personal_motivation_first_business\tproject\tSebas personal motivation in Ballbox\nmem_812ea22ea06d4368bdb66fe531e64fdc\tglobal\tServer SSH idle timeout raised to 4h\nmem_a943e01322a0428388b1e50cc4d619e1\tglobal\tTelegram /new rotates the Pi Telegram session\nmem_75e46401481a40bdbda587e3dcc823ba\tproject\tThree-tier confidence model for vending rollout\nmem_c6371cbb4e92425ca123bbc8b1f304f3\tglobal\tUse /mnt/rpi for large user caches when root is tight\nmem_b9dfde5e35a84944b86841b537be2b4c\tglobal\tVibes service needs provider env\nmem_93c0669e3d064fc29b8142d201f923af\tglobal\tballbox-first no longer depends on /mnt/rpi for home symlinks and core services\nmem_b2016fa04f8546389dc9caaa231b8268\tglobal\tballbox-first work tree lives under home/work\nmem_58309c3e69e444d7b15c377d18b6b960\tproject\tgastos-europa stores raw receipts and published allocator app\nmem_6d77b1a0123f491489990043b55e9962\tglobal\tpi CLI lives in ~/.npm-global but npm global prefix points to zed pi-acp\nmem_f7f168513be944169a0a7790b25293f0\tproject\tpi-tau-mux stale ctx crash on session replacement\nmem_8008ca82485848cd9f5492c09c236fa4\tproject\trss-offline saves full local blog pages with mirrored assets\n\nTYPE task_hint\nlegacy_task_79\tglobal\tLegacy task: Automatizar y documentar el arranque del sistema Raycast/Codex (reply + approval\nlegacy_task_34\tglobal\tLegacy task: Build a first supplier shortlist for Ballbox display deployment in covered padel\nlegacy_task_69\tglobal\tLegacy task: Build a production-readiness plan for ballbox-payment-integration grounded in th\nlegacy_task_12\tglobal\tLegacy task: Build a shortlist\nlegacy_task_6\tglobal\tLegacy task: Capture exact Android machine launcher payload and constraints from the Chinese \nlegacy_task_59\tglobal\tLegacy task: Capture or emulate the real Android launcher payload and browser constraints fro\nlegacy_task_24\tglobal\tLegacy task: Capture or emulate the real Android launcher query payload from the machine envi\nlegacy_task_36\tglobal\tLegacy task: Check Android/browser/fullscreen or kiosk-app path for each candidate\nlegacy_task_14\tglobal\tLegacy task: Check fullscreen browser path\nlegacy_task_71\tglobal\tLegacy task: Close security and configuration gaps: define production env vars, secret handli\nlegacy_task_35\tglobal\tLegacy task: Collect 5 candidate 50+ inch displays suitable for covered clubs\nlegacy_task_37\tglobal\tLegacy task: Compare brightness, connectivity, and likely installation fit for covered venues\nlegacy_task_15\tglobal\tLegacy task: Compare costs\nlegacy_task_5\tglobal\tLegacy task: Confirm target flow against current repo: machine launcher -> /pay page -> QR ->\nlegacy_task_48\tglobal\tLegacy task: Construir un prototipo funcional del input/overlay para uso personal\nlegacy_task_52\tglobal\tLegacy task: Current state confirmed: mock demo flow works end-to-end\nlegacy_task_4\tglobal\tLegacy task: Decide whether Ballbox needs outdoor sunlight-readable display or cheaper indoor\nlegacy_task_50\tglobal\tLegacy task: Decidir siguiente paso: endurecer producto, automatizar envío a Codex o descarta\nlegacy_task_62\tglobal\tLegacy task: Define a production test plan covering local, sandbox, machine-side, and go-live\nlegacy_task_74\tglobal\tLegacy task: Define deployment and observability: container/runtime config, structured logs i\nlegacy_task_46\tglobal\tLegacy task: Definir UX mínima: trigger, foco, transparencia, auto-hide y comportamiento al e\nlegacy_task_44\tglobal\tLegacy task: Diseñar y validar un sistema de respuesta mínima sobre películas fullscreen para\nlegacy_task_58\tglobal\tLegacy task: Document all gaps between the current mock demo and a production vending-machine\nlegacy_task_38\tglobal\tLegacy task: Draft supplier questions about boot behavior, remote management, and network sta\nlegacy_task_47\tglobal\tLegacy task: Evaluar arquitectura: app nativa, helper menubar, panel flotante o integración c\nlegacy_task_78\tglobal\tLegacy task: Evaluar mejora UX: después de responder desde Raycast, disparar Alt-Tab para vol\nlegacy_task_73\tglobal\tLegacy task: Expand verification: add integration tests for webhook-to-dispense flows, idempo\nlegacy_task_13\tglobal\tLegacy task: Find 3 indoor candidates\nlegacy_task_18\tglobal\tLegacy task: Goal is first a convincing demo to the user, not immediate production hardening\nlegacy_task_72\tglobal\tLegacy task: Harden runtime and data operations: decide migration strategy outside app boot, \nlegacy_task_25\tglobal\tLegacy task: Identify all gaps between the current mock bridge and the desired demo flow\nlegacy_task_26\tglobal\tLegacy task: Implement the highest-value demo improvements in priority order\nlegacy_task_45\tglobal\tLegacy task: Investigar restricciones y capacidades de macOS para mostrar input/overlay sobre\nlegacy_task_68\tglobal\tLegacy task: Key local sources reviewed: README.md, PLAN.md, src/config.ts, src/index.ts, src\nlegacy_task_67\tglobal\tLegacy task: Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.\nlegacy_task_70\tglobal\tLegacy task: Lock external contracts: validate MercadoPago QR Dynamic endpoints, webhook sign\nlegacy_task_56\tglobal\tLegacy task: Mini gap assessment: production still depends on real Android launcher payload, \nlegacy_task_19\tglobal\tLegacy task: Mini repo review: current repo already implements /pay, QR page, webhook handlin\nlegacy_task_20\tglobal\tLegacy task: Mini repo review: current repo is directionally aligned but still lacks real TCN\nlegacy_task_21\tglobal\tLegacy task: Mini repo review: likely next blocker for demo realism is capturing the real lau\nlegacy_task_54\tglobal\tLegacy task: Mini repo review: the bridge already supports /pay, session polling, webhooks, a\nlegacy_task_31\tglobal\tLegacy task: Mini research: Alibaba and Made-in-China already show multiple 55-inch Android/c\nlegacy_task_33\tglobal\tLegacy task: Mini research: browser/fullscreen support is plausible but still needs supplier-\nlegacy_task_11\tglobal\tLegacy task: Mini research: covered-club displays can use indoor commercial signage if bright\nlegacy_task_32\tglobal\tLegacy task: Mini research: for covered clubs, indoor commercial signage may be acceptable an\nlegacy_task_55\tglobal\tLegacy task: Mini validation: local Docker demo now reaches dispense_sent without manual curl\nlegacy_task_29\tglobal\tLegacy task: Minimum desired size: 50 inches or larger\nlegacy_task_65\tglobal\tLegacy task: No external production environment, MercadoPago account setup, or TCN/Yunshu cal\nlegacy_task_64\tglobal\tLegacy task: No extra scope constraints were provided in-thread, so the plan assumes a full f\nlegacy_task_66\tglobal\tLegacy task: No online research used; assessment based on local repo inspection and local ver\nlegacy_task_42\tglobal\tLegacy task: No se hizo research web todavía; pendiente relevar restricciones de macOS para o\nlegacy_task_53\tglobal\tLegacy task: Objective now is production path analysis, not immediate implementation of all p\nlegacy_task_61\tglobal\tLegacy task: Obtain and implement the real TCN/Yunshu dispense callback contract\nlegacy_task_43\tglobal\tLegacy task: Pendiente comparar enfoques: app nativa macOS, panel flotante, menubar helper, H\nlegacy_task_83\tglobal\tLegacy task: Possible committers for repository under investigation: Agustina Ini, Mariano Go\nlegacy_task_22\tglobal\tLegacy task: Prepare ballbox-payment-integration for a demoable machine payment flow\nlegacy_task_7\tglobal\tLegacy task: Prepare demo checklist: local dev flow, mock approved payment, production-like Q\nlegacy_task_3\tglobal\tLegacy task: Prepare supplier question list: browser fullscreen, remote management, autoplay \nlegacy_task_49\tglobal\tLegacy task: Probar el prototipo mientras se reproduce video en fullscreen y registrar límite\nlegacy_task_27\tglobal\tLegacy task: Produce a demo checklist with required environment, steps, and evidence to show \nlegacy_task_57\tglobal\tLegacy task: Produce a production-readiness plan for ballbox-payment-integration\nlegacy_task_39\tglobal\tLegacy task: Recommend whether to start with indoor commercial signage or semi-outdoor signag\nlegacy_task_8\tglobal\tLegacy task: Replace mocked TCN/Yunshu dispense callback with real contract once docs or real\nlegacy_task_51\tglobal\tLegacy task: Repo target confirmed: ballbox-payment-integration\nlegacy_task_77\tglobal\tLegacy task: Resolver rebotes del watcher de approvals de Raycast/Codex y evitar prompts dupl\nlegacy_task_80\tglobal\tLegacy task: Review public references for Trading-Mastery GitHub org and summarize confirmed \nlegacy_task_75\tglobal\tLegacy task: Run pre-prod certification: sandbox E2E with MercadoPago and a real or faithfull\nlegacy_task_2\tglobal\tLegacy task: Shortlist 5 display SKUs split by indoor vs direct-sunlight use case with size, \nlegacy_task_63\tglobal\tLegacy task: Si Sebas prioriza simplicidad, probar primero BetterTouchTool con floating menu \nlegacy_task_81\tglobal\tLegacy task: Track public Humand affiliation evidence for repo-commit names without storing u\nlegacy_task_82\tglobal\tLegacy task: Treat the named individuals as publicly announced Humand employees per user-prov\nlegacy_task_76\tglobal\tLegacy task: Turn the persisted production-readiness plan into an execution sequence with own\nlegacy_task_30\tglobal\tLegacy task: Use case: advertising playback pointing to Ballbox web page in fullscreen browse\nlegacy_task_10\tglobal\tLegacy task: User clarified: covered clubs first\nlegacy_task_17\tglobal\tLegacy task: User clarified: final target is the Android app flow integrated in the Chinese v\nlegacy_task_28\tglobal\tLegacy task: User clarified: prioritize covered padel clubs first, not direct-sunlight courts\nlegacy_task_16\tglobal\tLegacy task: User clarified: the correct repo is ballbox-payment-integration\nlegacy_task_41\tglobal\tLegacy task: Usuario aclaró: el comportamiento deseado es un input poco intrusivo, transparen\nlegacy_task_40\tglobal\tLegacy task: Usuario aclaró: quiere las dos cosas, construir una solución concreta y además i\nlegacy_task_60\tglobal\tLegacy task: Validate MercadoPago production QR flow, webhook signature verification, and acc\nlegacy_task_9\tglobal\tLegacy task: Validate MercadoPago real QR dynamic flow, webhook signature verification, and t\nlegacy_task_23\tglobal\tLegacy task: Verify current repo flow end-to-end in mock mode and document exact behavior\nlegacy_task_1\tglobal\tLegacy task: Verify whether shortlisted suppliers expose Android browser/fullscreen or altern\n\nTYPE procedural\nmem_46bcc3518d504dc1ac0312c83390f8cb\tglobal\tMemory analysis should inspect database counts by source_ref/date and job outcomes\nmem_1f9ea7b9e3fb4eea903f28ed961ccbe2\tglobal\tSSH timeout changes should be validated and reloaded\nmem_3ff27df7bb94403c915ebcee665e338a\tglobal\tSafe /tmp cleanup policy\nmem_7bd9f85afc174694af2ab2653786ca8e\tproject\tSession-memory analysis should inspect job logs plus SQLite tables\n\nTYPE task\nmem_b3b2813ced47406babdc7c8f5b40ea36\tproject\tBallbox company handoff\nmem_d7d13d0c108b4bd9ac634e9be66cfd0d\tproject\tPersonal handoff: Ballbox necesita fix en repo de pagos y abrir branch para QR\nmem_70d2accc36c44e6caaf9eabe94b2240f\tproject\tPersonal handoff: Ballbox necesita fix en repo de pagos y abrir branch para QR\n"}],"isError":false,"timestamp":1780576858270}}
{"type":"message","id":"cb6ffc4b","parentId":"6dc50846","timestamp":"2026-06-04T12:41:05.345Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21725ae1d081918b4fbd2cecf24527\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJdq4KMSqU_eralgbk0-2CY4N8zh48pkUUrczxp2oR0YXtET_awlrDoOZevnAjnn5WJxNAURF_LnloWQzagKBM17YWbtp6Hzb6OKOFf84PG0NQ9aEqZFRCdonmLYT0-WX7PtLVK7EIcbdUpGeG0RpKXQevBoLKkNzTjp4VxbC3GResZY4zbDc1chfEtMT8I-lW_xqHN3uyyVuzo6znlJlOTJNetMkYi5Su-j4ieC7T9CrskuLIdcBX2ukAK5ksr-p3nFkteeONIoxtoIb1-ebYZmt7qcuUsP5Pgz-Q7Fx016RMgNGEKX4Bk4e7QAbQS4jebcjMvw0s0jmCm6blqtmkaaouDEHUa5N58WqL30okvU5YU-0TnFrSb6kBiiO7IBTirkETDf_Q6YrN7ozbHNMYzmwir9Dk6TQhNoYF126b-hX1HOuTSv2Lwqc82JPqmRRQkriOKXveqJ-Yk8SwUx2-vUsm-xRPAarrjejQwmDYEwbEuytuO4CIyYs9zVuNXEF1zbFzCQWpgezs85IvhUyYB1VFNPsx5yXI37J5MnfacKlHW0Zu9Tz_YiWVdnbXVER2-FjY-3dsG9u1PNk74mOSD77EmniCX4WbgWGQ_QlEYjzDzQnV7x5P-Nkmwf5kIDUfBzvrbjtO6rdT8UXvf4FDJlA1-qYyDUNARz5XH0PcciXMU-LSEW3tfldbqZwwqELhTs1Dos-VwlLHWULVXlTJs3R092fabCa2tYmEl8Dx2tiGNq4dwKzs6BgRqjfkIMSszNEfH8NxuXW51wRRJIuitPupzDCuOjfIasc8XXtzQrK5vYUBMX96eOBkJy8vL0lJGSJ0LK2z73lHbO4XAgGsN04gnIl3f_NWJ4U9pLKYDqjcIxSKHgbFN8UhFCcFFDtSnvsLzT-MA3vnj1UOd1rYGNuRwHrEZEvgvZ6Ffo2VrQsJXMKBuFLBuJ0Tsu59i3K4yCYXrAkaQDFuSPwQGA3UV_M6KIQeKpbzHtD2CliKw8LymViMco7hNNVfGGzkKush_nb0LrPLsVoa-IbRrXlfW7A6nZEE71UIfs5LsrBFouiOY26Vhh2leJoF0Zswxmtz-IIYC6Oyc8w9gyJqf0usvoUPDsaso38yAzBDfePxOipMOCUT6LviPkNrpw6171u0P-EPtUtiC9B1ekX6ZqS9vzBfvDLL9Op_PO9Mew9pv36nEMNCBFFWz3Mo0kJHPXSU4cCfbssdmLiQKrcG6pgUPdWYRgxACCnBiO_tA7zxX1srqZ9glXuBLBBvbSnw71X9AEbGZjZyeb5H6G3BYikmnDN1EuDD5jcbi-j9K--XqgXk8iu-LPv1S_cWn0ZMscdEVA7Gfz5n9iO2s5b5rIfjkToZyiXziW6-SuDg0YyEZHw_4hySSBytmHkBFrajdloIG1a3B8-WUbQvtijACPaYJS9WTSFuMBPwiZOX_dLfMXbHZ-WCQMgJ5mXl2h7XlRjYRDeMYCXf4vBmtOQw4LoPsR0V1X2EPc_hPWQBr72rDyMx2qVypXNJsKhK4QbC0e1MpHsQfMsTWP65t0NEdfMEATyaB5zpVwPxPeK5lJ8C-Ek1SV680jBBPn8U1dXqK48Jp8qTEElmn2lHfcqSBrnrM2AEZvvnK90X5h9U6KYJ3tN2cWpdcctEi9OqJPTAswykLtT59R1CzhXcLVe2sANJWoBUzINt8BryKlzXwf0FI4wsVFeqJ0M2gfFsHeYP4RDrSuZIbra08xftQjgjzbo9xCaMfO5-womuR7XCLtH0aDsGQJYqZK-gGsq2M3oC4nnNF1DgGRpzJYChyMrzKJP-sxd8M0dA1M0BMzg28VILvnmOB0O5df8iWdKmPbgi5B6uV\",\"summary\":[]}"},{"type":"toolCall","id":"call_RoCw8CKIGJzon7ntGhKDczPm|fc_00bddaf16c51a121016a21725dd9848191908a46ffacc15303","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, collections, re\nmems=json.load(open('/tmp/memory_dryrun_all.json'))\nclasses=collections.Counter()\nfor m in mems:\n    id=m['id']\n    if id.startswith('legacy_task_'): classes['legacy_task']+=1\n    elif id.startswith('legacy_run_'): classes['legacy_run']+=1\n    elif id.startswith('legacy_source_'): classes['legacy_source']+=1\n    elif id.startswith('legacy_claim_'): classes['legacy_claim']+=1\n    elif m['title'].startswith('sebas:'): classes['raw_episode']+=1\n    else: classes['normal']+=1\nprint(classes)\nPY"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":4669,"output":307,"cacheRead":12800,"cacheWrite":0,"totalTokens":17776,"cost":{"input":0.0116725,"output":0.004605,"cacheRead":0.0031999999999999997,"cacheWrite":0,"total":0.019477500000000002}},"stopReason":"toolUse","timestamp":1780576858271,"responseId":"resp_00bddaf16c51a121016a21725a5c7c81919fb9bcf90557d0fc"}}
{"type":"message","id":"379bfad3","parentId":"cb6ffc4b","timestamp":"2026-06-04T12:41:05.390Z","message":{"role":"toolResult","toolCallId":"call_RoCw8CKIGJzon7ntGhKDczPm|fc_00bddaf16c51a121016a21725dd9848191908a46ffacc15303","toolName":"bash","content":[{"type":"text","text":"Counter({'normal': 132, 'legacy_task': 83, 'raw_episode': 31, 'legacy_claim': 22, 'legacy_source': 22, 'legacy_run': 14})\n"}],"isError":false,"timestamp":1780576865390}}
{"type":"message","id":"0f14ad8d","parentId":"379bfad3","timestamp":"2026-06-04T12:41:08.936Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering episode titles**\n\nI think I need to take a closer look at the raw episode titles to find ones that could be recommended for dropping. There might be some that don’t quite resonate or fit the overall theme. It feels important to ensure my recommendations are well-informed and thoughtful. Let's explore this more deeply, examining the titles to identify any potential candidates for removal that may not be serving their purpose effectively.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21726208c8819180563926e31908ee\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJjZmHeg-l8Dp5cnrDRE83uQoIaVR0SgL6NuXPIYuiHwq7Bt_e2WfOPc-SegclOUMD-x-tFg0uUY0NS32JEp9x3OA5XIeWca5ZFhbaYsgPTkKnPI4AzfgToU51AAybwFtaDsdD4STfb6HSyoVhHtUuda6XxSc106sDaytMWlY1dG2SVzJSZuhJUdUen1N3xjHX9FIvHsVhhqthlktB6ssu7GSqX2zOaC0UcLFBvwNGpkEMIXVSMc6402I_XHrqN1ilQZUIfdoxsqAhS12Ep8-9bjYcjiRaFXl1kzblcdrFWt14V9ehw0RNWdZB6btIIflwVdHw_dHZZxBvQ_m3VF3lT4wy3kDHcJVLypGk6CO7nUUrnMbMiKCq-4g268p88_uoB4GBEj44gLk4ztehau3-Hai48mXuRM6b_MBQUhFxytUr2doedVQhZRoqNId08RFaO-Aop8Sfzvn3EH27VWlfkG1qSFBx3l3db2mVRkcjqO2w3PO3bqPUSpqKuIx2vDoCizp3PKI9PDtDBfVM-YHflq-7765OhcEcjiPbSuPTzOgsCdI14SuRwMDs-eXGqBle9CBgdi6iX4Qpz3Jd2qY8Jbf-XXgraQs3LBxcVyKL0kQYQThxOtlhD8SmoX2tO7e9Jia_6sC4fNLIWqhOH4NZ1P3LG9teCdOjYs8WU8HcsAux9OBy6ld4KnKrJh-tvIjjZHcjnOJZq0LeWdyo2JWhVc2u5301GMOhgJWieduBa9bdg2zSUZivENU0DC84P2jM1zGFhAq2lQuTNgB_hu6w6swHx7ZoQpQrZrF84Mxf8JzWNdI51HyXPbLOVqi7Y7g9q5P-d40g4f0ncZSo3ByugZzf-9pbqzPrgURIUIkLYVYwQFzxsKLpg9g6rZ6JP-EBtEuhaWpKb_y9L4_Ys5XbU8BqyouzB4w3DNk1ggj4sSic4lPrt5acBuPPkUYdbpKM9Sz0Rw1M-y4ZmIuKpiJyC3xvaKWDO09jklmTWnAvJUUY=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering episode titles**\\n\\nI think I need to take a closer look at the raw episode titles to find ones that could be recommended for dropping. There might be some that don’t quite resonate or fit the overall theme. It feels important to ensure my recommendations are well-informed and thoughtful. Let's explore this more deeply, examining the titles to identify any potential candidates for removal that may not be serving their purpose effectively.\"}]}"},{"type":"toolCall","id":"call_Auoh45yITG0oo1no0QePApet|fc_00bddaf16c51a121016a217263fea081919ca7628d8aee1ce7","name":"bash","arguments":{"command":"python - <<'PY'\nimport json\nmems=json.load(open('/tmp/memory_dryrun_all.json'))\nfor m in mems:\n    if m['title'].startswith('sebas:') or m['title'].startswith('Research run:') or m['title'].startswith('Legacy task:'):\n        continue\nfor m in sorted([x for x in mems if x['title'].startswith('sebas:')], key=lambda x:x['updated_at'] or ''):\n    print(m['id'], '\\t', m['title'])\nPY"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":933,"output":157,"cacheRead":16896,"cacheWrite":0,"totalTokens":17986,"cost":{"input":0.0023325000000000004,"output":0.002355,"cacheRead":0.0042239999999999995,"cacheWrite":0,"total":0.0089115}},"stopReason":"toolUse","timestamp":1780576865391,"responseId":"resp_00bddaf16c51a121016a21726179f081918e63215194621dde"}}
{"type":"message","id":"f42507b0","parentId":"0f14ad8d","timestamp":"2026-06-04T12:41:09.000Z","message":{"role":"toolResult","toolCallId":"call_Auoh45yITG0oo1no0QePApet|fc_00bddaf16c51a121016a217263fea081919ca7628d8aee1ce7","toolName":"bash","content":[{"type":"text","text":"mem_6831b78c9c964e3fb9db0c43afa2dfec \t sebas: Actualiza el agent dorandí que diga evitar a toda costa repetirse. Esto…\nmem_282e57f1ffe6455e82fbe4d184445f2c \t sebas: [telegram] alo\nmem_de64feafc920451eaa0c25ee1666f4af \t sebas: [telegram] start backlog tasks in parallel. ask them to run as much as…\nmem_5764c637222e487cafc71928884bc1d5 \t sebas: [telegram] Dame el link Arrival Guide que había creado para cuando lleg…\nmem_af7ad5e49a1b4f4e92064fcfe9028efa \t sebas: [telegram] guarda en raw mis gastos europa (imagenes + texto extraido)…\nmem_c765760853224345940d788c503b32d7 \t sebas: [telegram] saca el proyecto freshrss (codigo, docs, links, todo) y para…\nmem_a1f632320762487c8864dd45f2cbf394 \t sebas: [telegram] hazme en inglés, un texto explicando con flechas, el flujo m…\nmem_90803c7909964e3a8c5ab856ae631d02 \t sebas: [telegram] te fijas por qué no están dando el Wi-Fi tracker?\nmem_a4fe0023db78488788bbd8d9dc62e937 \t sebas: [telegram] antes en el backlog encaramos, tareas para accesibilidad en…\nmem_c657e5149cf440e9a87470e1f794a96e \t sebas: [telegram] backlog actual?\nmem_17cc09268a3e43b5a381217ea7b28398 \t sebas: [telegram] que tareas hay?\nmem_c1cd76a28d434774ad10b1507577bab3 \t sebas: [telegram] necesito para ballbox un entregable en pdf profesional para…\nmem_8e4e732436404c64968fa03777dc5bbb \t sebas: [telegram] pudiste?\nmem_1c55c0a938eb4845a971aa25424c2c07 \t sebas: [telegram] agrega al proyecto de vending status, el próximo paso que se…\nmem_d5b42c3f1f89464d8f765f141cf0c295 \t sebas: [telegram] if i gave you a free session to propose all the improvements…\nmem_cb222aaef79b42b18598ae968aa3899d \t sebas: [telegram] ya me lei todo el pdf de rss, me armas otro con lo que haya…\nmem_9403ad4bf1c5435391d69c3c4d133ac7 \t sebas: [telegram] hay en /home/sebas/work/projects/ballbox/docs/tcn-maquinas-r…\nmem_3bca1201a684427e87bca9e7cc806afc \t sebas: [telegram] how do we set up a deepseek api key to pi?\nmem_edf34d5e3b9a4dbe9276d288255bade7 \t sebas: [telegram] resume ftp investigation for ballbox. Since we need a passwo…\nmem_165ae24535224d79b9e0370d64c1e7b4 \t sebas: [telegram] el zip que paso son los archivos en una máquina expendedora.…\nmem_1e0572197f9048ba9f99f84fbd0a0592 \t sebas: [telegram] te llegaron?\nmem_d45915de1d704362a10b78a4beb0a0b9 \t sebas: [telegram] dale hacelo\nmem_a238b1334bbf4bba900d3d91b83f5174 \t sebas: hay una sesion de tmux abierta?\nmem_0ffba9b736bf4c0aae1d3696fb36c65e \t sebas: [telegram] hay una sesion de tmux abierta?\nmem_f69a512f8b034dba821f31efc6b046db \t sebas: [telegram] busca una conversación de una sesión de pi de hoy, en donde…\nmem_4814b92ec95a4376a9927668421d8503 \t sebas: [telegram] te fijas que los links a pdfs en https://ballbox-first.emper…\nmem_15c297bc9c334fed8e31075b26130378 \t sebas: [telegram] loved this repo’s idea https://github.com/workos/case and it…\nmem_d356ae644c4f4f90982d6024a49085c0 \t sebas: [telegram] limpia la carparta de dropzone que te voy a pasar nuevos\nmem_31a3021ad8f349e19bc839199ae6697d \t sebas: [telegram] te animas a reproducir este logo a la perfeccion pero vector…\nmem_c8667f8f64f747c7a7cc1407da9ff8bb \t sebas: [telegram] en el pdf diario de rss podriamos agregar el titulo del feed…\nmem_1bd596d2f0854d058b37e0a75d74587c \t sebas: [telegram] hace poco hicimos en un repo modificacion de zips para hacer…\n"}],"isError":false,"timestamp":1780576869000}}
{"type":"message","id":"d15c54b6","parentId":"f42507b0","timestamp":"2026-06-04T12:41:17.041Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Classifying topics for review**\n\nI’m thinking about classifying by topic since the dry run seems to show clear buckets. It might be useful to produce counts for categories like keep, merge, rewrite, drop, and needs human input. I should probably include actual examples too. I wonder if I could programmatically identify duplicates based on title similarity, though it sounds like it might require some manual effort. I should inspect the contents to find good merge candidates!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a217265a55081919c0101e4c5e47e70\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJoJ1AjS1E4aOcTtYlmr99chRbYYoNVUxJdod2LqiPL609dbY96rYv-z2s5TREcO1b39D2XyZMwXUAS-fmgiKFEI3yo8zzEgj4019Q8jBzxq9E2DOSPICBFsgZwIhVd5a8aIvpLFZCgq9ndM6a1zz7-th3jFdm9EHKG-DqkWVuFN_rNG_hqLQbH_zZE4GAqm3r_QYAiOMtojC5aThyZQgen-A-dVMlXLNP3TYJ8HuZq6QzmYtxBPx23I7_a2XIuChb8odj8h3Xcso009gLdTcd96mWvIoISO6wxrYpwtOm1FAGKuZBx9RwSvt99mOXtiB7LhnHohSws1rP62EaHbu3LdiSyb8oawVtOF-0a5F1N7y3ifQ8znq8X25JsaI5CM8kzgq9Cuy0MK7lsmydr9xlo4DDVaza4FI68hBoQAqAsgKeHRxxLIptJl5IZ3QGI713K6Z4LIWyvI7VV2F4XlRUjRCzJI_VsAzkourV9eaABISogH7ZafohI78qN05KoMssX8HtCKiTXItKM8hDfnkczhQ37MaMRdTR8d7tTpK35lGDiLhwpgVJhjJUmpTV78HLfR1vlpzXs715lzauAJFF4i6NWvKCRfNJGzl6HjRcd6DoJNpPaMH5xo40SlRC9lS5E4F74I2Qxb5dX1ut-y2llXDmWauwxAXelddYHjhmmWQhVSK3wHfbzXbjvmBv3452pHihsNYc9V3bwy4MnMIHrL3liauFsyhPhuHNwrwEDFQSPF8h3aSln_tYZJYJxTlvJGhqLWv59NLRqWTE58CCfGYBWXsPXA3zVld7bTJTVgN6a3uDbXEbEzim_1heVhBO3p8-eejzO-xINYYVo8TsthTBRYg1EKk2bZ0PWs2i2azT8LdU0_ZROIcW-gK4GWPNnVUhZsZqZdaTr7RLwX5Hvyi5QRcLQi3MH3APtEhTF7gVScOhdtKfb1i0i46HvIDT384j-d4Qfeu5l5LzsBZOOIt_zQppLX_fLFRG1eXonAa-6yqz1zNxmeIwukr0lIOWFyimFtepblLzgAI_aU9lKzYnKX3HYP3f0vUkTsoFY_kuo-q3T5B9kfHX7cNDKCuXflD_gfEgk3CL2KJ8kpmzBSRXIbqjpRSSiG8X0ZS0c7vyBq4tSLLU3MfV4kKJMApG8xaC4J34ji4vzOsLgshRcUhHuFlrDKWMQaeGX-TShzt4D8amLrukZa_LeAExBbVKdk0tUzPnFAzZ9rn80HJm_karGMeHfhD5VUQ9bY4MbPtWC1Z_IOehSD93dO035D0A6QBFUujnNMipNVt_rs8kj9DZDCOV3DDikLSjdrzhEBgE32NZmp5JJZ3rDmSi6B6Wi\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Classifying topics for review**\\n\\nI’m thinking about classifying by topic since the dry run seems to show clear buckets. It might be useful to produce counts for categories like keep, merge, rewrite, drop, and needs human input. I should probably include actual examples too. I wonder if I could programmatically identify duplicates based on title similarity, though it sounds like it might require some manual effort. I should inspect the contents to find good merge candidates!\"}]}"},{"type":"toolCall","id":"call_gBJSmG6j9tp0DmeXtxEKRz8n|fc_00bddaf16c51a121016a2172688fb08191a4e9a2d39f742410","name":"bash","arguments":{"command":"python - <<'PY'\nimport json\nids=['mem_c24eb94053944d0d8847c565a2a6f65a','mem_bb53229e06914ac4a5aa51fee72455b3','mem_cba4a83f17824b16ac1d2d1949e72c48','mem_cdac83f3c3004eaca99546346d0c90d0','mem_57f96c24431c4d38b5123f37e66bdae8','mem_ce0fd7c72bfd4127b4d5ae206b42da09','mem_812ea22ea06d4368bdb66fe531e64fdc','mem_4c13c21c3c514b669055da643e90049a','mem_c8c7e1c8af7d4665aafe58baca242345','mem_dcaa730515ae48b39eda5dcc5e38edd0','mem_08b4efed55144d78af56bdd15821b61d']\nmems={m['id']:m for m in json.load(open('/tmp/memory_dryrun_all.json'))}\nfor i in ids:\n m=mems[i]\n print('\\nID',i,'\\nTITLE',m['title'],'\\nTYPE',m['type'],'\\nCONTENT',m['content'][:500])\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1803,"output":406,"cacheRead":17408,"cacheWrite":0,"totalTokens":19617,"cost":{"input":0.0045075,"output":0.00609,"cacheRead":0.004352,"cacheWrite":0,"total":0.0149495}},"stopReason":"toolUse","timestamp":1780576869001,"responseId":"resp_00bddaf16c51a121016a21726516988191ba3ec4b067aadbd2"}}
{"type":"message","id":"935e1124","parentId":"d15c54b6","timestamp":"2026-06-04T12:41:17.104Z","message":{"role":"toolResult","toolCallId":"call_gBJSmG6j9tp0DmeXtxEKRz8n|fc_00bddaf16c51a121016a2172688fb08191a4e9a2d39f742410","toolName":"bash","content":[{"type":"text","text":"\nID mem_c24eb94053944d0d8847c565a2a6f65a \nTITLE User priorities for agent improvement \nTYPE profile \nCONTENT Sebas prioritizes durable artifact creation, stronger product sense, faster repo adaptation, and tighter communication compression over parallelization. Parallel execution is low priority because time pressure is rare. Completeness/validation is the next target, with emphasis on pushing for clearer user intent before work starts.\n\nID mem_bb53229e06914ac4a5aa51fee72455b3 \nTITLE User priorities for agent improvement corrected \nTYPE profile \nCONTENT From the top improvement list, Sebas prioritizes: 12 better durable artifact creation, 15 better default product sense, 6 better autonomous validation, and 10 stronger communication compression. Parallelization is not a priority because time pressure is rare. Completeness is the next target, with stronger intent capture before work and more pressure from the agent to clarify done criteria early.\n\nID mem_cba4a83f17824b16ac1d2d1949e72c48 \nTITLE Resolve ambiguous terms via agents-database first \nTYPE profile \nCONTENT When Sebas uses any ambiguous term, remembered phrase, shorthand, nickname, or speech-to-text alias, agents must query ~/agents-database before guessing from local context, filesystem names, or recent conversation assumptions.\n\nID mem_cdac83f3c3004eaca99546346d0c90d0 \nTITLE Resolve ambiguous spoken project names via agents-database first \nTYPE profile \nCONTENT When Sebas uses an ambiguous spoken or remembered repo/project name, especially speech-to-text aliases like Volvox for Ballbox, agents must query ~/agents-database before guessing from local filesystem names or repo lists.\n\nID mem_57f96c24431c4d38b5123f37e66bdae8 \nTITLE Laptop access should avoid web auth \nTYPE profile \nCONTENT User wants laptop-* helpers and general laptop access over Tailnet to avoid interactive browser/web authentication prompts. Prefer non-interactive Tailscale SSH/SSH-based access when possible.\n\nID mem_ce0fd7c72bfd4127b4d5ae206b42da09 \nTITLE No approval needed for laptop-tailnet access \nTYPE profile \nCONTENT User allows use of laptop-* helpers and general Tailnet connectivity to the laptop without asking for approval just because access happens via web link or remote connection. Still require confirmation for irreversible/destructive actions.\n\nID mem_812ea22ea06d4368bdb66fe531e64fdc \nTITLE Server SSH idle timeout raised to 4h \nTYPE project \nCONTENT Set server-side OpenSSH keepalives on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. Restarted ssh and verified active values with sshd -T. This keeps idle SSH sessions alive longer for all clients connecting to this server, including laptop and phone.\n\nID mem_4c13c21c3c514b669055da643e90049a \nTITLE SSH server idle timeout disabled \nTYPE project \nCONTENT SSH sessions on this Pi are configured not to expire from server idle timeout by setting ClientAliveInterval to 0 in /etc/ssh/sshd_config.d/99-idle-4h.conf.\n\nID mem_c8c7e1c8af7d4665aafe58baca242345 \nTITLE Removed SSH session timeout at user request \nTYPE episode \nCONTENT User asked to remove SSH timeout so sessions do not expire; the change was applied successfully on the server and confirmed to stop idle disconnects.\n\nID mem_dcaa730515ae48b39eda5dcc5e38edd0 \nTITLE Root partition nearly full during Linux update \nTYPE project \nCONTENT The root filesystem backing ~ was 14G total, 13G used, 494M free, 97% full. /mnt/rpi was around 40% used. This was the blocker while updating Linux.\n\nID mem_08b4efed55144d78af56bdd15821b61d \nTITLE Root disk nearly full; /mnt/rpi has room and safe caches were moved there \nTYPE project \nCONTENT Root filesystem on ballbox-first was at 97% used with ~494M free. Safe large paths were moved off root to /mnt/rpi and symlinked back: ~/go, ~/.bun, ~/.zed_server, ~/venvs, ~/downloads, ~/.pnpm-store. Biggest wins were ~/go (721M), ~/.pnpm-store (668M), ~/.bun (142M). ~/.local/share/zed was left in place because active Zed-related processes were present.\n"}],"isError":false,"timestamp":1780576877104}}
{"type":"message","id":"343c6406","parentId":"935e1124","timestamp":"2026-06-04T12:41:24.597Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Identifying search limitations**\n\nI need to address a retrieval blind spot. The API search doesn’t have a canonical list, and I used a wide wildcard sweep. While I have a near-complete result at 304, I can’t guarantee it’s 100%. It’s crucial to note this limitation as it's important for understanding the reliability of the data. So, let’s make sure to create a concise summary that acknowledges this aspect.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21726dc9808191aba7c2d6ebbfc0e1\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXJ08JU0AoxnihMWCYtRrPvizGuz05AEc-4aMwdSxeJWETnpZSFWJuyw6Of_egIYyOTH-GrHo6chYASRawAk-CYLxiXyyfmXvFmbD0ls35VdrApe1aEjd_2rKcNoQ7swwaU4eUpFaGGDzrS3_iFS_JTwUqYbbXVi37fVZr9BYXyQr4Ndf4u6uzvWzBUkJVeTnviK22cm_SJ38LG_PlBb1ZrSQPsOWQBlcKfvcoPQw5hJMbuTHTo6_s2yY8jiWbeLBS5ii-7_39s5anqJ_97R_M1uKR1_AHzgkm3tW5sSV4pcAAQp9b7vFOAZi468-d9pCSr_QhiHy5ZhPjlJwMCmfBUK68UcaOZlNounQgK2ebQJ5pCPtx36kMBvaFXB41e2XudVkd5-QBj9niirdTNLuscBoE8iUMttyddyGLsxOERMfDjgW8CWvoz_JusWaGsqxtZat0hwkEaXD2C5zIiZFVF935D1fMc9PoHmKFsL3gfup8gp5rjaiYOodSmW7yM_j_TCzf3z0aBvleeFMH_qvIyezSVOMTlUyCvp1cz85AMQcOFNsSCdtfPAIMaufCDMHlm45bHuKOrEC9ETqVHPJNLWRLGhtaiogxuFNgF2XiLr3wYgXVg-MCV8n9rTLrItj0t-wOHSqaSbBvGFbhOrgC2VRhpIdXdG657BVUg5dPiAr9n3sWFevWDf9XBNVwHNMchDHQjMz4J4QyIVHCud8FuX2q6FW7JHyPnbzAJACK3jiPaz-v1M1mcfMDLrlGAGLnTTMp8xxO_n-jQd83nNIZLn3fC6sgo_aKv1TOwE5PpETCRvimrlg0KUtaqcfg4NqahKvpIZyjPkZZ1j6W7Saun_oQZmd_75HePZ4P29s4iD-xzcKJ_vdrof_hqHHhGWgxjlpoEQOc2KM3vSchq3pGCCw7tpfl7tyPFAi0qi69BIr0_v6sRjQVELcj6HPV1FPi_6rhqOc13g3HuXFv7k4W4VFE0jSj5Xkrd2pwmAvGnXKeiJqMs1RfZ_fNxyhWOejGRUyw2qcTcGymaLrG2yHU1UT7S7d0ah4b4-CbYZhrk1qlak_MKhG5tSiLmXQGGVxdcYqOXxOZr0_HSjhtMpyIo_PnoNhft5D1dbHglSkMvdnAZkvnddGe3RBM2z1FlX1ydgAiL_8hWj3EISLBBFHoSPiq_LGAejcNHoD2UogZjai2Q77AsfgJfiR2MUwfov6jJtAA2DuU9gS__e1aZB_BOTI8PKXAu4eHNgStOq9POtpT4Skrwtuof_d88gQOEMT-U9AgC0IJcntZMVTMxpQ7pqjYvCIyqR8TmGo1vkrLSgDKb6DZ5hletpqEhPJR9SRiYLPOsn8ft2fiqvZvkfVOVLCEvStRhETla-rigFwYriWfL8GfiBr4cs0pGJFUydUIJPI_4R3UnT8O9KN6NtGJZ2WfRBvzuy-2q0RqdwHYnssv3uEN0Fc8EzfTT4AhufUtgNOpW3wvKsg3PNw4UjkANRJqp6Uob9MJpBY6tUY_80YcuuW9EeyVUP9k69b6QdGZnjl56poiVptAbmMVE_HqcqXGjda9idfLpKgJg2x2vJe5vNazL5fzvBncHrMA1Y2z2fZzg1O8YwWkM23Wy0r_GB9Gu7B8ZgSpGrKpXiBIijA9UclCWURh6Pe4UrPhAj2AmpfHV87ShE6xIk-yYxXdAwkvsKJ0pXqPYhet3pFW4-Ju9IU-CxbFC4ztgicZhGyVi8tyl_8275Wfd4BgnwhQ7fw3zLdIgMOHuqUggf3eRJ41akNphs_80w6LmxmGbi5xpvRaQEaOB0k_y_uFLgLfpNf0SM5tsKqe9pgBymh5Q1dx0WkpKwZ4H7ewh4mbHsGJpGknhPSCfxzHyb8FluqUuMjJubleB6K-OhOR120RIUqLLqYlI77pDEIq3-H7fimKQHujOrI1P8mxvDhpJh0RIF5P5PXAsL6ctJH5HuA-7G6HVFmnJyXRN0kuwu_7_uE-yJT5zZ8vXYpb2HfoxOA4yvYfWRXsplDBsL8NQKDrqKAQ7HBL8egd9FN2l2ymWpxSJpshmmDjlDSMdQIO3zWEtASoT1ZleMdFnOoBuT4bafh6QDAGc502w8xU-9bO_--KSLi8KN0m3hlm88mAzloQZlZ5ESRddbTFpL1Gi79CyXe2aR2-SiLGLRynjDTuvjpgjWn8xIcY2ZAI7HRV66dYfhIpkEtsId13CdmsJ4ra800-5lw3mqqby_dhYRFrhetxOQhnw4kAcWZi-2jbB8ryHA-Vp9cWnkmr8U576C2j2mssBcQc8Xinvbui_R7mJ9A_8l9cv_grIvuIf603ORq9KCs06ee5pksRH27k69px1_JlXD2aaKHaL57or6AUoIa9opDPFa_coLywcGHqsu0IX9xHq6tVVh9NG-KuYFMgpoX0iSHvkU9NpO0r41wVaHuwAnBKWTuelCLql6au4Je0q6rN_m48ABFrwlyWTUj69eevxHqVyqxKl_e81bLShJSx84\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Identifying search limitations**\\n\\nI need to address a retrieval blind spot. The API search doesn’t have a canonical list, and I used a wide wildcard sweep. While I have a near-complete result at 304, I can’t guarantee it’s 100%. It’s crucial to note this limitation as it's important for understanding the reliability of the data. So, let’s make sure to create a concise summary that acknowledges this aspect.\"}]}"},{"type":"toolCall","id":"call_XKKiLyEjm1SaNuXLCErc0x0D|fc_00bddaf16c51a121016a21727473f48191bf228582fff362b1","name":"todo","arguments":{"action":"update","id":1,"status":"completed"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1659,"output":290,"cacheRead":18944,"cacheWrite":0,"totalTokens":20893,"cost":{"input":0.0041475,"output":0.00435,"cacheRead":0.004736,"cacheWrite":0,"total":0.013233499999999999}},"stopReason":"toolUse","timestamp":1780576877104,"responseId":"resp_00bddaf16c51a121016a21726d3acc8191aa0e9ccd7bf65f8a"}}
{"type":"message","id":"1ceb6d43","parentId":"343c6406","timestamp":"2026-06-04T12:41:24.598Z","message":{"role":"toolResult","toolCallId":"call_XKKiLyEjm1SaNuXLCErc0x0D|fc_00bddaf16c51a121016a21727473f48191bf228582fff362b1","toolName":"todo","content":[{"type":"text","text":"Updated #1 (pending → completed)"}],"details":{"action":"update","params":{"action":"update","id":1,"status":"completed"},"tasks":[{"id":1,"subject":"Dry run consolidate all memories with new heuristic","status":"completed","description":"Read all existing memories, apply current consolidation heuristic without writing changes, and report keep/merge/rewrite/drop recommendations across all memories.","activeForm":"dry-running memory consolidation"}],"nextId":2},"isError":false,"timestamp":1780576884598}}
{"type":"message","id":"b4c6f653","parentId":"1ceb6d43","timestamp":"2026-06-04T12:41:44.905Z","message":{"role":"assistant","content":[{"type":"text","text":"Sí. Hecho. Dry run only.\nNo escribí nada.\n\nLeí memorias con barrido amplio de search.\nResultado: **304 memorias** encontradas.\nNota: como el API expone `search` y no un `list all`,\nesto es **casi completo pero no matemáticamente\ngarantizado**.\n\n### Veredicto\nLa base está **sobrefragmentada**.\nCon la heurística nueva conviene:\n- conservar memorias durables de alto valor\n- fusionar duplicados/correcciones\n- podar ruido de sesión\n- colapsar research legacy en paquetes\n\n### Corte propuesto\n- **keep:** ~110\n- **merge/rewrite:** ~60\n- **drop:** ~134\n\n### Buckets claros\n\n#### 1. Drop casi seguro\n- **83 `legacy_task_*`**\n  - muy granulares\n  - son historial de runs viejos, no memoria durable\n- **14 `legacy_run_*`**\n  - salvo que quieras archivo histórico explícito\n- **31 episodios crudos tipo**\n  `sebas: [telegram] ...`\n  - ruido de sesión\n  - poca reutilidad futura\n- algunos episodios operativos menores\n  tipo “alo”, “pudiste?”, etc.\n\n#### 2. Merge / rewrite casi seguro\n- **22 `legacy_claim_*`**\n- **22 `legacy_source_*`**\n\nEso hoy está muy atomizado.\nMejor rehacerlos como pocos `artifact`:\n- un artifact por research topic/run\n- con claims confirmados + sources clave\n- no una memoria por source/claim\n\n#### 3. Keep con limpieza mínima\nGran parte de:\n- `decision`\n- `project`\n- `profile`\n- algunos `artifact`\n- pocos `procedural`\n\nEstos sí ya parecen alineados con la heurística.\n\n---\n\n## Duplicados / conflictos detectados\n\n### Merge claros\n1. **User priorities for agent improvement**\n   - `mem_c24eb...`\n   - `mem_bb532...`\n   - dejar solo la versión corregida\n\n2. **Ambiguous term resolution**\n   - `mem_cba4...`\n   - `mem_cdac...`\n   - fusionar en una sola regla general\n\n3. **Laptop access**\n   - `mem_57f9...`\n   - `mem_ce0f...`\n   - una sola memoria: preferir laptop helpers,\n     sin web auth, sin pedir permiso extra\n     para acceso no destructivo\n\n### Conflicto real\n4. **SSH timeout**\n   - `mem_812e...` = timeout 4h\n   - `mem_4c13...` = timeout disabled\n   - `mem_c8c7...` episodio de remoción\n   - `mem_b161...` decisión 4h\n\nAcá hay contradicción temporal.\nLa consolidación debería dejar:\n- **1 memoria vigente**\n- quizá **1 episodio** si querés historial\n- no ambas políticas activas\n\n### Solapamiento fuerte\n5. **Disk/root storage**\n   - varias memorias sobre root casi lleno,\n     mover caches a `/mnt/rpi`,\n     home-first layout, etc.\n   - conviene agrupar en:\n     - layout durable actual\n     - episodio puntual de space recovery\n\n---\n\n## Heurística aplicada en el dry run\n\n### Keep si:\n- preferencia estable del usuario\n- decisión vigente\n- hecho durable del proyecto/máquina\n- artifact reusable\n- procedural reusable\n\n### Drop si:\n- mensaje crudo de sesión\n- task transient\n- research scratchpad muy granular\n- episodio sin valor futuro claro\n- duplicado corregido por otro\n\n### Merge si:\n- misma política en dos memorias\n- topic único repartido en muchas\n- contradicción por versión temporal\n- source/claim split artificial\n\n---\n\n## Qué haría en la consolidación real\n\n### A. Borrar/podar\n- todos los `legacy_task_*`\n- casi todos los `legacy_run_*`\n- casi todos los episodios `sebas: ...`\n\n### B. Reescribir en bundles\n- payment integration legacy research\n- display sourcing research\n- fullscreen overlay research\n- Trading Mastery / Humand public-reference research\n\n### C. Unificar políticas vivas\n- ambiguous-term lookup\n- laptop access\n- SSH timeout actual\n- memory-service behavior\n- storage/layout facts\n\n---\n\n## Riesgo principal\nSi querés preservar trazabilidad histórica fina,\npodar `legacy_run/source/claim/task` reduce audit trail.\nPero para **memoria operativa** nueva,\nla consolidación mejora mucho señal/ruido.\n\n## Recomendación\nHacer consolidación real en dos fases:\n1. **safe pass**\n   - merge duplicados\n   - drop raw noise\n   - leave legacy research mostly intact but flagged\n2. **legacy collapse pass**\n   - convertir claims/sources/runs en bundles temáticos\n\nSi querés, siguiente paso:\nte preparo **plan exacto de consolidación**\ncon lista por memoria:\n- `keep`\n- `merge_into`\n- `drop`\n- `rewrite`\n\nY ahí recién, si aprobás, se ejecuta.","textSignature":"{\"v\":1,\"id\":\"msg_00bddaf16c51a121016a21727550d08191b59364f492d2c14a\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":431,"output":1085,"cacheRead":20480,"cacheWrite":0,"totalTokens":21996,"cost":{"input":0.0010775000000000001,"output":0.016275,"cacheRead":0.0051199999999999996,"cacheWrite":0,"total":0.0224725}},"stopReason":"stop","timestamp":1780576884598,"responseId":"resp_00bddaf16c51a121016a217274bb4c8191955ec52e749c1878"}}
{"type":"message","id":"ce9695f3","parentId":"b4c6f653","timestamp":"2026-06-04T12:54:32.152Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] todo bien\n4. a ssh le saque todo timeout\n5. problema medio solucionado (reintalamls sistema en microsd mas grande)\n\nejecuta"}],"timestamp":1780577672151}}
{"type":"message","id":"c629b2e7","parentId":"ce9695f3","timestamp":"2026-06-04T12:54:37.550Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering memory consolidation**\n\nI need to execute the real consolidation since the user approved and clarified two facts. I should write relevant memories, possibly using the API directly. I might need to check my memory-write abilities and consider updating my to-do list. It’s cross my mind to save durable memory during our conversation if it's relevant. I wonder if consolidation in the database is possible, but I don't have any information about a delete API. I might need to check the API status or documentation.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2175897ce881918867287f4c66618d\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXWNhZuNPTh13cHzTFWdYQnpFXIpzM6Y9qHTVcrNpKAT7gLfS-YXUahJAaS-bJm-dyfSn9TaiJc_YXJrK1HXGr9kvqZAvKL7Hc9dTUqjuC5IR3dP33_rvSu-e_KDjJeci8ZbxCzhopgLsZcFfEcDGfU0AAYgulVyD9M2SiJBAF6STp7rE_nH7DDMtD_-kqu3AxnRulenQqPrIW-Tya6mSqRbs21GwbpS_xX09KMk9xXTto3jwQEoCeOjqaB0GAXraELDCzl9ivCBoJY9ehglUbAA9UOPcdnHomnmE2iupBPJrteBsjWigZXywELVXi3Ol6ieSj6oB-f8z6q17ez1nJYll4L2MJ3iccRvw6oXiITiQdgH3NJ6b_9HEIatQ4Z9A1UZH4Xo0tzEsgZgDphHiqZ8GfHAg8qzBASfjaEVS6uWpZ6u-fugd8ABYSkmJ0zvWISbuxei0m7NsNuiAVtmpY0zt0mtgCIhc4d3NZwd5JvMIf0IPgI86THox-VBcYpI0Jj_lrId8gEHByvwHaS5_hGdTqmNvNNISSoZIoHP00mE5npatbm-7oJtQao9G2t2MwO8GKI8mR3Hec0bYFD7EA_RnJ6HGwiX1f8BvnmOKjYyxPCRPcN_3GAN5aRGXelye-P1A4yZmCVmqoPGjKe4H2vZZaTIeBp2ytWOox4MJBDaIxKpeFaG9tYVmRNNpw6ostqvPbTMDGkm8fVBDaK9vp6c4YmEg9d1zctwkF_Kopz3wikpdNSMQ1wONAU6KQmgjCrTy835daUFR5pBsiJVR4DcK4tUHltWezvPRgyX_Qll6OZv0mdlPw1qv4Lq87tPm8zpZWhuHEpANFuXeYWVrRoFjjp6qlVHfolVT2GRb5HabeipybidYCWlgzsUDb4irdH-sZ1TRlkpofKkn2E0x0eYi-GvPmnxBHVz0oBJLpCu1YzYN0ZzIl3V8r5Lg8SlQB170G1weNXswsbXUH7DJgHA26wdXayApmfJQILNdW_nbzC4JeEGVvPOrHkPzKfQP5WqqQ-KbSifZacLAif9MWNXHK_U8u259jBy3e-XRWh9EqAmYC2CezenpkkfLyz6uZ1CCxlxxd5UYZYn8lRZVuZ2AB_Gu0l0k21b2nTnWOI_qQOnkuzVqyXcUlo0OeplkqTaTvLgeB6FjypDVdcLmMqV7IcUbTpNPVAzvxCz6QL8Zc8ClZv_nvUd6KTNpT_zUrhRv4iyqFYDQB3WVhLH1MhB_tstC5iHH1Q2tT_EjuJsQis_1yemMLD47hiecs8WnHqF-zIa9VMNv_GmctaXNr2QtsJYfNpeobPo2h3j5IPKqcCP1CVysId91H_vaJPDTQwyuCxO27S5TzldxFUfDoV_4tQ7aOGPaG-FMwgvag_Jxaoh5FNyqOFqHK4o4Kzfkhav9APoYvztE-MIKpO4Ox-4BTmMApEKKXJNXXFagRBl_jXjxio73jcTWm5NbV22fCA8ZH-Thh7IFeGqWEiJcerCTMy_Siocst4q7OoyoosupZ0=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering memory consolidation**\\n\\nI need to execute the real consolidation since the user approved and clarified two facts. I should write relevant memories, possibly using the API directly. I might need to check my memory-write abilities and consider updating my to-do list. It’s cross my mind to save durable memory during our conversation if it's relevant. I wonder if consolidation in the database is possible, but I don't have any information about a delete API. I might need to check the API status or documentation.\"}]}"},{"type":"toolCall","id":"call_dhZg2Tl1ATFbekvD8wUFCrXi|fc_00bddaf16c51a121016a21758d41948191a521aaf0df22b1f3","name":"todo","arguments":{"action":"create","subject":"Execute memory consolidation across all memories","description":"Apply approved consolidation plan to all memories using current heuristic, incorporating user clarifications that SSH timeout is fully removed and storage issue was mostly solved by reinstalling to a larger microSD.","activeForm":"consolidating memories","status":"in_progress"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":15452,"output":167,"cacheRead":5632,"cacheWrite":0,"totalTokens":21251,"cost":{"input":0.038630000000000005,"output":0.002505,"cacheRead":0.001408,"cacheWrite":0,"total":0.042543000000000004}},"stopReason":"toolUse","timestamp":1780577672154,"responseId":"resp_00bddaf16c51a121016a217588bc9c8191aa71e8356bc59f7a"}}
{"type":"message","id":"1ec845bb","parentId":"c629b2e7","timestamp":"2026-06-04T12:54:37.551Z","message":{"role":"toolResult","toolCallId":"call_dhZg2Tl1ATFbekvD8wUFCrXi|fc_00bddaf16c51a121016a21758d41948191a521aaf0df22b1f3","toolName":"todo","content":[{"type":"text","text":"Created #2: Execute memory consolidation across all memories (pending)"}],"details":{"action":"create","params":{"action":"create","subject":"Execute memory consolidation across all memories","description":"Apply approved consolidation plan to all memories using current heuristic, incorporating user clarifications that SSH timeout is fully removed and storage issue was mostly solved by reinstalling to a larger microSD.","activeForm":"consolidating memories","status":"in_progress"},"tasks":[{"id":1,"subject":"Dry run consolidate all memories with new heuristic","status":"completed","description":"Read all existing memories, apply current consolidation heuristic without writing changes, and report keep/merge/rewrite/drop recommendations across all memories.","activeForm":"dry-running memory consolidation"},{"id":2,"subject":"Execute memory consolidation across all memories","status":"pending","description":"Apply approved consolidation plan to all memories using current heuristic, incorporating user clarifications that SSH timeout is fully removed and storage issue was mostly solved by reinstalling to a larger microSD.","activeForm":"consolidating memories"}],"nextId":3},"isError":false,"timestamp":1780577677551}}
{"type":"message","id":"c379da6d","parentId":"1ec845bb","timestamp":"2026-06-04T12:54:39.343Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_xaH04zte7hXwXtLeEk5zMuVH|fc_00bddaf16c51a121016a21758ed2008191ac04d1ad89c588c4","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-write/SKILL.md"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":282,"output":31,"cacheRead":20992,"cacheWrite":0,"totalTokens":21305,"cost":{"input":0.000705,"output":0.000465,"cacheRead":0.005248,"cacheWrite":0,"total":0.006418}},"stopReason":"toolUse","timestamp":1780577677554,"responseId":"resp_00bddaf16c51a121016a21758daa0481919e62af0a9d194378"}}
{"type":"message","id":"9aa981c0","parentId":"c379da6d","timestamp":"2026-06-04T12:54:39.345Z","message":{"role":"toolResult","toolCallId":"call_xaH04zte7hXwXtLeEk5zMuVH|fc_00bddaf16c51a121016a21758ed2008191ac04d1ad89c588c4","toolName":"read","content":[{"type":"text","text":"---\nname: memory-write\ndescription: Save a durable high-signal memory into agents-database\n---\n\n# memory-write\n\n## Use When\n\n- new information is likely useful beyond current chat or task\n- saving a decision, preference, project fact, reusable source/artifact, or handoff summary\n- user asks to remember something durable\n\n## Do Not Use When\n\n- content is trivial, redundant, ephemeral, or likely useless later\n- content is secret unless user explicitly asked to store it\n\n## Required Workflow\n\n1. If useful context may already exist, optionally check first:\n   - `curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=<query>&scope=global&scope=project&limit=10\"`\n2. Choose best memory type:\n   - `profile`: stable user preference, priority, recurring constraint\n   - `decision`: chosen approach or operating rule\n   - `project`: durable project fact or invariant\n   - `artifact`: reusable source, claim, reference, output\n   - `episode`: concise session summary, blocked state, handoff context\n3. Build a concise payload with:\n   - required: `type`, `scope`, `title`, `content`\n   - recommended when known: `subtype`, `project_id`, `repo_id`, `task_id`, `run_id`, `source_ref`, `origin_agent`, `url`, `domain`, `metadata`\n4. Save it with the helper:\n   - `~/.agents/skills/memory-write/memory-write --type <type> --scope <scope> --title \"<title>\" --content \"<content>\"`\n5. Confirm the created memory id and what was stored.\n\n## Quick Examples\n\n```bash\n~/.agents/skills/memory-write/memory-write \\\n  --type profile \\\n  --subtype working_preference \\\n  --scope global \\\n  --title \"User prefers concise status updates\" \\\n  --content \"Sebas prefers short, direct updates with business impact first.\" \\\n  --source-ref \"conversation:2026-04-17\" \\\n  --origin-agent personal-agent\n\n~/.agents/skills/memory-write/memory-write \\\n  --type decision \\\n  --subtype operating_rule \\\n  --scope global \\\n  --title \"Agents should save durable high-signal memory opportunistically\" \\\n  --content \"Treat agents-database as shared durable memory, not only search.\" \\\n  --metadata '{\"source\":\"conversation\"}'\n```\n\n## Rules\n\n- prefer one strong memory over many weak ones\n- keep `title` short and searchable\n- keep `content` factual and compact\n- use `episode` for summaries, not for every chat turn\n- include `url` and `domain` for web-derived artifacts when known\n- include `project_id`, `repo_id`, `task_id`, and `run_id` when context exists\n"}],"isError":false,"timestamp":1780577679345}}
{"type":"message","id":"ddbf1956","parentId":"9aa981c0","timestamp":"2026-06-04T12:54:43.028Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21759020dc8191805a2b4a159622e7\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXWSdf0Yck_3T4t5M1wLLeEZtoSbCn65iCn_88VwBzTDwYuKHQG1L5rH7CNQQ7KsmqCvIZrXTEn4lpcaq7vmwWf9lbLGjAaBQioeM-0mBEV39yduwdhaksHU8AJgvlUwMixKPM2YHiclCIttNGJVufr_5NWBsGDIEGcHQzLWjVcR4A76e8F_vj9UWOmGbOALPydTQU1j6EqTdxfkGsv-yLLttLsLxNijT4g4tUctnFpfVOx3LF9_TLKcJXBuF24jCeqTz0poG-W0qtVGdpbCPMf-C_wRzrXdTu_kx9kUdy098mfp5iuVY4DSPeQ-O6ltgWAg6pwG1EHhB3tiljnA3QUXi6z5_8o1LmY87IOAgQ3e4qoXj0asxMHLl73E88gwZFopXqyOGuxQy6EyTBkAPC-7Z-pFca0UCB_DpouGhcLecuPiiaFdQwgr7BsBqngy4gWeJ-msJ5rhoUct8QWM1ix1UVqABhwp8dw8hRteH6IppBMrhM1E9u8U2eLyFJ9t7Z_N0AFMyIfSEj36ZEy9NkRzbSS-ToMIa6L6Sms51IUog6Eyp9MOfv6yQspR7yBzoiW60dPUOuMFG35XfNbGZbJgvP2BwpyDVwzjgHzAflxey8UDS8LxWxPL8oRFF-V18e_zknlBXFIWHtKqMwS9SzMJeJhR49a5bK4ynhS_2mZrqWpcYVMrIQ6MC5aFm1-yvzFxZw3kKEf2PFayp0Ruq8NYkDYdJ6bewgcL6McnMHrZ1yE5rNNfmVKN6oDGdXxCLujmmxcurSYQaVmEhxFha7IXdIjX451YzMAl_n9IhZG0fgmULo-_GxKOGX4XKkRoA2JshpTCoKwJ946ADyzAx_bavSbdXL5sX1CGF1w2JLnpp1UTvBcAGAfPGSJi4nSZ_Phk6OmaiWFOp8Dy97KjXHZ7qnaL6lxZ_CDbX_saWz5937Yp5l4QVQbwsbTafudpGoev8K-pSx4sWIEGiL-ikGF1kNOvcKfHLV_9BOXx0EDTQH-V8fsBhXEZ8dQueBa1vV982ha-13rHq-CS9B92CALJLg2Z-9oc00h_LfakG0U1LcOMfEV6is6D1m3grJsQ7PVW\",\"summary\":[]}"},{"type":"toolCall","id":"call_DQljHARsl9J8NhinCR7lbeMZ|fc_00bddaf16c51a121016a21759268448191b93a6580dbfbb473","name":"bash","arguments":{"command":"python - <<'PY'\nimport requests, json\nfor path in ['/api/status','/openapi.json','/docs','/api/search?q=ssh&limit=1']:\n    url='http://100.116.176.16:8091'+path\n    r=requests.get(url,timeout=20)\n    print('\\nPATH',path,'status',r.status_code,'ct',r.headers.get('content-type'))\n    print(r.text[:500])\nPY","timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":925,"output":155,"cacheRead":20992,"cacheWrite":0,"totalTokens":22072,"cost":{"input":0.0023125000000000003,"output":0.0023250000000000002,"cacheRead":0.005248,"cacheWrite":0,"total":0.009885500000000002}},"stopReason":"toolUse","timestamp":1780577679345,"responseId":"resp_00bddaf16c51a121016a21758f81e0819183f654147b244b89"}}
{"type":"message","id":"310c1a5f","parentId":"ddbf1956","timestamp":"2026-06-04T12:54:43.257Z","message":{"role":"toolResult","toolCallId":"call_DQljHARsl9J8NhinCR7lbeMZ|fc_00bddaf16c51a121016a21759268448191b93a6580dbfbb473","toolName":"bash","content":[{"type":"text","text":"\nPATH /api/status status 200 ct application/json; charset=utf-8\n{\"ok\": true, \"db_path\": \"/home/sebas/agents-database/data/shared-agent-memory.sqlite3\", \"dashboard\": {\"active_tasks\": [{\"id\": \"task_33d854e72d094660a2fb293a8723f5c5\", \"title\": \"Fix GitHub credential automation so repo pushes and PR creation use the intended account reliably\", \"intent\": \"The current credential helper flow can select the wrong GitHub identity during multi-repo push and PR automation. Investigate the root cause across gh auth git credential helper and repo remote handling, then des\n\nPATH /openapi.json status 404 ct text/html;charset=utf-8\n<!DOCTYPE HTML>\n<html lang=\"en\">\n    <head>\n        <meta charset=\"utf-8\">\n        <title>Error response</title>\n    </head>\n    <body>\n        <h1>Error response</h1>\n        <p>Error code: 404</p>\n        <p>Message: Not Found.</p>\n        <p>Error code explanation: 404 - Nothing matches the given URI.</p>\n    </body>\n</html>\n\n\nPATH /docs status 404 ct text/html;charset=utf-8\n<!DOCTYPE HTML>\n<html lang=\"en\">\n    <head>\n        <meta charset=\"utf-8\">\n        <title>Error response</title>\n    </head>\n    <body>\n        <h1>Error response</h1>\n        <p>Error code: 404</p>\n        <p>Message: Not Found.</p>\n        <p>Error code explanation: 404 - Nothing matches the given URI.</p>\n    </body>\n</html>\n\n\nPATH /api/search?q=ssh&limit=1 status 200 ct application/json; charset=utf-8\n{\"retrieval_id\": \"ret_e7eb5f5dadff436cb0d4f1d20ab0c861\", \"results\": [{\"memory\": {\"id\": \"mem_cda20c374a614e6ca531f9e9e121c5bd\", \"type\": \"project\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Laptop helpers use dedicated SSH key on port 2222\", \"content\": \"Configured laptop access to avoid expiring Tailscale SSH browser auth: generated ~/.ssh/id_ed25519_laptop_agent on ballbox-first, installed its public key in lap\n"}],"isError":false,"timestamp":1780577683256}}
{"type":"message","id":"86331a40","parentId":"310c1a5f","timestamp":"2026-06-04T12:54:45.904Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting API endpoints**\n\nI need to look into the helper script specifically for the API endpoints. It seems important to ensure everything is functioning correctly. I'm curious if there might be any issues lurking there or areas that need improvement. I'll pay attention to the structure and functionality to make sure it aligns with what we're aiming for. Finding and fixing any potential problems could help streamline our process!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a217594062c81919fd06a29a16162f2\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXWVg-obXzIJI4OL1PQQjIBWSQRlo3vxq6eOc4AO3HCqHWXqdM-fS4_mxC0Qk3Zyctoti4bCgvpX_oyOEMbTO6Cd3KWlo6yEOr8KWnFDoCtOafh5oMCD9FUecV8qrQl_a9gcr79P7Y7lUT4Ap9glz7FEj1NmOZV6XcppcXuWGJs29Ckyh67WkCT80_HGdeUl-j55G26dB7NZtWkO0aLzHq1sII-DbWrjkHYSun6jL80WLWPPewtZ32KXn5qocowCjpxyyG50U8iG5irassRCRJkjcsbgW5rpNvSd51eSKtkBWCSuEk-H2xYOjvpv9IWTGLXV7fbGVKSs64PUelGnWaO8TfMuzce6R2Phv47E093mRrndmNZoFhf2Ih1G7MSg3EwF0_NhXiHvMJ4ZabupiPreG4JHh9QcoXNq3yZl3m1ysCQ37OUac--eOpWs33Nqy8ujr96ywZCbuhzUwcGl31I0JSvQqpYkqpMFeKx4VHgyOBziY6sXB3HOZYymRtW8DrN5uqFrLOGGWIwwnmkfUrZTi7TxTcoc324GSYIywvCTEJ2KqK4rEIICi1sEsoryPdeXNa4UxXEqndKGuXR3iTisJIA4PZr50TwtfqUGhwp-qDrjhZ6x1XN5bWiyrjr1sMXDtGfEYpxryNGP5X1N0ZAsB7saAuSJpRPbIcwxlo31jJLscoj57rBBoOt7KEI1_2-lGrU9vGUmQYTltcdE2OswuCBve6WZ1Tt_Uy-vzjc_YSK8ihMzBvBFTlgy9AChEcCxyjCHT-20RE_2wZxwO5sG15uCdS5x0MCy8t-Nd9VSnhGLIGvb8GEvsqt1FOrNandyVD-3oal-f1YPL8OztJvu1bXgR5awDtQaZyV3D8a_2azPffGdbIfF55qRVm5tksFKAc4o7D3j0lEzQzsc-gfFqOG1i8Hn6BYpoFlH3w_VH5QfeOXEqbRdKQxiLeEjC6R1mYsl7UblyLdWNvaDFqXEijy0s7m6BYBUKYdlEXKfwLA=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting API endpoints**\\n\\nI need to look into the helper script specifically for the API endpoints. It seems important to ensure everything is functioning correctly. I'm curious if there might be any issues lurking there or areas that need improvement. I'll pay attention to the structure and functionality to make sure it aligns with what we're aiming for. Finding and fixing any potential problems could help streamline our process!\"}]}"},{"type":"toolCall","id":"call_JwzidViW5UkbweCxFk3Mepvo|fc_00bddaf16c51a121016a217595bb348191bb4903e3731fc55f","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-write/memory-write"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1121,"output":45,"cacheRead":21504,"cacheWrite":0,"totalTokens":22670,"cost":{"input":0.0028025000000000003,"output":0.000675,"cacheRead":0.005376,"cacheWrite":0,"total":0.0088535}},"stopReason":"toolUse","timestamp":1780577683257,"responseId":"resp_00bddaf16c51a121016a21759356448191823a3d1f8c15b714"}}
{"type":"message","id":"4cdcea2b","parentId":"86331a40","timestamp":"2026-06-04T12:54:45.906Z","message":{"role":"toolResult","toolCallId":"call_JwzidViW5UkbweCxFk3Mepvo|fc_00bddaf16c51a121016a217595bb348191bb4903e3731fc55f","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\nimport argparse\nimport json\nimport sys\nimport urllib.request\n\n\ndef read_content(args):\n    if args.content is not None:\n        return args.content\n    if args.content_file:\n        with open(args.content_file, 'r', encoding='utf-8') as f:\n            return f.read()\n    if not sys.stdin.isatty():\n        return sys.stdin.read()\n    raise SystemExit('need --content, --content-file, or stdin')\n\n\ndef main():\n    p = argparse.ArgumentParser(description='Write memory to agents-database')\n    p.add_argument('--api', default=None)\n    p.add_argument('--id')\n    p.add_argument('--type', required=True)\n    p.add_argument('--subtype')\n    p.add_argument('--scope', required=True)\n    p.add_argument('--status', default='active')\n    p.add_argument('--source-kind', default='manual')\n    p.add_argument('--title', required=True)\n    p.add_argument('--content')\n    p.add_argument('--content-file')\n    p.add_argument('--summary')\n    p.add_argument('--project-id')\n    p.add_argument('--repo-id')\n    p.add_argument('--task-id')\n    p.add_argument('--run-id')\n    p.add_argument('--source-ref')\n    p.add_argument('--evidence-ref')\n    p.add_argument('--origin-agent')\n    p.add_argument('--url')\n    p.add_argument('--domain')\n    p.add_argument('--metadata', help='JSON object string')\n    args = p.parse_args()\n\n    content = read_content(args)\n    metadata = json.loads(args.metadata) if args.metadata else None\n    api = args.api or 'http://100.116.176.16:8091'\n    payload = {\n        'type': args.type,\n        'scope': args.scope,\n        'status': args.status,\n        'source_kind': args.source_kind,\n        'title': args.title,\n        'content': content,\n    }\n    optional = {\n        'id': args.id,\n        'subtype': args.subtype,\n        'summary': args.summary,\n        'project_id': args.project_id,\n        'repo_id': args.repo_id,\n        'task_id': args.task_id,\n        'run_id': args.run_id,\n        'source_ref': args.source_ref,\n        'evidence_ref': args.evidence_ref,\n        'origin_agent': args.origin_agent,\n        'url': args.url,\n        'domain': args.domain,\n        'metadata': metadata,\n    }\n    for k, v in optional.items():\n        if v is not None:\n            payload[k] = v\n\n    req = urllib.request.Request(\n        api.rstrip('/') + '/api/ingest',\n        data=json.dumps(payload).encode('utf-8'),\n        headers={'Content-Type': 'application/json'},\n        method='POST',\n    )\n    with urllib.request.urlopen(req, timeout=30) as r:\n        body = r.read().decode('utf-8')\n        print(body)\n\n\nif __name__ == '__main__':\n    main()\n"}],"isError":false,"timestamp":1780577685906}}
{"type":"message","id":"0bb1ebd3","parentId":"4cdcea2b","timestamp":"2026-06-04T12:54:52.067Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring data updates**\n\nI’m thinking about how to handle updates with an ID. I need to check if using the same ID might overwrite existing data. It seems there might not be a delete option, but perhaps marking the status as \"deleted\" while keeping the same ID could work. I’m considering testing this on a scratch setup to see if I can create temporary memory and change the status. Let's see how that goes!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a217596b32c8191abf8789693086fa4\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXWZRTa9NzllNwr2dZ4SioSBBhzpuB8ng_Vj9hLJdrARu8LXtTUV9wyLrjsMqI1dULuN_Vz2yrjw4WwExP6JrKO09zxmntZnLAydSGitF16bIUZ7kz7aYMGfHlQwQRTYRl9gB_MxFXP0FVfev2DA0gE2083h9fJqx2RLtNMhE1e5jBSa-2PGeoJD7uwgj0yYzfGEt5e526FXU02Zyl43FF8VswrYAhQqCtmyNTbMJ-H4vEqB92JtrlqTV2DRkYEuPAz6URW2PGnLf_kRfTPoiTNrROMJ-xGoKsbXWT7ktMK8QjgEi_wFaq9_EvMF_84JfJ6fXjCZQXjZBS3oRgLdmYSPuVGb216nVlwWAVqdZrNqVC8g6eVlXZKcOW9DwwoP1EyB99Ta_cpmN5dPhYW9bPc7SZOHCDd20a86sEgEc5T2JZPM9Lqvba66uZ40auZCfS2A_Gztzqmlzj4b-I1RhCdXUXzxeqACBMDV3wNy1t_l4o8BLsvj4v2WMmBkCD4wBxx5EkqS4g4E8NdYOo4FdJslVtYgZEjQK3oT6iM5bdUTupCChK7y2_eJ4oQaKcJgolVSZvwOJT-AIARKLKReNeTRk-AZ0arSh7hC_aH3_wjDcjV3rs_MSDjC7wDggOiqEDE34aERw2k0527eR_8rM8TU5Jil67kH-7uUjBjaQMdc6Te88H3cZsE8pO70I4HTozb02-1_V_s7Ja1HRsh5quhtd1hbghfN57UI10NhatodPXQf74HXgzI41UrHcA-0mvVPgiRT-GRcnhL3MNqGcZoC9luUvCcZFBVxXRWgZkSOJMhYSjFWMuwOziMoyzcgVK4lKHuawFiCJopx5S1lDOxzzCUV4aTWsFJqyAYD_LDLa70zOYcA_tACZ4AZ56dzK5fibKgZ93HiWAJgO3YtA41UYmf6eaIWZDGMrIKtINK_eqEOV-70aKAOiDi7dhv0BB4aM0qUJQHwV59PhDtfqq52GUx3Tp12cGKqvPuFpp0oNfyi1HeY9IwYr5cOGxEXSF4EVZNX_K-5aGYBnOqfNbmcdkl0F93zOMfSweTZZh3s8gu9aFsDTYTswIImhyOYfN1BTCO0eSGPdcYtCT9gG89zBQQtlWR2bu0xlO9cPFaXDf4HLJ3JT2XVwB-6ejydnNkK73HMmh2n7Im5bXFQ0LzEBwsxBe2KORX-JgYPAuTnC2WoPFxflpASy7C3v_WqjwjtgBsqoKP0RyYwQjOz7B4u0g==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring data updates**\\n\\nI’m thinking about how to handle updates with an ID. I need to check if using the same ID might overwrite existing data. It seems there might not be a delete option, but perhaps marking the status as \\\"deleted\\\" while keeping the same ID could work. I’m considering testing this on a scratch setup to see if I can create temporary memory and change the status. Let's see how that goes!\"}]}"},{"type":"toolCall","id":"call_8Bl8tZdyrYf9nNFCAEVCpzBf|fc_00bddaf16c51a121016a21759976088191b2c9973c17875b8b","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, subprocess, uuid, requests\nmid='test_'+uuid.uuid4().hex[:8]\ncmd=['/home/sebas/.agents/skills/memory-write/memory-write','--id',mid,'--type','episode','--scope','global','--title','tmp test','--content','one']\nprint(subprocess.check_output(cmd,text=True))\nprint(requests.get('http://100.116.176.16:8091/api/search?q=tmp%20test&limit=5').text)\ncmd=['/home/sebas/.agents/skills/memory-write/memory-write','--id',mid,'--type','episode','--scope','global','--status','deleted','--title','tmp test','--content','one']\nprint(subprocess.check_output(cmd,text=True))\nprint(requests.get('http://100.116.176.16:8091/api/search?q=tmp%20test&limit=5').text)\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":775,"output":290,"cacheRead":22528,"cacheWrite":0,"totalTokens":23593,"cost":{"input":0.0019375000000000002,"output":0.00435,"cacheRead":0.005632,"cacheWrite":0,"total":0.0119195}},"stopReason":"toolUse","timestamp":1780577685907,"responseId":"resp_00bddaf16c51a121016a2175960fb4819184616609f3e673b9"}}
{"type":"message","id":"74d88dbc","parentId":"0bb1ebd3","timestamp":"2026-06-04T12:54:52.590Z","message":{"role":"toolResult","toolCallId":"call_8Bl8tZdyrYf9nNFCAEVCpzBf|fc_00bddaf16c51a121016a21759976088191b2c9973c17875b8b","toolName":"bash","content":[{"type":"text","text":"{\"id\": \"test_feac4efd\", \"type\": \"episode\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"tmp test\", \"content\": \"one\", \"summary\": \"one\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-06-04T12:54:52.328284+00:00\", \"updated_at\": \"2026-06-04T12:54:52.328284+00:00\", \"observed_at\": \"2026-06-04T12:54:52.328284+00:00\", \"source_ref\": null, \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {}, \"embedding\": null}\n\n{\"retrieval_id\": \"ret_7c03fb7021fd42fb970dbc3a0201bdd9\", \"results\": [{\"memory\": {\"id\": \"test_feac4efd\", \"type\": \"episode\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"tmp test\", \"content\": \"one\", \"summary\": \"one\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-06-04T12:54:52.328284+00:00\", \"updated_at\": \"2026-06-04T12:54:52.328284+00:00\", \"observed_at\": \"2026-06-04T12:54:52.328284+00:00\", \"source_ref\": null, \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {}, \"embedding\": null}, \"score\": 0.39999999999999997, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 1.0, \"semantic\": 0.0, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"global\", \"evidence_ref\": null, \"explanation\": \"facets=0.00 lexical=1.00 semantic=0.00 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"legacy_run_8248124f-5145-475f-a3c7-a37b619abfa0\", \"type\": \"episode\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"run\", \"title\": \"Research run: Test intake flow\", \"content\": \"Goal: Test intake flow\\nScope: demo\\nAssumptions: none\\nSummary: Test intake flow\", \"summary\": \"Test intake flow\", \"confidence\": 0.85, \"freshness\": 0.8, \"created_at\": \"2026-03-13T14:01:39.636174+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368568+00:00\", \"observed_at\": \"2026-03-11T03:03:04.117688+00:00\", \"source_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"evidence_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"research_run\", \"run_id\": \"8248124f-5145-475f-a3c7-a37b619abfa0\", \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {\"assumptions\": \"none\", \"goal\": \"Test intake flow\", \"run_status\": \"active\", \"schema\": \"shared-agent-memory-v2\", \"scope\": \"demo\", \"subtype\": \"research_run\", \"summary\": \"Test intake flow\"}, \"embedding\": [0.47697552502965085, 0.47868266720942765, 0.49507123213528537, 0.47117124161840956, 0.19768706441815878, 0.16593421987430945, 0.08091853932142251, 0.055652835060725186]}, \"score\": 0.3735599958502105, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9370666390014037, \"confidence\": 0.85, \"freshness\": 0.8}, \"matched_scope\": \"global\", \"evidence_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.94 confidence=0.85 freshness=0.80\"}, {\"memory\": {\"id\": \"legacy_task_67\", \"type\": \"task_hint\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Legacy task: Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.\", \"content\": \"Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.\\nkind=research_note\\nstatus=noted\\nnotes=\", \"summary\": \"Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.\", \"confidence\": 0.65, \"freshness\": 0.6, \"created_at\": \"2026-03-13T14:01:39.775634+00:00\", \"updated_at\": \"2026-04-30T17:32:27.374539+00:00\", \"observed_at\": \"2026-03-13T14:01:39.775634+00:00\", \"source_ref\": \"personal-agent:task:67\", \"evidence_ref\": \"personal-agent:task:67\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"run_id\": \"1f1a3fd4-eb28-4e99-891f-07c97243a06f\", \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {\"legacy_task_id\": 67, \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"task_kind\": \"research_note\", \"task_status\": \"noted\"}, \"embedding\": [0.5438375749309828, 0.5000467850467516, 0.45625599516252047, 0.32512826679409634, 0.2331431439087839, 0.20598796135487518, 0.15363472652121332, 0.14115802102347147]}, \"score\": 0.3514217524307522, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9228116828716815, \"confidence\": 0.65, \"freshness\": 0.6}, \"matched_scope\": \"global\", \"evidence_ref\": \"personal-agent:task:67\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.92 confidence=0.65 freshness=0.60\"}, {\"memory\": {\"id\": \"mem_ballbox_stage_and_goal\", \"type\": \"project\", \"scope\": \"project\", \"status\": \"active\", \"project_id\": \"ballbox\", \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Ballbox current stage and immediate goal\", \"content\": \"Ballbox is still at validation stage. There are no customers yet, only interested people. Five vending machines are being brought from China for testing. The immediate goal is to start generating a real business.\", \"summary\": \"Validation stage; no customers yet; five machines coming from China; immediate goal is real business generation.\", \"confidence\": 0.98, \"freshness\": 1.0, \"created_at\": \"2026-03-13T21:19:16.033820+00:00\", \"updated_at\": \"2026-03-13T21:19:16.033820+00:00\", \"observed_at\": \"2026-03-13T21:19:16.033820+00:00\", \"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"kind\": \"project_fact\", \"project\": \"ballbox\"}, \"embedding\": [0.5488541861108049, 0.4939265154453664, 0.41280257107794954, 0.3616775853047337, 0.2585825726711414, 0.18041627210878655, 0.1850639980881698, 0.141121861555819]}, \"score\": 0.3850864725944328, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9085764839628854, \"confidence\": 0.98, \"freshness\": 1.0}, \"matched_scope\": \"project\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.91 confidence=0.98 freshness=1.00\"}, {\"memory\": {\"id\": \"legacy_task_7\", \"type\": \"task_hint\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Legacy task: Prepare demo checklist: local dev flow, mock approved payment, production-like Q\", \"content\": \"Prepare demo checklist: local dev flow, mock approved payment, production-like QR flow, and machine-side screen recording or live test\\nkind=task\\nstatus=open\\nnotes=\", \"summary\": \"Prepare demo checklist: local dev flow, mock approved payment, production-like QR flow, and machine-side screen recording or live test\", \"confidence\": 0.65, \"freshness\": 0.6, \"created_at\": \"2026-03-13T14:01:39.722966+00:00\", \"updated_at\": \"2026-04-30T17:32:27.371784+00:00\", \"observed_at\": \"2026-03-13T14:01:39.722966+00:00\", \"source_ref\": \"personal-agent:task:7\", \"evidence_ref\": \"personal-agent:task:7\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"run_id\": \"55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {\"legacy_task_id\": 7, \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"task_kind\": \"task\", \"task_status\": \"open\"}, \"embedding\": [0.5331450704609046, 0.4796898918922651, 0.4248279980981351, 0.37735135923783025, 0.25443961641059665, 0.22296436324024638, 0.17654276079905945, 0.13100035537380406]}, \"score\": 0.3485111356182175, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9034075707881165, \"confidence\": 0.65, \"freshness\": 0.6}, \"matched_scope\": \"global\", \"evidence_ref\": \"personal-agent:task:7\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.90 confidence=0.65 freshness=0.60\"}]}\n{\"id\": \"test_feac4efd\", \"type\": \"episode\", \"scope\": \"global\", \"status\": \"deleted\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"tmp test\", \"content\": \"one\", \"summary\": \"one\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-06-04T12:54:52.470338+00:00\", \"updated_at\": \"2026-06-04T12:54:52.470338+00:00\", \"observed_at\": \"2026-06-04T12:54:52.470338+00:00\", \"source_ref\": null, \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {}, \"embedding\": null}\n\n{\"retrieval_id\": \"ret_4ee188e3ea6e4aff87a2ad0300ef6b57\", \"results\": [{\"memory\": {\"id\": \"legacy_run_8248124f-5145-475f-a3c7-a37b619abfa0\", \"type\": \"episode\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"run\", \"title\": \"Research run: Test intake flow\", \"content\": \"Goal: Test intake flow\\nScope: demo\\nAssumptions: none\\nSummary: Test intake flow\", \"summary\": \"Test intake flow\", \"confidence\": 0.85, \"freshness\": 0.8, \"created_at\": \"2026-03-13T14:01:39.636174+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368568+00:00\", \"observed_at\": \"2026-03-11T03:03:04.117688+00:00\", \"source_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"evidence_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"research_run\", \"run_id\": \"8248124f-5145-475f-a3c7-a37b619abfa0\", \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {\"assumptions\": \"none\", \"goal\": \"Test intake flow\", \"run_status\": \"active\", \"schema\": \"shared-agent-memory-v2\", \"scope\": \"demo\", \"subtype\": \"research_run\", \"summary\": \"Test intake flow\"}, \"embedding\": [0.47697552502965085, 0.47868266720942765, 0.49507123213528537, 0.47117124161840956, 0.19768706441815878, 0.16593421987430945, 0.08091853932142251, 0.055652835060725186]}, \"score\": 0.3735599958502105, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9370666390014037, \"confidence\": 0.85, \"freshness\": 0.8}, \"matched_scope\": \"global\", \"evidence_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.94 confidence=0.85 freshness=0.80\"}, {\"memory\": {\"id\": \"legacy_task_67\", \"type\": \"task_hint\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Legacy task: Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.\", \"content\": \"Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.\\nkind=research_note\\nstatus=noted\\nnotes=\", \"summary\": \"Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.\", \"confidence\": 0.65, \"freshness\": 0.6, \"created_at\": \"2026-03-13T14:01:39.775634+00:00\", \"updated_at\": \"2026-04-30T17:32:27.374539+00:00\", \"observed_at\": \"2026-03-13T14:01:39.775634+00:00\", \"source_ref\": \"personal-agent:task:67\", \"evidence_ref\": \"personal-agent:task:67\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"run_id\": \"1f1a3fd4-eb28-4e99-891f-07c97243a06f\", \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {\"legacy_task_id\": 67, \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"task_kind\": \"research_note\", \"task_status\": \"noted\"}, \"embedding\": [0.5438375749309828, 0.5000467850467516, 0.45625599516252047, 0.32512826679409634, 0.2331431439087839, 0.20598796135487518, 0.15363472652121332, 0.14115802102347147]}, \"score\": 0.3514217524307522, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9228116828716815, \"confidence\": 0.65, \"freshness\": 0.6}, \"matched_scope\": \"global\", \"evidence_ref\": \"personal-agent:task:67\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.92 confidence=0.65 freshness=0.60\"}, {\"memory\": {\"id\": \"mem_ballbox_stage_and_goal\", \"type\": \"project\", \"scope\": \"project\", \"status\": \"active\", \"project_id\": \"ballbox\", \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Ballbox current stage and immediate goal\", \"content\": \"Ballbox is still at validation stage. There are no customers yet, only interested people. Five vending machines are being brought from China for testing. The immediate goal is to start generating a real business.\", \"summary\": \"Validation stage; no customers yet; five machines coming from China; immediate goal is real business generation.\", \"confidence\": 0.98, \"freshness\": 1.0, \"created_at\": \"2026-03-13T21:19:16.033820+00:00\", \"updated_at\": \"2026-03-13T21:19:16.033820+00:00\", \"observed_at\": \"2026-03-13T21:19:16.033820+00:00\", \"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"kind\": \"project_fact\", \"project\": \"ballbox\"}, \"embedding\": [0.5488541861108049, 0.4939265154453664, 0.41280257107794954, 0.3616775853047337, 0.2585825726711414, 0.18041627210878655, 0.1850639980881698, 0.141121861555819]}, \"score\": 0.3850864725944328, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9085764839628854, \"confidence\": 0.98, \"freshness\": 1.0}, \"matched_scope\": \"project\", \"evidence_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.91 confidence=0.98 freshness=1.00\"}, {\"memory\": {\"id\": \"legacy_task_7\", \"type\": \"task_hint\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Legacy task: Prepare demo checklist: local dev flow, mock approved payment, production-like Q\", \"content\": \"Prepare demo checklist: local dev flow, mock approved payment, production-like QR flow, and machine-side screen recording or live test\\nkind=task\\nstatus=open\\nnotes=\", \"summary\": \"Prepare demo checklist: local dev flow, mock approved payment, production-like QR flow, and machine-side screen recording or live test\", \"confidence\": 0.65, \"freshness\": 0.6, \"created_at\": \"2026-03-13T14:01:39.722966+00:00\", \"updated_at\": \"2026-04-30T17:32:27.371784+00:00\", \"observed_at\": \"2026-03-13T14:01:39.722966+00:00\", \"source_ref\": \"personal-agent:task:7\", \"evidence_ref\": \"personal-agent:task:7\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"run_id\": \"55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {\"legacy_task_id\": 7, \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"task\", \"task_kind\": \"task\", \"task_status\": \"open\"}, \"embedding\": [0.5331450704609046, 0.4796898918922651, 0.4248279980981351, 0.37735135923783025, 0.25443961641059665, 0.22296436324024638, 0.17654276079905945, 0.13100035537380406]}, \"score\": 0.3485111356182175, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.9034075707881165, \"confidence\": 0.65, \"freshness\": 0.6}, \"matched_scope\": \"global\", \"evidence_ref\": \"personal-agent:task:7\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.90 confidence=0.65 freshness=0.60\"}, {\"memory\": {\"id\": \"mem_807edebd292b4f86a344f5674f7685c8\", \"type\": \"episode\", \"scope\": \"agent\", \"status\": \"active\", \"project_id\": \"proj_personal_agent\", \"repo_id\": \"repo_personal_agent\", \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Task completed: Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordinati...\", \"content\": \"## Findings\\n- Confirmed locally on 2026-03-15: `python3 scripts/personal.py --json status` works and returns live task/run state. Current snapshot shows `active_task_count=19`, `blocked_task_count=2`, `pending_approval_count=0`.\\n- Confirmed locally on 2026-03-15: `codex exec --help` matches the newer CLI shape and supports `-C/--cd`, `--add-dir`, `--output-last-message`; it does not advertise the older `--ask-for-approval` flow.\\n- Confirmed from repo state: local edits in `personal_agent/planner.py`, `personal_agent/runtime.py`, and `tests/test_personal.py` replace the obsolete `--ask-for-approval` and `--search` flags with `-C`, and add test coverage for that command shape.\\n- Confirmed from runtime evidence: recent stored runs failed with exact error `unexpected argument '--ask-for-approval' found`, so the earlier smoke failures were real and explainable.\\n- Confirmed from docs/scripts: the only declared repo gate is `./scripts/run-checks.sh`, which runs `python3 -m unittest discover -s tests`.\\n- Not confirmed: full repo test pass. In this read-only sandbox, the test suite fails before exercising app behavior because Python cannot create temp dirs: `FileNotFoundError: No usable temporary directory found`.\\n- Not confirmed: shared-memory operational readiness under this sandbox. Targeted memory search failed with `sqlite3.OperationalError: attempt to write a readonly database`, so shared DB interaction is not proven here.\\n- Not confirmed: production readiness. Docs still describe dashboard, daemon, worker, approvals, and multi-repo handoff topology, but this run did not validate dashboard serving, worker completion, or end-to-end shared-memory writes.\\n\\n## Risks\\n- Main near-term risk is false confidence from static docs plus partial command success while writable-path and temp-dir assumptions remain unverified.\\n- Working tree is dirty, so the codex CLI fix appears in progress but not yet fully validated by a successful full gate.\\n\\n## Recommended Next Action\\n- Queue one internal follow-up task: rerun the full local smoke gate in a writable environment after the current codex CLI flag fix lands, with focus on two proofs only: tests pass and shared-memory-backed worker flow completes without the old CLI error.\", \"summary\": \"## Findings\\n- Confirmed locally on 2026-03-15: `python3 scripts/personal.py --json status` works and returns live task/run state. Current snapshot shows `active_task_count=19`, `bl\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-03-15T14:22:58.677648+00:00\", \"updated_at\": \"2026-03-15T14:22:58.677648+00:00\", \"observed_at\": \"2026-03-15T14:22:58.677648+00:00\", \"source_ref\": \"personal-agent\", \"evidence_ref\": \"art_f2e3c950a9b8427e89e083457683077e\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"task_run_id\": \"run_d37c8577c9674333b7157a945274385a\"}, \"embedding\": [0.5224428985589578, 0.48152433076703893, 0.42973718009413725, 0.35778057440210237, 0.27926329686191054, 0.2267515739969433, 0.18020769118662489, 0.14362338250724355]}, \"score\": 0.3843020158442094, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 0.5, \"semantic\": 0.8953467722947295, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"agent\", \"evidence_ref\": \"art_f2e3c950a9b8427e89e083457683077e\", \"explanation\": \"facets=0.00 lexical=0.50 semantic=0.90 confidence=1.00 freshness=1.00\"}]}\n"}],"isError":false,"timestamp":1780577692590}}
{"type":"message","id":"37b259e9","parentId":"74d88dbc","timestamp":"2026-06-04T12:55:34.741Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering memory updates**\n\nI’m thinking about cleaning up some test data that needs to be deleted. For sure, I can exclude any deleted memories from my search. It seems like I might want to create some consolidated memories too. The user mentioned execution, so I’m looking to make real changes, but not overwhelm with too many deletions — maybe all 304 is too broad. I'll aim for clear cases, update duplicates, and possibly preserve some artifacts as well. User approved this plan!\n\n**Creating consolidated artifacts**\n\nI’m focusing on SSH and disk facts, considering the need for consolidated artifacts related to legacy research topics. Even if I'm deleting all sources and claims, preserving themes could be valuable. I’m thinking about summarizing the research into four different artifacts around payment integration, display sourcing, fullscreen overlay, and public reference. I might also consolidate storage by updating the current state of memories and marking conflicting ones as deleted while creating new project memories. I'll use a script to help with this process!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a21759d34488191a0a59fc9b8434d31\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXWlMe7UhIXeMWay7F6X7xNPSy_rlvrFainZ3TmYtnMd7Q-oerh2mqt6SKWqxc1sd8l0Va7v475Y_cuaUCQHgJe3rzVIQLB26NXhCIzFAi9dWp_Cv-m9QCkqOBk6LJPUlCOFliwKDVbKBcdP-nBnZ8zJmzWk6-zImKeLoDj9D7SIqRt5sP0SZNZGQ4p1tXsKEg5dYzbWr4uZo-1RbXQH8QcAWYphMJdmBVFrp09eYzmZeiJjO_n5gRzMsWgawYclPQDW99GVU_3GY-lLcNVW-aIosLy-JG7kkDJ3b-6SDUJ7puMcuOqSe4VmM-IqKmPKvOPzqfddJ-AThbHjWDPCwq8j4yEMRdR1j3KPQgCmlR47ODfDFQmBE6fwqrKPU7RI5J7drPedcSHLPMr8dpW3sR9wq2SlgfESUGrEDJ989RGddcApxbbq4U0I1ApGIMw4x9jwE9Uy1KbcbE7QHq4Bkx8B0LJ6O-rc7JreoEuurSZdZHzOboER7EzmRUirEvRwtQeauJBIMiL_D8iJb78FkaFcSzrQ1wd649tjbXlRV5Mai8QC_FXfjuzOZRvnrQ2c9njJ768Nh0MKheUZ74_XWRpYP0jdYS5mPRW4plI5HMpaSOEDZbcsXHOXodqvjDz38YCNHf9i5gZR8I3HOtcKtGIKGT6sDVrLuhVwg7ePz0fl8HOpx6baJoXepdXEvJqWFQuHePriaGgV1zfD28ygkkyFgY9leNZ5paRLJUX-bYaHflfEk5UUk79IlPESEAwhtNgBeg9bQSbCeF_oc6hMkdhBSFDGHoKQsS-Qa0cgtZjxlyMeTkyN8LWerojJTdqtJLTzdob5T_q0OlZcj4PJWSUkh9ad9OfJ2TOUxG1VXptVVnI5VHGlmQfCLK9xkhl6k7THaYcUsTWE2BKUHBXkQNwae_sY4g5tcJd3Xmfvc3p3pAZvaO26i-RTDaqlX3Em5Yz1F45-m0Kblj5ptt-Q3g3YPczx3qn2dbFLBhhSfdP6pKGlT6PlzI7MCEQYH9VDh_1AS5Wz5qMOKiTJZWFHJs2F_1ZLiuD0v9fgtNg-XWFZiyiXlZn2VoYmOpMCccHWv4KlyjjmQWik_6Rk7VifJ52dsKGnLMqVYoMXXP3olaq3kWLEQCGSEnzB--ItSkeB-8ZaNoAOaEoC21bRIjv7uF6hc2fSlVu50GLteeW_qOPo7lYC7tOM_xW-f13AnAfs2Ms7MvyQqMYB59d3tIOXITx1evNW48VhECNViDeEEqijGB6e7rittDPa0vfE_-4uTyLm86XxQeg1rk6RqaFO2_AvfmGTczJb5jiDU_6is4tzBDM5h3qFiOZFZ1Um2mYpfLl5gxAe_vImxWYGzKTqrLCFSRNtIj4-owiMuwmijqn9TxnYu3b2JV8lPZYkVXO6WUovZJ4seGgjFgK2CNKm371CHZ9uchKqzekf-1SkVdfPKHoeLrknumYG4uiISX4vv9uX0bA7WofAgOiNsU2s34_kwVZCgnS99pNtC72EpyIBvCHLeniET3UCiA2Nq_sQ_L9hRpibtx6dfdOy1XaG_naiqrs_HaJv4DJh8nLdqSBTxBrWtzvQa9_hReEJWxWxeprWFhMehr81L7L8aDvlaTzflLfxo1ibIAVLf2o3V7dBjSV-GijuorAbUtSpPmA2Vlu_gagkQlW3N7w-NMNe3GjxY5JjB2Pzqf__SFrj_JWpuEV3LlUBsUIg39MoTJLRfrXPiud4BxtxhklX70NKWJKEu0jeK0hQG4m4O3HWSibd8qnZrIj2wh0NbTkMPu9tHCY_89lMCuTnxKMXXgw1O15U2DFotJ9YIz8vMdoBX4E6qMb4ME76emiAQaW9tiLKOl-5FrXrGqSwNzooEn_SgvQVx38pkN5u304RY7vP6Q4pqi1bTMJhD1KtCTKmAgwllYf9t_zx8ApiN6hknrVvLIVxCND_I9zIdOP9CoMvstqfc5No3229yhiEU82_yXGBFP52699LvS4TLuLoAvdif9rkoo71cu3tfmnYsswpNl-XMca5Da2cXZnec75TWPISrL_bgPIiz9FrLauXCIgnS0c5ViJDtBC1JMA7JMbJxWEyyqRtK8HzVYMYD7wMWICnDGpQIYMWJRVOXneBTtFKNmxuMpPvYsSstpesGiMLKGLrt5nEd5_0FwnzOjcLsA5d9vlP6zMUeRZt5565yauqaDkMDI-Sw6NP2gtZWcRb9AuZRiapLehh3hwbh3Xadt0ODBqwo9p-XeQl_vEJUCAT9e_niRkZ0u9d3mRV_8UDM5NZDmwjONWycNFBqL-sLwtNeUPxujuPg5nl4OzsuIiDhzW8G96SLLMe13-uyDlmEAXfxhkuyTThqS1yXFHVR0ms_ekWq--b7EGojRhDNNQO5kZI1nnTSu2l_7GkiePwvj6eketodqXGImpZHGvBsSczFQA01GbSDLbwdNhHPaQpoog1c56pj6IEhtsZtExIrn5z-wyk5opu_qwpxSQVhCmmGt2MNhY9LTd9d-jNpYRKSdI6OlemHvWllZ_HTa240_qNZine3H1Pw01cS0QtydzG3JGWeIjCbzmBe70np_UV3_5NLBuwx7OAo1L235xKwfZdSDdJPDJfN0Ai01Lg1wGt6aWTIU2R9gRTj_O_eb9fpuGul0CtKmujEYQuWwiONOMVOulSYsGQNDwh5nEPPaPpPUJVJCxOZQT1MInjwORFuMyvEz3Q3_ikwnNEeE461nzHkCNHVcMLxGcZr-dxkMFn7Zi50Qfl8vtKZTRyH8eCoFA5p9_CGEblG3AXlr9iIVrpslVPVdD3j8LBZgaVcHUL7NuAGittCcDlvHcKNShpU_hU_1btM1X2c0IT9jN98WQBUzTY32LGYPQ7jgWt-Kx8Cj5KxPTG4eBGT1SaTq1elAjXvv0vT3e2r1R303zS_eAyjWEslD3pNVc0dvjXPb2K05DFtFUnnIZsf62X36LeQ3CJw1Wx_P_znrx0ZGve4-eAJ9zBqV-bn0R1Roy028rTI4jWxH3MUHtUl5BQVJPxxtqGmTOshbJce7Z15URY_IwivBMRfW6tT87vbVrh6_-oYCEqm5HNFsrAUGgYKz0klQT3bFbVRxH1BVjUQ3k0uvEA6sYZX5mXf5iWtTHIYiYWaYBlcftK2JU5bKTLX_iZX1pzQ1BAJBLyJ7Fet6uPfZnsRkHCMlR5tSrIAdA56LbX2IPU\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering memory updates**\\n\\nI’m thinking about cleaning up some test data that needs to be deleted. For sure, I can exclude any deleted memories from my search. It seems like I might want to create some consolidated memories too. The user mentioned execution, so I’m looking to make real changes, but not overwhelm with too many deletions — maybe all 304 is too broad. I'll aim for clear cases, update duplicates, and possibly preserve some artifacts as well. User approved this plan!\"},{\"type\":\"summary_text\",\"text\":\"**Creating consolidated artifacts**\\n\\nI’m focusing on SSH and disk facts, considering the need for consolidated artifacts related to legacy research topics. Even if I'm deleting all sources and claims, preserving themes could be valuable. I’m thinking about summarizing the research into four different artifacts around payment integration, display sourcing, fullscreen overlay, and public reference. I might also consolidate storage by updating the current state of memories and marking conflicting ones as deleted while creating new project memories. I'll use a script to help with this process!\"}]}"},{"type":"toolCall","id":"call_WH3NY6h0dWAtlgwqbplyyni5|fc_00bddaf16c51a121016a2175a5821c8191b6d55802a5d951f9","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, subprocess, textwrap\nfrom pathlib import Path\nmems=json.load(open('/tmp/memory_dryrun_all.json'))\nby_id={m['id']:m for m in mems}\n\ndef upd(mid, **kw):\n    m=by_id[mid].copy()\n    m.update(kw)\n    args=['/home/sebas/.agents/skills/memory-write/memory-write','--id',mid,'--type',m['type'],'--scope',m['scope'],'--status',m['status'],'--title',m['title'],'--content',m['content']]\n    opt_map={\n      'subtype':'--subtype','project_id':'--project-id','repo_id':'--repo-id','task_id':'--task-id','run_id':'--run-id',\n      'source_ref':'--source-ref','evidence_ref':'--evidence-ref','origin_agent':'--origin-agent','url':'--url','domain':'--domain'\n    }\n    for k,flag in opt_map.items():\n        v=m.get(k)\n        if v is not None:\n            args += [flag, str(v)]\n    md=m.get('metadata')\n    if md:\n        args += ['--metadata', json.dumps(md)]\n    subprocess.run(args, check=True, stdout=subprocess.DEVNULL)\n\n# delete clear-noise groups\nids_to_delete=[]\nfor m in mems:\n    mid=m['id']\n    title=m['title']\n    if mid.startswith(('legacy_task_','legacy_run_','legacy_claim_','legacy_source_')):\n        ids_to_delete.append(mid)\n    elif title.startswith('sebas:'):\n        ids_to_delete.append(mid)\n\n# duplicate/conflict drops\nids_to_delete += [\n    'mem_c24eb94053944d0d8847c565a2a6f65a', # corrected by bb53\n    'mem_cdac83f3c3004eaca99546346d0c90d0', # covered by general ambiguous term rule\n    'mem_57f96c24431c4d38b5123f37e66bdae8', # covered by merged laptop access rule\n    'mem_812ea22ea06d4368bdb66fe531e64fdc', # old 4h ssh timeout\n    'mem_dcaa730515ae48b39eda5dcc5e38edd0', # old root full state\n    'mem_08b4efed55144d78af56bdd15821b61d', # old root full state\n    'mem_c8c7e1c8af7d4665aafe58baca242345', # old ssh change episode\n    'mem_d7d13d0c108b4bd9ac634e9be66cfd0d', # duplicate handoff task\n]\nids_to_delete=sorted(set(ids_to_delete))\nfor mid in ids_to_delete:\n    if mid in by_id:\n        upd(mid, status='deleted')\n\n# create/replace consolidated active memories\ncreate_cmd='/home/sebas/.agents/skills/memory-write/memory-write'\nnew_memories=[\n    [\n        '--id','mem_laptop_tailnet_access_policy',\n        '--type','profile','--scope','global',\n        '--title','Laptop Tailnet access policy',\n        '--content','Prefer laptop-* helpers and SSH-based Tailnet access over browser/web auth. No extra approval is needed for non-destructive laptop access; confirmation is still required for irreversible actions.',\n        '--subtype','working_preference','--source-ref','conversation:2026-06-04:memory-consolidation','--origin-agent','personal-agent'\n    ],\n    [\n        '--id','mem_ssh_idle_timeout_disabled',\n        '--type','project','--scope','global',\n        '--title','SSH server idle timeout disabled on ballbox-first',\n        '--content','Current server policy on ballbox-first: SSH idle timeout is disabled, so sessions should not expire due to server-side idle timeout. This supersedes earlier 4h-timeout memories.',\n        '--source-ref','conversation:2026-06-04:memory-consolidation','--origin-agent','personal-agent'\n    ],\n    [\n        '--id','mem_ballbox_first_storage_after_microsd_reinstall',\n        '--type','project','--scope','global',\n        '--title','ballbox-first storage pressure mostly resolved by larger microSD reinstall',\n        '--content','Earlier root-disk pressure on ballbox-first was mostly resolved by reinstalling the system onto a larger microSD. Old memories about emergency cache moves and near-full root state are mainly historical, not current operating state.',\n        '--source-ref','conversation:2026-06-04:memory-consolidation','--origin-agent','personal-agent'\n    ],\n    [\n        '--id','mem_legacy_ballbox_payment_research_bundle',\n        '--type','artifact','--scope','global',\n        '--title','Legacy Ballbox payment-integration research bundle',\n        '--content','Consolidated legacy research outcome: the ballbox-payment-integration repo was directionally aligned for a vending QR flow but not production-safe. Key blockers identified across the old run set were real MercadoPago account/contract validation, correct webhook authenticity handling, real TCN/Yunshu dispense callback contract capture, production env/config hardening, and end-to-end validation against a real or faithful machine path.',\n        '--subtype','research_bundle','--source-ref','memory-consolidation:legacy-ballbox-payment','--origin-agent','personal-agent'\n    ],\n    [\n        '--id','mem_legacy_display_sourcing_research_bundle',\n        '--type','artifact','--scope','global',\n        '--title','Legacy Ballbox display sourcing research bundle',\n        '--content','Consolidated legacy research outcome: there were multiple viable 50-55 inch China-sourced signage options for Ballbox, and covered padel clubs likely allow cheaper indoor commercial signage before direct-sunlight outdoor hardware. The durable takeaway is to start from covered-club deployment assumptions, compare brightness/connectivity/remote-management constraints, and only pay for high-brightness outdoor units when the venue reality requires it.',\n        '--subtype','research_bundle','--source-ref','memory-consolidation:legacy-display-sourcing','--origin-agent','personal-agent'\n    ],\n    [\n        '--id','mem_legacy_fullscreen_overlay_research_bundle',\n        '--type','artifact','--scope','global',\n        '--title','Legacy fullscreen overlay research bundle',\n        '--content','Consolidated legacy research outcome: for replying to Codex without leaving fullscreen media, the viable solution space was lightweight overlay tooling rather than invasive native app scope. Raycast, BetterTouchTool, and Hammerspoon were the main candidates; the durable product takeaway was to optimize for minimal intrusion, quick trigger/response, and preserving fullscreen context.',\n        '--subtype','research_bundle','--source-ref','memory-consolidation:legacy-fullscreen-overlay','--origin-agent','personal-agent'\n    ],\n    [\n        '--id','mem_legacy_public_reference_research_bundle',\n        '--type','artifact','--scope','global',\n        '--title','Legacy public-reference research bundle',\n        '--content','Consolidated legacy public-reference outcome: Trading Mastery appears to be a real public business with a public website and GitHub organization presence, while Humand affiliation research should be treated as public-reference tracking only and handled carefully. Durable rule: keep only high-level public-reference conclusions, not granular source-by-source research shards, unless a live task needs them again.',\n        '--subtype','research_bundle','--source-ref','memory-consolidation:legacy-public-reference','--origin-agent','personal-agent'\n    ],\n    [\n        '--id','mem_memory_consolidation_2026_06_04',\n        '--type','episode','--scope','global',\n        '--title','Memory consolidation pass 2026-06-04',\n        '--content','Applied one-time consolidation across existing memories using the newer high-signal heuristic. Deleted raw session snippets, legacy task/run/source/claim shards, and several superseded duplicates. Added consolidated bundle memories for older research themes. User clarified that SSH idle timeout is now fully removed and storage pressure was mostly solved by reinstalling onto a larger microSD.',\n        '--source-ref','conversation:2026-06-04:memory-consolidation','--origin-agent','personal-agent'\n    ],\n]\nfor extra in new_memories:\n    subprocess.run([create_cmd]+extra, check=True, stdout=subprocess.DEVNULL)\nprint('deleted',len(ids_to_delete))\nprint('created_or_updated',len(new_memories))\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":7194,"output":2302,"cacheRead":23040,"cacheWrite":0,"totalTokens":32536,"cost":{"input":0.017985,"output":0.03453,"cacheRead":0.0057599999999999995,"cacheWrite":0,"total":0.058275}},"stopReason":"toolUse","timestamp":1780577692591,"responseId":"resp_00bddaf16c51a121016a21759cae0481918bdf7d09e0ced981"}}
{"type":"message","id":"f9ba80e0","parentId":"37b259e9","timestamp":"2026-06-04T12:55:57.517Z","message":{"role":"toolResult","toolCallId":"call_WH3NY6h0dWAtlgwqbplyyni5|fc_00bddaf16c51a121016a2175a5821c8191b6d55802a5d951f9","toolName":"bash","content":[{"type":"text","text":"deleted 180\ncreated_or_updated 8\n"}],"isError":false,"timestamp":1780577757517}}
{"type":"message","id":"958e5ac1","parentId":"f9ba80e0","timestamp":"2026-06-04T12:56:02.291Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Checking updates and verification**\n\nI need to consider updating my to-do list for completed tasks. I think it’s important to ensure that everything is verified correctly, especially the counts. It feels like a responsible step to take, but I’m double-checking to make sure I haven’t missed anything. It's so easy to overlook details, and I want to be thorough. Okay, let me go ahead and do that!","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2175de75dc8191b7f5ec65a8d02fab\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXXg_-_4YKXm4Kr0TDOeDj9IQlSN0Hgb6a_6BDK3iF6DLaXSR6ViePBAOh4MWThhAcl_xEHIqE-Q8pW4CGzmxlyeiua1w_Hm2_9ZJF9wm56Gzg_jC4a5u_ebcn8XsFMpA7PzM85a8bV3jOLM98HXG3Mjc8xr44Hexgm9EfoNvv0tmMlZ_mKVWcViVzzstCd_Ajx5LIyjGYIy-8LyKTQxT-gHTWzhz4rmgIrKAmhQmNAFNqjIcgG3Onl8L2gFWRrAjkGwOv1PzD4p9HpSMucVYJj37mQcTwX5PNYiTisDnZZwJBXOXjvdIBfytUcsvXYn0Baci_Yg-XsuRazJsWE7ehVIlFWeLI-N_tlq_-aLvHFTYi-T5EJ-CZbGW7zZaC_C0OBycetCVEXqT9keFd14VVwTOJZ82CgpHRqLRS-NR9pmGgILaBWaeeacGM7zt02ferMcehkfavXWeO9Ls-pebOyHKzYyv3-kfcUr6mxB4B4pN6wEu1sn65ph4x9KvnLuVNLVerk5DAU31l8igL5QtdCvNN_IMUUuDPI8qjinaESJNWnarvgvGZw3hMpVS7pb7D2UdJs1bhRamWdh4ptpV_Ok7yekUqbFTBIgTxz99uwKMT4enCKoRigUJLgJ2KaC6VwugMhKtvnIZCGEoM6ljyCfRNjfQojLi2TFh1bq0vyqtmCKh6hLxY-4LWvTEtiqi7kxCEeMCkrs1dmuz6kfCKn7tNkaVs5TPVNNW7GTl2JMUrrH46ZK0cneh57dNwl7noRfHvrjQllwChyHbQhm6ZIhhqO4Mg5lHwUyv3IPjsHHSACBbXEUEe7zIB96hpV2fNPzN_Lx5vdW22HEwW9HIPTpNBzs16FjnwkUlS6wCugrKYTxDT3jAFUYIKlmTnG3LDAqjUT-gY0nQw-0bgDkQW6ecIBTtzfAjfv6YtS8oPoUiQp2WIcNAykPNs0VLANEuGTAzIlqhXzwFsYc-3m1LjpIX2kskYaDU5CM2GHnSPT8WZc=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Checking updates and verification**\\n\\nI need to consider updating my to-do list for completed tasks. I think it’s important to ensure that everything is verified correctly, especially the counts. It feels like a responsible step to take, but I’m double-checking to make sure I haven’t missed anything. It's so easy to overlook details, and I want to be thorough. Okay, let me go ahead and do that!\"}]}"},{"type":"toolCall","id":"call_o0vMWyJW3044ZRtpib1eVuwc|fc_00bddaf16c51a121016a2175e04f448191b5cf698a8874a724","name":"bash","arguments":{"command":"python - <<'PY'\nimport requests, json\nqueries=['memory consolidation pass 2026-06-04','SSH server idle timeout disabled on ballbox-first','Legacy Ballbox payment-integration research bundle','sebas: [telegram] alo','Legacy task: Build a shortlist']\nfor q in queries:\n    url='http://100.116.176.16:8091/api/search?q='+requests.utils.quote(q,safe='')+'&scope=global&scope=project&limit=5'\n    r=requests.get(url,timeout=30).json()['results']\n    print('\\nQ',q)\n    for item in r[:3]:\n        m=item['memory']\n        print(m['id'], m['status'], m['title'])\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2861,"output":207,"cacheRead":29696,"cacheWrite":0,"totalTokens":32764,"cost":{"input":0.007152500000000001,"output":0.003105,"cacheRead":0.007424,"cacheWrite":0,"total":0.017681500000000003}},"stopReason":"toolUse","timestamp":1780577757518,"responseId":"resp_00bddaf16c51a121016a2175dd9acc8191a1ccf628bf33361b"}}
{"type":"message","id":"ac2842f4","parentId":"958e5ac1","timestamp":"2026-06-04T12:56:02.612Z","message":{"role":"toolResult","toolCallId":"call_o0vMWyJW3044ZRtpib1eVuwc|fc_00bddaf16c51a121016a2175e04f448191b5cf698a8874a724","toolName":"bash","content":[{"type":"text","text":"\nQ memory consolidation pass 2026-06-04\nmem_memory_consolidation_2026_06_04 active Memory consolidation pass 2026-06-04\nmem_5be93517d726499fbdf0f614da57ef6e active Memory layer RFC approved; hierarchical promotion is the key design\nmem_v1_legacy_bridge_status active V1 legacy bridge policy\n\nQ SSH server idle timeout disabled on ballbox-first\nmem_ssh_idle_timeout_disabled active SSH server idle timeout disabled on ballbox-first\nmem_b161e2e3072a49099cabb17193a4fb15 active Server-side SSH idle timeout set to 4h\nmem_4c13c21c3c514b669055da643e90049a active SSH server idle timeout disabled\n\nQ Legacy Ballbox payment-integration research bundle\nmem_legacy_ballbox_payment_research_bundle active Legacy Ballbox payment-integration research bundle\nmem_legacy_display_sourcing_research_bundle active Legacy Ballbox display sourcing research bundle\nmem_memory_consolidation_2026_06_04 active Memory consolidation pass 2026-06-04\n\nQ sebas: [telegram] alo\nmem_c089dddd4e6742e388b77447978d883c active sebas: [telegram] how many new rss feeds are available since last merged pdf g…\nmem_sebas_custom_ai_solutions_income_idea active Sebas idea: custom AI solutions as alternative income\nmem_sebas_work_philosophy active Sebas work philosophy\n\nQ Legacy task: Build a shortlist\nmem_sebas_custom_ai_solutions_income_idea active Sebas idea: custom AI solutions as alternative income\nmem_v1_legacy_bridge_status active V1 legacy bridge policy\nmem_ballbox_personal_motivation_first_business active Sebas personal motivation in Ballbox\n"}],"isError":false,"timestamp":1780577762612}}
{"type":"message","id":"03fc5022","parentId":"ac2842f4","timestamp":"2026-06-04T12:56:08.656Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Investigating memory issues**\n\nI’m checking the search results, and it looks like deleted memories aren’t appearing. Wait, is mem_4c13 still active? If we deleted it, why is it showing active? Maybe it’s because writing after deletion created a new row? Hmm, it could also be stale results. I’m thinking I need to use the exact ID query. Let’s inspect to see if the search can still return deleted entries.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2175e3f6048191897dfa439ec61900\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXXn3MkFFNTXLUo8YkbH3jX0cieub3mO8vBQ-7ncPlNFGG5NSqoLJkLMJQgNyGHlvoRrFMKj_4FwCeTzIeLWkg7Ssk0PSwpw_9w7HjhieLNCeH1Fhpf_IRc9sF7MdDu-tYMajYNLvbqAAXZasAq71oDHebKCwWj83eNdlDFa0WNCN7bNVdRJwGm95jkIxeuBQEtRtFs8ZgeRCljn1kU1ZXDX6ta6OTxYrnxrALIHerWc2wSNSljSSJfmzWT13Xj0OQLWR8A0nSdaf2N-T1wDK5nOIukRStBl9bb0qXaRn4RCqQYZ-Pjf2vxU7j7_2qEyiNxLaSYpfiBXptRnDQNaU2Vmc3j5Izx79-AX5qUYp9R8VqypsvrNQ4ecsG3vI5YFJPPUSU9TugDYth0-CWIdudozS_eQUbOL5Hq282PENGiRTcMG2VzZ7eCB3UFWB9fUYhfKiL9h5ucBN3WRGCuxt9_c-Vr44CHjc-SW6OA2F2eRaiOFUI6WZu-LtZkk7IFUQFmT5mQp80VeEynSvBqG5Yi7sDV1Y-48hR-v2L0cRUnQ8qsJlSOPjP68LHRl9Du76w_P-rWumv30g5p-Oqq5YmeEjCI_fTT4Mgwh8cmRNBU5CyRqnhIEQ37Mezb5gsjHkXnrmb2k4XholVfSm52f5VwxNLt3j_KwkReOl0UecI7MgPJayQ57EM9CEJUSmqmGLY9TtXonxajn1B2BDsJzWVrcyTNE2kV0NAofN-cWBkJapsUbNcT6BFAavDFujRjHYJri2lEz9eC1nKuTWltboCWglihKMI4VSLmpwMCyyqP03mQMijbUpmXYrWv4xYp38EksOjeBGU1yz9OTJqsVCTe0h29c7QWjZG6s9vStIDbCRW0nfTes-lRgSqh2UD3NjTJ24to85qayw3dkXYkhzu0DESL4wFUZoZxNgwvuNrm2UxuyxUmb7pHzjnnqc7l95WimMqTL0bOiEE2Mp_aF2jRe8S2oUEKVzxowIJ2vX3XMfk9R4uvFV9aohp70a18g9LgNdF_RaMA4o1MSGTU0n0XIRHOUzxiavIyq7ftH9S0WkUSkmdCaeFot_n0VfLz2KOhssVyZ6kCOcr8km2CKky6cTa1WmpzcOyiE-U7nPf9UiedB8ImJ1jXBMtw1A3Xvr425DYYhjG3o8RZJVF47SmeGfs09BL9j4pyo5KbNPkIdgTt3aXeDgRwXqhgE6-bjKeB6KNueeUy2mbN-WXNIllDo6kmtrOD3-PP9tat8wnRkakAFSiGDH5-ltS8U-hVzWWp3B0WBV5hro8cG2Z4dP1X33w==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating memory issues**\\n\\nI’m checking the search results, and it looks like deleted memories aren’t appearing. Wait, is mem_4c13 still active? If we deleted it, why is it showing active? Maybe it’s because writing after deletion created a new row? Hmm, it could also be stale results. I’m thinking I need to use the exact ID query. Let’s inspect to see if the search can still return deleted entries.\"}]}"},{"type":"toolCall","id":"call_s2FxGY89GuGUynJRFbcz86xo|fc_00bddaf16c51a121016a2175e7bfec81919ea65d86f9f16205","name":"bash","arguments":{"command":"python - <<'PY'\nimport requests, json\nfor mid in ['mem_4c13c21c3c514b669055da643e90049a','mem_b161e2e3072a49099cabb17193a4fb15','mem_c24eb94053944d0d8847c565a2a6f65a']:\n    url='http://100.116.176.16:8091/api/search?q='+mid+'&limit=5'\n    r=requests.get(url,timeout=30).json()['results']\n    print('\\nID',mid)\n    for item in r:\n        m=item['memory']\n        print(m['id'],m['status'],m['updated_at'],m['title'])\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":903,"output":254,"cacheRead":32256,"cacheWrite":0,"totalTokens":33413,"cost":{"input":0.0022575000000000004,"output":0.00381,"cacheRead":0.008064,"cacheWrite":0,"total":0.0141315}},"stopReason":"toolUse","timestamp":1780577762613,"responseId":"resp_00bddaf16c51a121016a2175e2b1048191b19231cd8f21741d"}}
{"type":"message","id":"d579074e","parentId":"03fc5022","timestamp":"2026-06-04T12:56:08.946Z","message":{"role":"toolResult","toolCallId":"call_s2FxGY89GuGUynJRFbcz86xo|fc_00bddaf16c51a121016a2175e7bfec81919ea65d86f9f16205","toolName":"bash","content":[{"type":"text","text":"\nID mem_4c13c21c3c514b669055da643e90049a\nmem_ballbox_payment_repo active 2026-03-13T14:42:32.069202+00:00 Ballbox payment integration repo purpose\nmem_ballbox_cost_over_elegance active 2026-03-13T21:19:16.035314+00:00 Ballbox decision priority: cost and business impact over elegance\nmem_sebas_confirm_irreversible_actions active 2026-03-13T21:19:16.031012+00:00 Require confirmation for irreversible actions\nmem_runtime_agentic_refactor_priority active 2026-03-14T21:46:12.297151+00:00 Refactor runtime toward Codex-agentic orchestration\nmem_ballbox_alias_resolution_rule active 2026-03-13T20:18:43.250199+00:00 Ballbox alias resolution rule for Volvox mentions\n\nID mem_b161e2e3072a49099cabb17193a4fb15\nmem_sebas_definition_of_leverage active 2026-03-13T21:26:33.704753+00:00 Sebas definition of leverage\nmem_ballbox_payment_repo active 2026-03-13T14:42:32.069202+00:00 Ballbox payment integration repo purpose\nmem_sebas_pattern_starts_without_finishing active 2026-03-13T21:36:20.595356+00:00 Sebas pattern: starts things and may not finish them\nmem_ballbox_marketing_repo active 2026-03-13T14:42:32.068103+00:00 Ballbox marketing repo purpose\nmem_sebas_dislikes_premature_action active 2026-03-13T21:19:16.030296+00:00 Sebas dislikes premature action without intent clarity\n\nID mem_c24eb94053944d0d8847c565a2a6f65a\nmem_sebas_definition_of_leverage active 2026-03-13T21:26:33.704753+00:00 Sebas definition of leverage\nmem_ballbox_payment_repo active 2026-03-13T14:42:32.069202+00:00 Ballbox payment integration repo purpose\nmem_ballbox_cost_over_elegance active 2026-03-13T21:19:16.035314+00:00 Ballbox decision priority: cost and business impact over elegance\nmem_runtime_agentic_refactor_priority active 2026-03-14T21:46:12.297151+00:00 Refactor runtime toward Codex-agentic orchestration\nmem_sebas_apartment_interior_design_goal active 2026-03-13T22:11:51.271332+00:00 Sebas apartment interior design goal\n"}],"isError":false,"timestamp":1780577768946}}
{"type":"message","id":"81c1d16e","parentId":"d579074e","timestamp":"2026-06-04T12:56:15.551Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering database access**\n\nSearching by ID isn't working out well. I'm thinking maybe if something is deleted, it could be hidden, so I might need to use the exact context. It could be better to use the API database or possibly access SQLite directly. Since there's a local path from the status, inspecting SQLite seems like the easiest option. I need to know if any deleted states apply since the write operation returned no output. I'll inspect the database using the sqlite3 command.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2175e9a33c8191a25227ff081c3149\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXXsUgMrnv8P7Y-foJaGBlrU-9FdX3Hh1QXD_bR9d5mZp3VwbpMVLNWnToFBqIWsdMCls7WQt-Bf-F9AQBnT0nybR6l1-huoIcWfWEgh5cL8uJ-Xh2vs4Ilb3oUa3_cOZCnPLvLK09lvtmpTVBrIjLyHwk98ZCaaiS32qHAvrPzFxhf-y9Fg60-0GcvIfWB3y2c0bbrkMeLLtwWsxhQbH4Hz9t4_orh_vNGKLXxcTWhjIx_GR54alZziey0FOfDW1Entt551RZYMY8x4P2YsL-yrS0puT0IMZctoEEndMUUoCdaXuP4WN2JoNkb823tdOUK43nUsM0eZM5WMHBjGHN4Cc9n1YlRITonEZoYgliB8gch30MyYrxV1GDfLW7JdVZU-nodW3w6z-Wxc-WPlphJCpUldQjDb4GK0rtvGYVy0LwNt6NTQ2X2b4yIm5pjewo4RrJAfeQJRuf1hSOk9PhgKhrVHE1HvpkXc3kv2rj1XGW6EFI1asKLjzldKqMTLvY-KaCZF1HBm-gMps9VVFT0PnXW5Zjo34LbzmjPgr3VUZiL2vDn55b7n1ddJU1-8yoJr1dCJRVrGfy9J448QHK8xFRANvsWnM2aD5eZl8qecn8WQ7sOkVIt0JkHrjkkH8PudF8mmMdq8p6HxGg1ahZw1cPEArWk3hfwqUVlZnp7M_aiVT43KoTcSZ08C0XjPwZoECwX_Vhl8gazzkz-owk9S5JLzvAnZyPf8lqE622oPR37iMdae9dEHKgmer6Ux-fzgEVy0XJ3cu3MiUE-hxL7ONNKVY4wjuCeL3k9mA_BNzXchew3KS0_q1AOy5FgFPWRHZpP7BoVNFb_skfLWeqQJK1PJZyEQ97IxKDl392r8g7NVp_v1kw-xuFlFQrvLCGGGAbXgyIDFoLZrpcW84G84ceBGbL2TnaHLjzNQ0GgwA1LildnSqkho8RvyPOkJTkx3qrzXHc0Kkrd9ZCby7KVfKQCbEFe7h6eo0QTCfLLY-MqBdkdbRxUurGHzQ7X2kUgWA9p4WjUWdmnkRfmj3gRq6FoT4FmNt-_VEtQwe1vndxoBzrakO9uBO1HZ8x1EYREQ8vOWqT0F1w674kEx3CRtnd3wFn_R0zm7UpqsgOvlx_qzaTYKwlZXC7ZU4LyncwETN8gT2_jEPAm5cPBPr_SQKQHNZBe2MdfLlwifM_5DPPoYdW-LtyZFFI5dNW04eJRqjSEn-gHBArkDWec6Gx2eZRMlyLN2Hotq54uIhOTojzxoPzKyMrd8HkvPhABX21kofvVU0JURC7RJIOrXQLKmwcsgnGAWmA3ByNV4taT3dOnUJ6gTup2gkOeCiMCHxZ7a\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering database access**\\n\\nSearching by ID isn't working out well. I'm thinking maybe if something is deleted, it could be hidden, so I might need to use the exact context. It could be better to use the API database or possibly access SQLite directly. Since there's a local path from the status, inspecting SQLite seems like the easiest option. I need to know if any deleted states apply since the write operation returned no output. I'll inspect the database using the sqlite3 command.\"}]}"},{"type":"toolCall","id":"call_wm0dNYdf0UR35bwE6PUN5n9u|fc_00bddaf16c51a121016a2175ecbb5c8191b869f32245d87912","name":"bash","arguments":{"command":"python - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/home/sebas/agents-database/data/shared-agent-memory.sqlite3')\ncur=conn.cursor()\nfor mid in ['mem_4c13c21c3c514b669055da643e90049a','mem_b161e2e3072a49099cabb17193a4fb15','mem_c24eb94053944d0d8847c565a2a6f65a','legacy_task_12','mem_282e57f1ffe6455e82fbe4d184445f2c']:\n    rows=cur.execute('select id,status,title,updated_at from memories where id=?',(mid,)).fetchall()\n    print(mid, rows)\nprint('active', cur.execute(\"select count(*) from memories where status='active'\").fetchone()[0])\nprint('deleted', cur.execute(\"select count(*) from memories where status='deleted'\").fetchone()[0])\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1273,"output":312,"cacheRead":32768,"cacheWrite":0,"totalTokens":34353,"cost":{"input":0.0031825000000000004,"output":0.00468,"cacheRead":0.008192,"cacheWrite":0,"total":0.0160545}},"stopReason":"toolUse","timestamp":1780577768947,"responseId":"resp_00bddaf16c51a121016a2175e90af0819196ecb8e09b3bd79c"}}
{"type":"message","id":"74144028","parentId":"81c1d16e","timestamp":"2026-06-04T12:56:15.607Z","message":{"role":"toolResult","toolCallId":"call_wm0dNYdf0UR35bwE6PUN5n9u|fc_00bddaf16c51a121016a2175ecbb5c8191b869f32245d87912","toolName":"bash","content":[{"type":"text","text":"mem_4c13c21c3c514b669055da643e90049a [('mem_4c13c21c3c514b669055da643e90049a', 'active', 'SSH server idle timeout disabled', '2026-05-24T10:08:47.339344+00:00')]\nmem_b161e2e3072a49099cabb17193a4fb15 [('mem_b161e2e3072a49099cabb17193a4fb15', 'active', 'Server-side SSH idle timeout set to 4h', '2026-05-05T14:49:55.380603+00:00')]\nmem_c24eb94053944d0d8847c565a2a6f65a [('mem_c24eb94053944d0d8847c565a2a6f65a', 'deleted', 'User priorities for agent improvement', '2026-06-04T12:55:54.849434+00:00')]\nlegacy_task_12 [('legacy_task_12', 'deleted', 'Legacy task: Build a shortlist', '2026-06-04T12:55:42.235185+00:00')]\nmem_282e57f1ffe6455e82fbe4d184445f2c [('mem_282e57f1ffe6455e82fbe4d184445f2c', 'deleted', 'sebas: [telegram] alo', '2026-06-04T12:55:52.827966+00:00')]\nactive 145\ndeleted 181\n"}],"isError":false,"timestamp":1780577775607}}
{"type":"message","id":"64bef024","parentId":"74144028","timestamp":"2026-06-04T12:56:24.892Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2175f07d048191b8c06a5bb0259cb8\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXXzpDDBhI3MyJUP_-8c-HyxttibN29kWXUoFDEzeJy6zFcXe5S3qqJTCse3vXtwpOPvIuSFr3KaqXnV6qM9nqiSw6ST73J0zgIV8dtaCMiX_HRw7zMY6uwIZGANtJm_MJRRaeugAaCrhMXh0cvqukQbAy61WAaQ1Y1noRBR_JNhJ4m52ArkCaRnoOawXfRxPeIZr45zf5Gy8AX-vot55oU9ysOWVs8c-h7tqIAriKa-uUzOXeiv5yYVniZdfXqFBiJ_WJW8UBpxaWwPzivHB6DxB795GBY67R5cbaT-cdONSZDZuHmFv3FPS1xTuw5JetH9t9uEB8BOgdhIM7uEc-xHkFgk8Pqecs_wJyi3zFm9GC9zJ1TqN2gsuiE9jiBSOrrsVVHMebILdTVcRoxvqKiphCHDqdWOd_9gpC14LUVZEn7w53pOhYr2mv6Nz5KagOivn21WCbocQe3GDQbNz8z03qwOLkLDGAwPpnm25Zm3RdIycMOZ_MO-PT7A-6J3DYUiXz0odbgem7g0OZqBlrmyDfg1KpZEoQDIlu89W-tSKp7I33KAhRqOhuIktwmcfsdEtBSmHT1ZFDYOrvniskTzsiRkL9GPfD9h5iPdUXIeQV5-Tzl0Lbr1fnbii3rF7md0_NtgQTJMcqGyPL05op3nNUba2Zyf7yC0zQR5AiJ3HcU0HlGa8OPH1YhhJ1hdPFfOOA_0084BPvSr4SDAzIs7sAGSFy__XITXXLfdPiPl8-qmC3DVx0bSTDyyr1ehKH6Udgfk6u9N-olpSh8E7g6MGI7Xpdh2o21dpta__oDO4IOIOGcV7ak4QYWDW505JoYHYWHS-WUp47_cCBOQjqkF-nbMEpnRdJD8w6bVzTcApVCZGAMswfjgSPEma1w4JSvYl2bqlBOG6jLfoRs4_rXhFJHzWRYdWulZqS9LAd7CMdYM2oBMFr0rdDXu4rDQ6QajbCoCA3aR5Ji5WyCjbkW6UpinbKDkHOLTF7v4hMKzD3WBgH41tAas6AUaX-P7TmINbXYKDwEaLwRH2hrYuu9Zm5wxCLRtiOuLJuVnHzDc9A5BBL9CwwLxMm6iMKjcRObZ4bR2lQwnponGPLWOqLPYinsr_dwI68tZJQmm201sGz5qU-4QChyVtcqI6eEBTD2W0nfeBGshIHBIYV3fi8yZgEyKGK4xzszR0R8akJ1DENrF3aF3P9mXhuLF4acxFuOLQBgb22aC1d385oUsYCFZdk3w8TGLGX8TwY5MHKzOEYVugB9MWiaas88sQMuECNeWpPHq8kF_iRcEuj0OCsR9SdqBFlDaA6ljDIJl9UdxFux_hCzY_4Tf_XnbNmeMxd4U3rW4JTbIZ5cRLcMgQ6JfWcj-8uW2r0HypLkB_FjRxxabF18J43rAljAouT2CHf19FJp_uUcWmc-e-IJ2MY11P2dfFxWVJqkqCD3uWIYOy_3sqByJLhEvNuyQxNSu_N61aty_xdNcE-KEbL3GwzjeOwI3LWmL2_EYHNOR_Xxo8J8FMdfuIFZ178GwGy1DSsg3Vub7nnSgLaYmq8UFoxEaJV7vEOq2lCZD9vP3nLSzd002JkJMhc4dvINsK3wJYM1Qo1atxTpz0oK0HBS19oaLXYs8wLy868cICD5oxZ1FwKRiP8-t3NXZPccVykCmNituKVXWVdMuMxae8RDZUKkRkMLV5lUkUxSuogrejU4qJQqdz7hfLWccj2QGr0K8QC03\",\"summary\":[]}"},{"type":"toolCall","id":"call_XJTOmeysd8Hv5Bo41peqxyKX|fc_00bddaf16c51a121016a2175f3eaa08191be3c3100e676d669","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, subprocess, sqlite3\nmems={m['id']:m for m in json.load(open('/tmp/memory_dryrun_all.json'))}\nfor mid in ['mem_4c13c21c3c514b669055da643e90049a','mem_b161e2e3072a49099cabb17193a4fb15','mem_812ea22ea06d4368bdb66fe531e64fdc']:\n    m=mems[mid]\n    args=['/home/sebas/.agents/skills/memory-write/memory-write','--id',mid,'--type',m['type'],'--scope',m['scope'],'--status','deleted','--title',m['title'],'--content',m['content']]\n    subprocess.run(args,check=True)\nconn=sqlite3.connect('/home/sebas/agents-database/data/shared-agent-memory.sqlite3')\ncur=conn.cursor()\nfor mid in ['mem_4c13c21c3c514b669055da643e90049a','mem_b161e2e3072a49099cabb17193a4fb15','mem_812ea22ea06d4368bdb66fe531e64fdc']:\n    print(cur.execute('select id,status,updated_at from memories where id=?',(mid,)).fetchone())\nPY","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":923,"output":460,"cacheRead":33792,"cacheWrite":0,"totalTokens":35175,"cost":{"input":0.0023075,"output":0.0069,"cacheRead":0.008447999999999999,"cacheWrite":0,"total":0.017655499999999998}},"stopReason":"toolUse","timestamp":1780577775609,"responseId":"resp_00bddaf16c51a121016a2175efd8188191b54be635d57863f6"}}
{"type":"message","id":"2348419c","parentId":"64bef024","timestamp":"2026-06-04T12:56:25.334Z","message":{"role":"toolResult","toolCallId":"call_XJTOmeysd8Hv5Bo41peqxyKX|fc_00bddaf16c51a121016a2175f3eaa08191be3c3100e676d669","toolName":"bash","content":[{"type":"text","text":"{\"id\": \"mem_4c13c21c3c514b669055da643e90049a\", \"type\": \"project\", \"scope\": \"global\", \"status\": \"deleted\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"SSH server idle timeout disabled\", \"content\": \"SSH sessions on this Pi are configured not to expire from server idle timeout by setting ClientAliveInterval to 0 in /etc/ssh/sshd_config.d/99-idle-4h.conf.\", \"summary\": \"SSH sessions on this Pi are configured not to expire from server idle timeout by setting ClientAliveInterval to 0 in /etc/ssh/sshd_config.d/99-idle-4h.conf.\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-06-04T12:56:25.034174+00:00\", \"updated_at\": \"2026-06-04T12:56:25.034174+00:00\", \"observed_at\": \"2026-06-04T12:56:25.034174+00:00\", \"source_ref\": null, \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {}, \"embedding\": null}\n{\"id\": \"mem_b161e2e3072a49099cabb17193a4fb15\", \"type\": \"decision\", \"scope\": \"global\", \"status\": \"deleted\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Server-side SSH idle timeout set to 4h\", \"content\": \"Set server SSH keepalive on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. sshd was restarted and active values verified. This helps all clients connecting to this server; client-side ServerAlive settings may still be needed if a laptop/phone network drops idle TCP state.\", \"summary\": \"Set server SSH keepalive on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. sshd was restarted and active values verifie\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-06-04T12:56:25.157039+00:00\", \"updated_at\": \"2026-06-04T12:56:25.157039+00:00\", \"observed_at\": \"2026-06-04T12:56:25.157039+00:00\", \"source_ref\": null, \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {}, \"embedding\": null}\n{\"id\": \"mem_812ea22ea06d4368bdb66fe531e64fdc\", \"type\": \"project\", \"scope\": \"global\", \"status\": \"deleted\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Server SSH idle timeout raised to 4h\", \"content\": \"Set server-side OpenSSH keepalives on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. Restarted ssh and verified active values with sshd -T. This keeps idle SSH sessions alive longer for all clients connecting to this server, including laptop and phone.\", \"summary\": \"Set server-side OpenSSH keepalives on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. Restarted ssh and verified active \\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-06-04T12:56:25.273225+00:00\", \"updated_at\": \"2026-06-04T12:56:25.273225+00:00\", \"observed_at\": \"2026-06-04T12:56:25.273225+00:00\", \"source_ref\": null, \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {}, \"embedding\": null}\n('mem_4c13c21c3c514b669055da643e90049a', 'deleted', '2026-06-04T12:56:25.034174+00:00')\n('mem_b161e2e3072a49099cabb17193a4fb15', 'deleted', '2026-06-04T12:56:25.157039+00:00')\n('mem_812ea22ea06d4368bdb66fe531e64fdc', 'deleted', '2026-06-04T12:56:25.273225+00:00')\n"}],"isError":false,"timestamp":1780577785334}}
{"type":"message","id":"914a7fe0","parentId":"2348419c","timestamp":"2026-06-04T12:56:28.289Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Verifying active counts**\n\nI’m thinking I need to verify all the created active counts. I wonder if that’s all okay. Going through my to-do list, I want to make sure I’ve completed everything on it. I’m reflecting on if I've missed anything important while checking these counts. It just feels good to make sure everything is in order and up to date! Let’s see how I can confirm that the counts are indeed correct.","thinkingSignature":"{\"id\":\"rs_00bddaf16c51a121016a2175f9f4b08191b30d69a12be3cfda\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqIXX8wYVJkgPt6Nf9Z2LzhzTswHRRiq1z0op0GFzVXVfcMFIGfaZhsTyosUjaq_mpZwIShGolYk8qFc9a2r1NPcrTtpwKy30bSzxPTO_CU51qMcSWpQguBfToWseOo-CeIHSAo8eL3yOT05HZ8ihxb7Q9E3zG3eRgxTM5v0UrxJagl-QMh1KMnpnfIIE1WIQdidO9fsKMAFeqQIx9rTST70pDf58Jr5xsmj2FSz4L5UpV11BpPd4me4eU_UXohApp5Ruiwe3BImqafC8vPMNyb689LwtXji51C_dIfMQhQoSJ2yICwKUpOOhYQXSSyfCm4jWqt06jdoI4bdh3-zBPaG1ajF8ne5A4Lf1XQBFZbvlZ_nYupEgMc1QZ4c_q-HQZdi-MqlECnZ70B7v89-A72-rGXMsAvJwlWDGV-wVoAkEbhPTMeYaW4XyIjR6_R-glY7os8EzxE1CC14IyFbjyO0MU7kxKqGTDGtmSmkhAjUrwj9t7iE0LLoAsu7wc9ZZDu5t0BpDG4TR7AB_wgkvYa2H1wn_3Ui0xOnCgYARcv2rGz805lytqZ-Q9heitmA9mJJc9T9jKZvi7AYLFIiNN8qCKgWiBsKida0XPkxUSDVknKiUgpD_DISXNq7kBein7VsISxjRcm-hCkZh0Od8l8sbds7hQN5H3-U4ReX_YfN8oDMxHRmHdULy5HTQHdBfC9R2THUuSmjMdODFVriw1yDO3wE-EH817dYRRPoud6reCdAsOJqaHtJvZCwheSrngksNJZAev_EefqHuMnRoByw-uKAhEif_0HSvmPrq4YV4ObXyf3Gny7yXoqd4t-ol9wYjwsbDqP3jmZ5lnmtYV5NSpccicZ07b_F_ZQQeV13GYZEyBTclHsiEOjqnU5BvnwsG-SSHMfET6OHchMPPreiLKEYrJgzYAvJLU0y7Mr9lknikFqaSpZchIx8I7AZtytjAwq2jPDNCF5M_EnA-e_hsB9OnFFOcxEZMrA_5Vq50Acg5R1AEmVafy6VW7eSkfslDI\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Verifying active counts**\\n\\nI’m thinking I need to verify all the created active counts. I wonder if that’s all okay. Going through my to-do list, I want to make sure I’ve completed everything on it. I’m reflecting on if I've missed anything important while checking these counts. It just feels good to make sure everything is in order and up to date! Let’s see how I can confirm that the counts are indeed correct.\"}]}"},{"type":"toolCall","id":"call_fFScJYhABthyepb0Z8MivUDB|fc_00bddaf16c51a121016a2175fc168c8191a6c671e311242a6a","name":"todo","arguments":{"action":"update","id":2,"status":"completed"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2110,"output":45,"cacheRead":34304,"cacheWrite":0,"totalTokens":36459,"cost":{"input":0.005275,"output":0.000675,"cacheRead":0.008576,"cacheWrite":0,"total":0.014526}},"stopReason":"toolUse","timestamp":1780577785335,"responseId":"resp_00bddaf16c51a121016a2175f9695c8191a742c892c3576f7c"}}
{"type":"message","id":"c34cb678","parentId":"914a7fe0","timestamp":"2026-06-04T12:56:28.291Z","message":{"role":"toolResult","toolCallId":"call_fFScJYhABthyepb0Z8MivUDB|fc_00bddaf16c51a121016a2175fc168c8191a6c671e311242a6a","toolName":"todo","content":[{"type":"text","text":"Updated #2 (pending → completed)"}],"details":{"action":"update","params":{"action":"update","id":2,"status":"completed"},"tasks":[{"id":1,"subject":"Dry run consolidate all memories with new heuristic","status":"completed","description":"Read all existing memories, apply current consolidation heuristic without writing changes, and report keep/merge/rewrite/drop recommendations across all memories.","activeForm":"dry-running memory consolidation"},{"id":2,"subject":"Execute memory consolidation across all memories","status":"completed","description":"Apply approved consolidation plan to all memories using current heuristic, incorporating user clarifications that SSH timeout is fully removed and storage issue was mostly solved by reinstalling to a larger microSD.","activeForm":"consolidating memories"}],"nextId":3},"isError":false,"timestamp":1780577788291}}
{"type":"message","id":"866aa73f","parentId":"c34cb678","timestamp":"2026-06-04T12:56:34.039Z","message":{"role":"assistant","content":[{"type":"text","text":"Listo.\n\nEjecuté consolidación real.\n\n### Hecho\n- **181 memorias** marcadas `deleted`\n- **8 memorias** nuevas/consolidadas\n- conflicto de SSH corregido con tu aclaración\n- storage actualizado con tu aclaración\n\n### Lo que podé\n- `legacy_task_*`\n- `legacy_run_*`\n- `legacy_claim_*`\n- `legacy_source_*`\n- episodios crudos tipo `sebas: ...`\n- algunos duplicados/supersedidos\n\n### Lo que consolidé\nCreé memorias nuevas para:\n- policy de acceso laptop/tailnet\n- SSH sin idle timeout\n- storage resuelto mostly por microSD más grande\n- bundle legacy Ballbox payment research\n- bundle legacy display sourcing\n- bundle legacy fullscreen overlay research\n- bundle legacy public-reference research\n- episodio de consolidación 2026-06-04\n\n### Nota\nEsto fue consolidación operativa, no\narchivo histórico perfecto.\nPriorizó señal > trazabilidad granular.\n\nSi querés, próximo paso:\n- hago un **post-check**\n- te digo qué memorias activas siguen\n  viéndose medio redundantes todavía.","textSignature":"{\"v\":1,\"id\":\"msg_00bddaf16c51a121016a2175fd7d308191a2fe005668c9b38b\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":637,"output":249,"cacheRead":35840,"cacheWrite":0,"totalTokens":36726,"cost":{"input":0.0015925000000000002,"output":0.003735,"cacheRead":0.00896,"cacheWrite":0,"total":0.0142875}},"stopReason":"stop","timestamp":1780577788292,"responseId":"resp_00bddaf16c51a121016a2175fc60688191a44652a254ba81fa"}}
{"type":"message","id":"16580b7c","parentId":"866aa73f","timestamp":"2026-06-04T13:03:19.008Z","message":{"role":"user","content":[{"type":"text","text":"[telegram] ok"}],"timestamp":1780578199005}}
{"type":"message","id":"22835592","parentId":"16580b7c","timestamp":"2026-06-04T13:03:21.381Z","message":{"role":"assistant","content":[{"type":"text","text":"Bien.","textSignature":"{\"v\":1,\"id\":\"msg_00bddaf16c51a121016a2177991d2c81918ceb3cf59621e039\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":14922,"output":6,"cacheRead":20992,"cacheWrite":0,"totalTokens":35920,"cost":{"input":0.037305000000000005,"output":0.00009,"cacheRead":0.005248,"cacheWrite":0,"total":0.04264300000000001}},"stopReason":"stop","timestamp":1780578199010,"responseId":"resp_00bddaf16c51a121016a217797adfc8191b74e467f05fb79b2"}}
{"type":"message","id":"a7474d4c","parentId":"22835592","timestamp":"2026-06-04T13:08:29.950Z","message":{"role":"user","content":[{"type":"text","text":"/new"}],"timestamp":1780578509949}}
{"type":"message","id":"d0854b37","parentId":"a7474d4c","timestamp":"2026-06-04T13:08:32.178Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_wD7Zwli53kzCpyIF2UFcX7wH|fc_00bddaf16c51a121016a2178cf9134819190e784a30092d41f","name":"bash","arguments":{"command":"/home/sebas/pi-config/bin/pi-telegram-new-session","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":35918,"output":35,"cacheRead":0,"cacheWrite":0,"totalTokens":35953,"cost":{"input":0.08979500000000001,"output":0.000525,"cacheRead":0,"cacheWrite":0,"total":0.09032000000000001}},"stopReason":"toolUse","timestamp":1780578509951,"responseId":"resp_00bddaf16c51a121016a2178ce92ac81918eeea6b45561c4d3"}}
{"type":"message","id":"697b1575","parentId":"d0854b37","timestamp":"2026-06-04T13:08:32.187Z","message":{"role":"toolResult","toolCallId":"call_wD7Zwli53kzCpyIF2UFcX7wH|fc_00bddaf16c51a121016a2178cf9134819190e784a30092d41f","toolName":"bash","content":[{"type":"text","text":"queued new Telegram Pi session: pi-telegram\n"}],"isError":false,"timestamp":1780578512187}}
{"type":"message","id":"c08f8ae6","parentId":"697b1575","timestamp":"2026-06-04T13:08:33.841Z","message":{"role":"assistant","content":[{"type":"text","text":"Sesión rotada.","textSignature":"{\"v\":1,\"id\":\"msg_00bddaf16c51a121016a2178d19cf08191be51cafed524ef51\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":132,"output":9,"cacheRead":35840,"cacheWrite":0,"totalTokens":35981,"cost":{"input":0.00033000000000000005,"output":0.000135,"cacheRead":0.00896,"cacheWrite":0,"total":0.009425}},"stopReason":"stop","timestamp":1780578512188,"responseId":"resp_00bddaf16c51a121016a2178d04f4481919d5dd2cd64e4b2d9"}}