endpoint:
{
  "active_sessions": 1,
  "updated_at": "2026-04-30T23:44:29Z"
}
---
page:
35:
Sesiones activas —

36:        Actualizando…
54:      const countEl = document.getElementById('pi-job-count');
55:      const updatedEl = document.getElementById('pi-job-updated');


Listo.

## Estado ahora
Endpoint:
```json
{
  "active_sessions": 1,
  "updated_at": "2026-04-30T23:44:29Z"
}
```

## Qué hice
Levanté una sesión temporal:
- `pi-job-visual-test`

Dura ~25s. Durante ese tiempo el home debería mostrar `1`.

## Ver
- http://ballbox-first.emperor-ratio.ts.net/
- http://ballbox-first.emperor-ratio.ts.net/pi-job-status.json

Cuando termine, vuelve a `0`.


Funciona bien. Ahora lo que me envola es que tengo la página instalada en mi celular como una PWA y no encuentro la manera de hacerle refresh en el iPhone. Tengo que cerrarla y abrirla.


**Explaining PWA limitations**

I need to clarify the limitations of iOS regarding Progressive Web Apps (PWAs). I should mention the potential for implementing features like a pull-to-refresh or an add button, and maybe suggest an auto-refresh option with updates every 10 seconds. It’s also a good idea to check with the user if they’d like to incorporate a refresh button as part of the design. Let's make sure they have all the options to enhance usability!

Sí. iPhone PWA standalone es medio chota con eso.

## Qué pasa
En iOS, cuando abrís una web “instalada”:
- no siempre tenés gesture clara de refresh
- Safari normal sí, pero PWA standalone no tanto
- muchas veces hay que cerrarla y reabrirla

## Opciones buenas

### 1. Pull-to-refresh custom
Podemos agregar soporte simple en la home:
- arrastrás hacia abajo
- recarga la página o refresca los datos

### 2. Botón visible de refresh
Más simple y confiable.
Ejemplo:
- botón `↻ Actualizar`
- hace `location.reload()` o solo refresca el contador

### 3. Auto-refresh más agresivo
Ya actualiza cada 10s el contador.
Si tu problema es solo ese dato, no hace falta recargar toda la app.

## Recomendación
Meter:
- botón refresh
- opcional pull-to-refresh después

Es lo más práctico en iPhone PWA.

Si querés, te agrego ahora un botón chico arriba a la derecha.


Ahora voy a irme de casa y esta sesión probablemente se cierre, pero quiero que abras un job que tenga como objetivo validar los últimos cambios de el agents database. Estos cambios arregaban procesamiento automático en el background para consolidar y promover memorias y parece que no está andando, así que el objetivo es que quede todo lo que se agregó andando para que el job funcione mejor y cumpla con la definition of done, incentiválo que abra sus propios jobs para que vayan haciendo subtareas así y no corta de manera adelantada que es un problema que suele suceder con los agentes. Si tenes dudas este es tu momento.


**Clarifying job scope**

I need to ensure there's no ambiguity that could change the scope of my task. It would be helpful to know the repository path for the agents-database, which I might infer is a local service.

I'll probably need to start the job in the proper current working directory and consider searching through memories or relevant contexts. If the path is unclear, I might ask a specific question. It seems essential to inspect the likely repository path soon.

bash

find /mnt/rpi /home/sebas -maxdepth 4 -type d \( -name '.git' -o -name 'agents-database' \) 2>/dev/null | sed 's#/.git$##' | sort | uniq | grep 'agents-database' | head -n 50


/mnt/rpi/agents-database
/mnt/rpi/service-backups/agents-database


Fix GitHub credential automation so repo pushes and PR creation use the intended account reliably

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 design a safer simpler script or convention.

push uses intended GitHub account without token workarounds

PR creation works consistently across public and private repos

documented operator flow is simpler than the current state

User confirmed this credential automation task is post-V1 and not a blocker for V1 closeout.

PR creation required direct credential workarounds; automation should simplify this later

Local readiness is partial: repo docs and runtime surface exist, current status API works, but full verification is not yet proven in this sandbox.

error: unexpected argument '--ask-for-approval' found

  tip: to pass '--ask-for-approval' as a value, use '-- --ask-for-approval'

Usage: codex exec --sandbox <SANDBOX_MODE> [PROMPT]

For more information, try '--help'.

Handoff personal-agent -> ai-dev-workflow

ai-dev-workflow accepted the handoff and persisted intake context.

Handoff personal-agent -> implementation-agent

Finish remaining V1 migration and GitHub cross-reference work

Finished legacy bridge and V1 multi-repo cross-reference work; shared DB now contains the resume anchors and completion artifacts.

Execution state snapshot

CLI Smoke Readiness Summary

## Findings
- 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`.
- 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.
- 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.
- 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.
- Confirmed from docs/scripts: the only declared repo gate is `./scripts/run-checks.sh`, which runs `python3 -m unittest discover -s tests`.
- 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`.
- 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.
- 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.

## Risks
- Main near-term risk is false confidence from static docs plus partial command success while writable-path and temp-dir assumptions remain unverified.
- Working tree is dirty, so the codex CLI fix appears in progress but not yet fully validated by a successful full gate.

## Recommended Next Action
- 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.

Execution Plan

# Plan for Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordinati...

- Route: personal
- Secondary route: code
- Planning source: codex
- Codex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.

## Subtasks
- Collect readiness signals
- Write smoke summary
- Propose one coordination step

Normalized Intent

Request: Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.
Primary route: personal
Secondary route: code
Reason: Planning/synthesis task with light repo-readiness context; no external action.
Planning source: codex
Codex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.
Relevant memory:
- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Sebas desired relationship with money [mem_sebas_money_relationship]

Execution Plan

# Plan for Smoke task: summarize current system readiness and suggest one safe internal coordination step on...

- Route: personal
- Planning source: fallback

## Subtasks
- Clarify objective and constraints
- Gather context and evidence
- Produce final recommendation

Normalized Intent

Request: Smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.
Primary route: personal
Secondary route: none
Reason: default personal route
Planning source: fallback
Relevant memory:
- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Sebas desired relationship with money [mem_sebas_money_relationship]

Handoff result from ai-dev-workflow

Execution Plan

# Plan for Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and...

- Route: code
- Planning source: fallback
- Delegation target: ai-dev-workflow

## Subtasks
- Inspect technical context
- Delegate code execution
- Summarize technical outcome

Normalized Intent

Request: Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.
Primary route: code
Secondary route: none
Reason: code work (repo)
Planning source: fallback
Relevant memory:
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]
- Research run: Production-readiness plan for ballbox-payment-integration [legacy_run_35bd54a1-0135-414e-9c6b-245fca772f54]

Handoff result from ai-dev-workflow

Execution Plan

# Plan for Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal ne...

- Route: code
- Planning source: fallback
- Delegation target: ai-dev-workflow

## Subtasks
- Inspect technical context
- Delegate code execution
- Summarize technical outcome

Normalized Intent

Request: Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.
Primary route: code
Secondary route: none
Reason: code work (fix)
Planning source: fallback
Relevant memory:
- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]
- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]
- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]

Execution Plan

# Plan for Smoke test: summarize current V1 readiness and recommend the next safe internal step without exte...

- Route: personal
- Planning source: fallback

## Subtasks
- Clarify objective and constraints
- Gather context and evidence
- Produce final recommendation

Normalized Intent

Request: Smoke test: summarize current V1 readiness and recommend the next safe internal step without external side effects.
Primary route: personal
Secondary route: none
Reason: default personal route
Planning source: fallback
Relevant memory:
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]
- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]

V1 final closeout

# V1 Closeout

## Outcome
V1 is complete.

`personal-agent` now operates as the shared-memory front door with:
- shared operational state in `agents-database`
- intake planning and runtime orchestration backed by Codex outputs
- daemon/dashboard surfaces for status, blockers, approvals, and next actions
- approval resolution with automatic resume
- stable subagent handoff contract for `ai-dev-workflow` and `ballbox-company-agent`
- legacy bridge for old personal-agent research/task inspection
- documented sandbox write convention for canonical shared DB access

## Verification
- local repo gate: `./scripts/run-checks.sh` passed with 26 tests
- direct suite: `python3 -m pytest tests/test_personal.py` passed with 26 tests
- PR CI: run `23112079488` passed on 2026-03-15 (`unit-tests`)

## Runtime use cases covered by tests
- intake creates operational task, subtasks, and specialist handoff
- Codex planning path and fallback path
- worker terminal outcomes: `complete`, `needs_approval`, `blocked`
- approval resolution paths: `approved` resumes and completes; `rejected` stays blocked
- structured runtime actions: follow-up task, handoff, artifact
- dashboard snapshot enrichment: summary, next action, latest run, pending approval, route summary
- end-to-end flow: intake -> approval -> resume -> complete
- Codex command wiring includes `--add-dir /Users/sebas/agents-database`
- handoff dispatch completion persists result artifact
- preference blocker can resolve from memory without human input
- daemon API surface covers status, intake, blocker response, and approval resolution
- CLI accepts `--json` before or after subcommands

## Scope boundary
- task `task_33d854e72d094660a2fb293a8723f5c5` is explicitly post-V1 follow-up, not a V1 blocker
- remaining work after V1 should continue as follow-up capabilities and operator hardening, not as part of this milestone

Phase 2 closeout brief

Phase 2 closeout:
- structured runtime actions implemented
- approval loop resolves and resumes
- execution_state snapshots persisted
- dashboard/status surfaces expose next actions and latest run state
- end-to-end runtime tests cover intake -> approval -> resume -> complete

Credential automation follow-up note

Low-priority follow-up. During multi-repo PR prep, git push and gh PR creation hit mixed-account behavior. Temporary workaround used direct credential injection. Future work should simplify and harden this flow instead of relying on manual recovery steps.


**Evaluating tasks**

I'm considering whether I should read my memory, but probably I don’t need to. Instead, I think I need to create a job with a rich prompt. That seems more relevant at the moment. Maybe I should also check the status of the repository branch? Getting a clearer picture of that would be helpful for my tasks! I'll keep this in mind as I continue my work.

cd /mnt/rpi/agents-database && git status --short && git branch --show-current && git rev-parse --short HEAD && find . -maxdepth 2 \( -name 'README*' -o -name 'AGENTS.md' -o -path './scripts/*' -o -path './bin/*' -o -path './tests/*' \) | sort | sed -n '1,200p'


 M data/shared-agent-memory.sqlite3
?? scripts/export-db-snapshot-html.py
feat/memory-promotion-automation-clean
d2c7d58
./.pytest_cache/README.md
./scripts/export-db-snapshot-html.py
./scripts/run-http-api.sh
./scripts/run-maintenance-daemon.sh
./tests/conftest.py
./tests/__pycache__
./tests/test_memory_service.py


ENOENT: no such file or directory, access '/mnt/rpi/agents-database/AGENTS.md'


**Considering job instructions**

I think I might not need any AGENTS for this task. I would start the job using a prompt that contains the necessary instructions. It seems like I could use our pi-job-start from that repository. I should also include the Definition of Done (DoD). Additionally, I might mention the dirty database file to avoid committing it. Let's get going on that!

cd /mnt/rpi/pi-config && ./bin/pi-job-start --cwd /mnt/rpi/agents-database --name validate-memory-promotion --prompt-file /dev/stdin <<'EOF'
You are validating and fixing the latest agents-database changes on branch feat/memory-promotion-automation-clean.

Primary objective:
- The new automatic background processing for memory consolidation and promotion appears broken.
- Leave the repo with that added functionality actually working end to end.

Definition of done:
1. Find the intended flow for automatic consolidation/promotion/background processing.
2. Reproduce the current failure with concrete evidence.
3. Fix the broken pieces.
4. Validate end to end with runnable evidence, not just static reasoning.
5. Update any needed docs/scripts/tests to match the final behavior.
6. End with a concise summary in the final output including: root cause, files changed, validation run, and any residual risk.

Important operating rules:
- Work in /mnt/rpi/agents-database.
- Do not push or merge.
- Be careful not to commit or rely on transient DB contents from data/shared-agent-memory.sqlite3 unless truly required. That file is already dirty; avoid making the situation worse.
- Prefer minimal, robust fixes.
- Do not stop early. Keep going until the definition of done is met or you hit a real blocker.
- If useful, create your own tmux pi jobs for long-running or parallelizable subtasks using the native wrappers in /mnt/rpi/pi-config/bin:
  - pi-job-start
  - pi-job-check
  - pi-job-wait
  - pi-job-list
  - pi-job-stop
  Use them when they help you avoid blocking or to split investigation/validation work.
- Since this run is one-prompt only, self-manage aggressively: inspect logs/tests/scripts, form a plan, execute, validate, and summarize.
- For waiting/poll cadence, choose adaptively based on what you observe. Nothing is fixed for you.

Suggested first steps:
- Inspect git diff/status and relevant scripts/tests for the automation changes.
- Search for maintenance/background/consolidate/promote flows.
- Reproduce with the smallest meaningful command.
- Add or update tests that would have caught the bug.

When done, print a crisp final report with commands run and their outcomes.
EOF


prompt file not found: /dev/stdin

Command exited with code 1


cd /mnt/rpi/pi-config && PROMPT=$(cat <<'EOF'
You are validating and fixing the latest agents-database changes on branch feat/memory-promotion-automation-clean.

Primary objective:
- The new automatic background processing for memory consolidation and promotion appears broken.
- Leave the repo with that added functionality actually working end to end.

Definition of done:
1. Find the intended flow for automatic consolidation/promotion/background processing.
2. Reproduce the current failure with concrete evidence.
3. Fix the broken pieces.
4. Validate end to end with runnable evidence, not just static reasoning.
5. Update any needed docs/scripts/tests to match the final behavior.
6. End with a concise summary in the final output including: root cause, files changed, validation run, and any residual risk.

Important operating rules:
- Work in /mnt/rpi/agents-database.
- Do not push or merge.
- Be careful not to commit or rely on transient DB contents from data/shared-agent-memory.sqlite3 unless truly required. That file is already dirty; avoid making the situation worse.
- Prefer minimal, robust fixes.
- Do not stop early. Keep going until the definition of done is met or you hit a real blocker.
- If useful, create your own tmux pi jobs for long-running or parallelizable subtasks using the native wrappers in /mnt/rpi/pi-config/bin:
  - pi-job-start
  - pi-job-check
  - pi-job-wait
  - pi-job-list
  - pi-job-stop
  Use them when they help you avoid blocking or to split investigation/validation work.
- Since this run is one-prompt only, self-manage aggressively: inspect logs/tests/scripts, form a plan, execute, validate, and summarize.
- For waiting/poll cadence, choose adaptively based on what you observe. Nothing is fixed for you.

Suggested first steps:
- Inspect git diff/status and relevant scripts/tests for the automation changes.
- Search for maintenance/background/consolidate/promote flows.
- Reproduce with the smallest meaningful command.
- Add or update tests that would have caught the bug.

When done, print a crisp final report with commands run and their outcomes.
EOF
) && ./bin/pi-job-start --cwd /mnt/rpi/agents-database --name validate-memory-promotion --prompt "$PROMPT"


job_id=20260430T235040Z-validate-memory-promotion
session=pi-job-20260430T235040Z-validate-memory-promotion
cwd=/mnt/rpi/agents-database
job_dir=/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion
log=/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log
status=queued
tmux_pid=


**Considering user instructions**

I think I should guide the user on how to check the information they're looking for. It might be helpful to wait a short moment to ensure everything has started properly before providing an initial status update. This way, I can give them the most accurate information. It seems like being patient could prevent confusion and enhance their experience.

cd /mnt/rpi/pi-config && ./bin/pi-job-check 20260430T235040Z-validate-memory-promotion --lines 40


job_id=20260430T235040Z-validate-memory-promotion
session=pi-job-20260430T235040Z-validate-memory-promotion
cwd=/mnt/rpi/agents-database
job_dir=/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion
status=running
tmux_alive=yes
started_at=2026-04-30T23:50:40Z
finished_at=
exit_code=
log=/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log
--- log tail (40) ---
Warning: No models match pattern "nvidia/nvidia/nemotron-4-340b-instruct"
Warning: No models match pattern "nvidia/minimaxai/minimax-m2.7"


Listo.

Job abierto:
- `20260430T235040Z-validate-memory-promotion`

Estado ahora:
- `running`

Ruta:
- repo: `/mnt/rpi/agents-database`
- log: `/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log`

Le dejé claro:
- validar y arreglar la automatización de consolidación/promoción
- no cortar antes de tiempo
- reproducir falla
- fix mínimo y robusto
- validar end-to-end
- usar sus propios `pi-job-*` si le conviene para subtareas
- no push / no merge
- cuidar el sqlite sucio

Cuando vuelvas, chequeás así:
```bash
/mnt/rpi/pi-config/bin/pi-job-check 20260430T235040Z-validate-memory-promotion
```

O esperar bloqueando:
```bash
/mnt/rpi/pi-config/bin/pi-job-wait 20260430T235040Z-validate-memory-promotion --poll-seconds 15
```

Si querés ver el log directo:
```bash
tail -f /mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log
```


como salio?


cd /mnt/rpi/pi-config && ./bin/pi-job-check 20260430T235040Z-validate-memory-promotion --lines 120

cd /mnt/rpi/agents-database && git status --short && git diff --stat


job_id=20260430T235040Z-validate-memory-promotion
session=pi-job-20260430T235040Z-validate-memory-promotion
cwd=/mnt/rpi/agents-database
job_dir=/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion
status=succeeded
tmux_alive=no
started_at=2026-04-30T23:50:40Z
finished_at=2026-04-30T23:53:35Z
exit_code=0
log=/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log
--- log tail (120) ---
Warning: No models match pattern "nvidia/nvidia/nemotron-4-340b-instruct"
Warning: No models match pattern "nvidia/minimaxai/minimax-m2.7"
Done.

Root cause:
- `scripts/run-maintenance-daemon.sh` was broken.
- It launched `python3 -m shared_agent_memory.cli` without repo `PYTHONPATH`.
- From a normal repo checkout, that crashed with `ModuleNotFoundError: No module named 'shared_agent_memory'`.
- Result: background consolidation/promotion daemon never started, so automatic maintenance depended only on opportunistic in-process hooks.

Intended flow found:
- `MemoryService` seeds `maintenance_jobs`.
- Due jobs run via `MemoryEngine.run_due_maintenance()`.
- Trigger paths:
  - long-lived daemon: `maintenance-daemon`
  - startup catch-up: `MemoryService.__init__`
  - write-time catch-up: `_run_opportunistic_maintenance()`
- Consolidation/promotion logic lives in `MemoryService.consolidate_candidates()`.

Concrete failure reproduced:
- Command:
  - `bash scripts/run-maintenance-daemon.sh --help`
- Before fix:
  - `/usr/bin/python3: Error while finding module specification for 'shared_agent_memory.cli' (ModuleNotFoundError: No module named 'shared_agent_memory')`

Fixes made:
- `scripts/run-maintenance-daemon.sh`
  - export `PYTHONPATH=$REPO_ROOT/src`
  - prefer `./.venv/bin/python`
  - pass through extra CLI args like `--once` / `--job-id`
  - restored executable bit
- `systemd/user/agents-database-maintenance.service`
  - added missing versioned maintenance service file
- `tests/test_memory_service.py`
  - added subprocess test for wrapper end-to-end from repo checkout
  - added presence check for versioned systemd service file

Files changed:
- `scripts/run-maintenance-daemon.sh`
- `systemd/user/agents-database-maintenance.service`
- `tests/test_memory_service.py`

Validation run:
- Tests:
  - `.venv/bin/python -m pytest -q tests/test_memory_service.py`
  - result: `20 passed`
- Wrapper daemon smoke test:
  - `DB_PATH=/tmp/agents-db-maint-test.sqlite3 INTERVAL_SECONDS=1 JITTER_SECONDS=0 bash scripts/run-maintenance-daemon.sh --once --job-id job_consolidation_daily_10`
  - result: maintenance job completed successfully with JSON output
- End-to-end auto-promotion check:
  - temp DB, due job set, created high-confidence inbox memory
  - result: `{'memory_status': 'active', 'job_last_status': 'completed', 'run_count': 1}`

Residual risk:
- The versioned systemd service still hardcodes `/home/sebas/agents-database`, same style as existing HTTP service. Fine if installed there; if this checkout is run directly from `/mnt/rpi/agents-database`, install path must match or be adjusted at install time.
- I did not touch the dirty `data/shared-agent-memory.sqlite3` DB.


 M data/shared-agent-memory.sqlite3
 M scripts/run-maintenance-daemon.sh
 M tests/test_memory_service.py
?? scripts/export-db-snapshot-html.py
?? systemd/user/agents-database-maintenance.service
 data/shared-agent-memory.sqlite3  | Bin 5517312 -> 5836800 bytes
 scripts/run-maintenance-daemon.sh |  15 +++++++++++++--
 tests/test_memory_service.py      |  37 +++++++++++++++++++++++++++++++++++++
 3 files changed, 50 insertions(+), 2 deletions(-)


Salió bien.

## Resultado
- job: `20260430T235040Z-validate-memory-promotion`
- estado: `succeeded`
- exit code: `0`

## Hallazgo principal
Root cause:
- `scripts/run-maintenance-daemon.sh` estaba roto.
- Corría `python3 -m shared_agent_memory.cli` sin `PYTHONPATH` al repo.
- Eso disparaba:
  - `ModuleNotFoundError: No module named 'shared_agent_memory'`
- Consecuencia:
  - el daemon de consolidación/promoción no arrancaba
  - la automatización en background no funcionaba

## Cambios hechos
Archivos tocados por el job:
- `scripts/run-maintenance-daemon.sh`
- `tests/test_memory_service.py`
- `systemd/user/agents-database-maintenance.service` nuevo

## Validación
Corrió y reportó:

- `pytest`:
  - `20 passed`
- smoke test del wrapper:
  - OK
- check end-to-end de auto-promoción:
  - OK
  - resultado final:
    - `memory_status=active`
    - `job_last_status=completed`
    - `run_count=1`

## Riesgo residual
- El service file nuevo hardcodea `/home/sebas/agents-database`.
- Si el servicio real se instala/apunta a `/mnt/rpi/agents-database`, hay que ajustar eso.

## Estado del repo
Quedó con estos cambios:
- `M scripts/run-maintenance-daemon.sh`
- `M tests/test_memory_service.py`
- `?? systemd/user/agents-database-maintenance.service`

Y sigue sucio además:
- `M data/shared-agent-memory.sqlite3`
- `?? scripts/export-db-snapshot-html.py`

## Log
Si querés leer el reporte completo del job:
```bash
cat /mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log
```

Si querés, ahora hago yo una revisión rápida de esos diffs y te digo si los mergearía así o si conviene un ajuste más.


el reporte que guarda?


Guarda el output completo del job.

En este caso, el “reporte” está en:
- `/mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log`

También guarda metadata separada en esa carpeta:
- `meta.env`
- `prompt.txt`
- `status`
- `exit_code`
- `started_at`
- `finished_at`

O sea:

- `output.log`: reporte textual completo
- `prompt.txt`: qué instrucción recibió
- `status` / `exit_code`: resultado final
- `meta.env`: cwd, session, job_id
- timestamps: cuándo arrancó y terminó

Ver carpeta:
```bash
ls -la /mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion
```

Ver reporte:
```bash
cat /mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log
```


ah el log es todo el texto de la sesion tmux?


Sí, en este workflow sí.

Pero con precisión:

- no es un dump crudo de toda la pantalla de tmux
- es el stdout/stderr del comando que corre dentro de esa sesión tmux

Acá el comando fue el runner que ejecuta:
```bash
pi --no-extensions -p "<prompt>"
```

Entonces `output.log` guarda:
- warnings
- razonamiento visible que imprima `pi`
- respuesta final
- errores / stack traces si pasan

No guarda por ahora:
- snapshots visuales del pane
- scrollback completo de tmux como terminal
- input interactivo adicional, porque no hay sesión interactiva real después del prompt inicial

Si querés, después puedo agregar modo 2:
- además del log de stdout/stderr
- guardar capturas de pane tmux con `tmux capture-pane`

Pero hoy:
- `output.log` = salida textual completa del proceso dentro de tmux.


usa un subagente con modelo gemini para leer todo el log y que te de un resumen


subagent

Read and summarize the full log of a completed tmux pi job. Use model Gemini. Focus on: objective, actions taken, root cause, files changed, validation evidence, residual risks, and anything suspicious or incomplete. Log path: /mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log

You are a log summarizer. Read the full log file carefully and produce a compact but complete summary with sections: Objective, What happened, Root cause, Changes made, Validation, Risks, Open questions. Do not invent anything not present in the log. Keep it concise.

Read /mnt/rpi/pi-jobs/jobs/20260430T235040Z-validate-memory-promotion/output.log completely, continuing with offsets as needed, then summarize it per the requested sections.


Agent failed: Warning: No models match pattern "nvidia/nvidia/nemotron-4-340b-instruct"
No API key found for google.

Use /login to log into a provider via OAuth or API key. See:
  /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md
  /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md
file:///home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/runner.js:296
            throw new Error(this.staleMessage);
            ^

Error: This extension ctx is stale after session replacement or reload. Do not use a captured pi or command ctx after ctx.newSession(), ctx.fork(), ctx.switchSession(), or ctx.reload(). For newSession, fork, and switchSession, move post-replacement work into withSession and use the ctx passed to withSession. For reload, do not use the old ctx after await ctx.reload().
    at ExtensionRunner.assertActive (file:///home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/runner.js:296:19)
    at get sessionManager (file:///home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/runner.js:393:24)
    at WebSocket.<anonymous> (/home/sebas/.npm-global/lib/node_modules/pi-tau-mux/extensions/tau-client.ts:41:23)
    at WebSocket.emit (node:events:519:28)
    at WebSocket.setSocket (/home/sebas/.npm-global/lib/node_modules/pi-tau-mux/node_modules/ws/lib/websocket.js:252:10)
    at ClientRequest.<anonymous> (/home/sebas/.npm-global/lib/node_modules/pi-tau-mux/node_modules/ws/lib/websocket.js:1017:15)
    at ClientRequest.emit (node:events:519:28)
    at Socket.socketOnData (node:_http_client:654:11)
    at Socket.emit (node:events:519:28)
    at addChunk (node:internal/streams/readable:561:12)
    at readableAddChunkPushByteMode (node:internal/streams/readable:512:3)
    at Readable.push (node:internal/streams/readable:392:5)
    at TCP.onStreamRead (node:internal/stream_base_commons:189:23)

Node.js v22.22.0


Warning: No models match pattern "nvidia/nvidia/nemotron-4-340b-instruct"
Warning: No models match pattern "nvidia/minimaxai/minimax-m2.7"
Done.

Root cause:
- `scripts/run-maintenance-daemon.sh` was broken.
- It launched `python3 -m shared_agent_memory.cli` without repo `PYTHONPATH`.
- From a normal repo checkout, that crashed with `ModuleNotFoundError: No module named 'shared_agent_memory'`.
- Result: background consolidation/promotion daemon never started, so automatic maintenance depended only on opportunistic in-process hooks.

Intended flow found:
- `MemoryService` seeds `maintenance_jobs`.
- Due jobs run via `MemoryEngine.run_due_maintenance()`.
- Trigger paths:
  - long-lived daemon: `maintenance-daemon`
  - startup catch-up: `MemoryService.__init__`
  - write-time catch-up: `_run_opportunistic_maintenance()`
- Consolidation/promotion logic lives in `MemoryService.consolidate_candidates()`.

Concrete failure reproduced:
- Command:
  - `bash scripts/run-maintenance-daemon.sh --help`
- Before fix:
  - `/usr/bin/python3: Error while finding module specification for 'shared_agent_memory.cli' (ModuleNotFoundError: No module named 'shared_agent_memory')`

Fixes made:
- `scripts/run-maintenance-daemon.sh`
  - export `PYTHONPATH=$REPO_ROOT/src`
  - prefer `./.venv/bin/python`
  - pass through extra CLI args like `--once` / `--job-id`
  - restored executable bit
- `systemd/user/agents-database-maintenance.service`
  - added missing versioned maintenance service file
- `tests/test_memory_service.py`
  - added subprocess test for wrapper end-to-end from repo checkout
  - added presence check for versioned systemd service file

Files changed:
- `scripts/run-maintenance-daemon.sh`
- `systemd/user/agents-database-maintenance.service`
- `tests/test_memory_service.py`

Validation run:
- Tests:
  - `.venv/bin/python -m pytest -q tests/test_memory_service.py`
  - result: `20 passed`
- Wrapper daemon smoke test:
  - `DB_PATH=/tmp/agents-db-maint-test.sqlite3 INTERVAL_SECONDS=1 JITTER_SECONDS=0 bash scripts/run-maintenance-daemon.sh --once --job-id job_consolidation_daily_10`
  - result: maintenance job completed successfully with JSON output
- End-to-end auto-promotion check:
  - temp DB, due job set, created high-confidence inbox memory
  - result: `{'memory_status': 'active', 'job_last_status': 'completed', 'run_count': 1}`

Residual risk:
- The versioned systemd service still hardcodes `/home/sebas/agents-database`, same style as existing HTTP service. Fine if installed there; if this checkout is run directly from `/mnt/rpi/agents-database`, install path must match or be adjusted at install time.
- I did not touch the dirty `data/shared-agent-memory.sqlite3` DB.


No pude usar Gemini.

Falló por dos cosas:
- no hay API key/login para Google en esta máquina
- además saltó el bug viejo de extensiones stale

Error clave:
- `No API key found for google`

Igual leí el log yo. Resumen:

## Objetivo
Validar y arreglar la automatización de consolidación/promoción de memorias en `agents-database`.

## Qué pasó
Encontró que el flujo existía, pero el daemon de mantenimiento no arrancaba desde un checkout normal.

## Root cause
`scripts/run-maintenance-daemon.sh` corría:
- `python3 -m shared_agent_memory.cli`

sin:
- `PYTHONPATH` apuntando a `src/`

Entonces rompía con:
- `ModuleNotFoundError: No module named 'shared_agent_memory'`

Consecuencia:
- el background processing nunca arrancaba
- la consolidación/promoción automática quedaba dependiendo solo de hooks oportunistas en proceso

## Cambios hechos
- `scripts/run-maintenance-daemon.sh`
  - exporta `PYTHONPATH=$REPO_ROOT/src`
  - prefiere `./.venv/bin/python`
  - deja pasar args como `--once` y `--job-id`
  - recupera executable bit
- `systemd/user/agents-database-maintenance.service`
  - agrega el service file versionado faltante
- `tests/test_memory_service.py`
  - agrega test subprocess end-to-end del wrapper
  - agrega test de presencia del service file

## Validación
- `pytest`:
  - `.venv/bin/python -m pytest -q tests/test_memory_service.py`
  - `20 passed`
- smoke test wrapper:
  - OK
- check end-to-end auto-promotion:
  - OK
  - resultado:
    - `memory_status: active`
    - `job_last_status: completed`
    - `run_count: 1`

## Riesgos
- el service file nuevo hardcodea `/home/sebas/agents-database`
- no tocó `data/shared-agent-memory.sqlite3`, que ya estaba sucio

Si querés, próximo paso:
- reviso los diffs concretos de esos archivos y te digo si hay algo para pulir antes de commit.


y ahora lo ves andando?


**Checking service status**

I need to gather some current evidence to determine if something is actively running or not. It might help if I inspect the service status more closely. I'll take a quick look into this to see what I can find out. It's important to ensure everything is functioning properly, so I'll stay on top of that while I check. Let’s see what the status reveals!

bash

cd /mnt/rpi/agents-database && DB_PATH=/tmp/agents-db-maint-check.sqlite3 INTERVAL_SECONDS=1 JITTER_SECONDS=0 bash scripts/run-maintenance-daemon.sh --once --job-id job_consolidation_daily_10

systemctl --user status agents-database-maintenance.service --no-pager --lines=40 || true


Unit agents-database-maintenance.service could not be found.


**Considering service installation**

I need to explain that a service might not be installed or running properly. There's a possibility that the necessary file exists, but the unit itself isn't actually installed. I should clarify that this could lead to functionality issues. It's essential to ensure everything is set up correctly to avoid problems later. Let's make sure to provide proper guidance on how to check or resolve this issue for the best user experience!

Parcialmente sí.

## Sí veo que funciona
El flujo ya corre bien si lo invocás:

```bash
DB_PATH=/tmp/agents-db-maint-check.sqlite3 INTERVAL_SECONDS=1 JITTER_SECONDS=0 \
bash scripts/run-maintenance-daemon.sh --once --job-id job_consolidation_daily_10
```

Resultado:
- `status: completed`

O sea:
- el wrapper ya no rompe
- el job de mantenimiento corre
- la automatización ya es ejecutable de verdad

## No veo que esté corriendo como servicio
Probé:

```bash
systemctl --user status agents-database-maintenance.service
```

Resultado:
- `Unit agents-database-maintenance.service could not be found.`

O sea:
- el código/arreglo está
- el service file existe en el repo
- pero no está instalado/cargado en systemd user todavía

## Resumen real
Estado actual:

- **sí**: el mecanismo arreglado funciona
- **no**: no veo un daemon persistente activo vía systemd en esta máquina, al menos con ese nombre todavía

Si querés, siguiente paso lógico:
1. revisar el service file nuevo
2. instalarlo/enlazarlo en `systemctl --user`
3. levantarlo
4. confirmar que quede corriendo solo

Si querés, hago eso.


si, solo con todo andando hace commit


**Considering installation steps**

I need to think about installing and starting the service. If everything is working as expected, then I might also consider committing my changes. First, it’s crucial to inspect the repository to see what’s going on. I want to make sure I’m not missing anything important before moving forward. It’s essential to get this right! Alright, let's dive in!

todo

Install and verify agents-database maintenance service, then commit working fix

Enable the new maintenance automation end to end: inspect service/unit setup, install and start user service if appropriate, verify it runs, then commit repo changes only if all is working.


Created #2: Install and verify agents-database maintenance service, then commit working fix (pending)

Design native tmux+pi side-agent replacement

Plan replacing agent-start extension flow with native tmux sessions running pi in chosen cwd, logging to files, and synchronous/asynchronous inspection from parent agent. Produce implementation plan and candidate skills.


Updated #2 (pending → in_progress)


bash

cd /mnt/rpi/agents-database && sed -n '1,220p' systemd/user/agents-database-maintenance.service 2>/dev/null && echo '---' && sed -n '1,220p' systemd/user/agents-database-http.service 2>/dev/null && echo '---' && find systemd -maxdepth 3 -type f | sort

cd /mnt/rpi/agents-database && sed -n '1,220p' scripts/run-maintenance-daemon.sh && echo '---' && git diff -- scripts/run-maintenance-daemon.sh tests/test_memory_service.py systemd/user/agents-database-maintenance.service


[Unit]
Description=Agents Database Maintenance Daemon
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
WorkingDirectory=/home/sebas/agents-database
Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3
Environment=INTERVAL_SECONDS=900
Environment=JITTER_SECONDS=60
ExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh
Restart=always
RestartSec=10

[Install]
WantedBy=default.target
---
[Unit]
Description=Agents Database HTTP API
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
WorkingDirectory=/home/sebas/agents-database
Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3
Environment=HOST=0.0.0.0
Environment=PORT=8091
ExecStart=/home/sebas/agents-database/scripts/run-http-api.sh
Restart=always
RestartSec=10

[Install]
WantedBy=default.target
---
systemd/user/agents-database-http.service
systemd/user/agents-database-maintenance.service


#!/usr/bin/env bash
set -euo pipefail

REPO_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
DB_PATH="${DB_PATH:-${REPO_ROOT}/data/shared-agent-memory.sqlite3}"
INTERVAL_SECONDS="${INTERVAL_SECONDS:-900}"
JITTER_SECONDS="${JITTER_SECONDS:-60}"
PYTHON_BIN="${PYTHON_BIN:-}"

export PATH="/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin:${PATH}"
export PYTHONPATH="${REPO_ROOT}/src${PYTHONPATH:+:${PYTHONPATH}}"

if [[ -z "${PYTHON_BIN}" ]]; then
  if [[ -x "${REPO_ROOT}/.venv/bin/python" ]]; then
    PYTHON_BIN="${REPO_ROOT}/.venv/bin/python"
  else
    PYTHON_BIN="python3"
  fi
fi

exec "${PYTHON_BIN}" -m shared_agent_memory.cli \
  --db "${DB_PATH}" \
  maintenance-daemon \
  --interval-seconds "${INTERVAL_SECONDS}" \
  --jitter-seconds "${JITTER_SECONDS}" \
  "$@"
---
diff --git a/scripts/run-maintenance-daemon.sh b/scripts/run-maintenance-daemon.sh
old mode 100644
new mode 100755
index 835eb0a..7708531
--- a/scripts/run-maintenance-daemon.sh
+++ b/scripts/run-maintenance-daemon.sh
@@ -5,11 +5,22 @@ REPO_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
 DB_PATH="${DB_PATH:-${REPO_ROOT}/data/shared-agent-memory.sqlite3}"
 INTERVAL_SECONDS="${INTERVAL_SECONDS:-900}"
 JITTER_SECONDS="${JITTER_SECONDS:-60}"
+PYTHON_BIN="${PYTHON_BIN:-}"

 export PATH="/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin:${PATH}"
+export PYTHONPATH="${REPO_ROOT}/src${PYTHONPATH:+:${PYTHONPATH}}"

-exec python3 -m shared_agent_memory.cli \
+if [[ -z "${PYTHON_BIN}" ]]; then
+  if [[ -x "${REPO_ROOT}/.venv/bin/python" ]]; then
+    PYTHON_BIN="${REPO_ROOT}/.venv/bin/python"
+  else
+    PYTHON_BIN="python3"
+  fi
+fi
+
+exec "${PYTHON_BIN}" -m shared_agent_memory.cli \
   --db "${DB_PATH}" \
   maintenance-daemon \
   --interval-seconds "${INTERVAL_SECONDS}" \
-  --jitter-seconds "${JITTER_SECONDS}"
+  --jitter-seconds "${JITTER_SECONDS}" \
+  "$@"
diff --git a/tests/test_memory_service.py b/tests/test_memory_service.py
index 11efe67..9a38106 100644
--- a/tests/test_memory_service.py
+++ b/tests/test_memory_service.py
@@ -1,6 +1,8 @@
 from __future__ import annotations

 import json
+import os
+import subprocess
 import threading
 from pathlib import Path
 from urllib.error import HTTPError
@@ -449,6 +451,41 @@ def test_conflicts_only_for_selected_types(tmp_path: Path) -> None:
     assert conflicts == 1

+def test_run_maintenance_daemon_wrapper_runs_from_repo_checkout(tmp_path: Path) -> None:
+    db_path = tmp_path / "memory.sqlite3"
+    service = MemoryService(str(db_path))
+    service.update_maintenance_job("job_consolidation_daily_10", next_due_at="2026-03-20T10:00:00+00:00")
+
+    script = Path(__file__).resolve().parents[1] / "scripts" / "run-maintenance-daemon.sh"
+    env = os.environ.copy()
+    env["DB_PATH"] = str(db_path)
+    env["INTERVAL_SECONDS"] = "1"
+    env["JITTER_SECONDS"] = "0"
+    result = subprocess.run(
+        [str(script), "--once", "--job-id", "job_consolidation_daily_10"],
+        capture_output=True,
+        text=True,
+        check=True,
+        env=env,
+    )
+
+    restarted = MemoryService(str(db_path))
+    job = restarted.get_maintenance_job("job_consolidation_daily_10")
+    runs = restarted.list_maintenance_runs(job_id="job_consolidation_daily_10")
+
+    assert '"status": "completed"' in result.stdout
+    assert job["last_status"] == "completed"
+    assert runs
+
+
+def test_versioned_maintenance_systemd_service_exists() -> None:
+    service_file = Path(__file__).resolve().parents[1] / "systemd" / "user" / "agents-database-maintenance.service"
+    content = service_file.read_text()
+
+    assert service_file.exists()
+    assert "ExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh" in content
+
+
 def test_migrate_v2_rewrites_legacy_rows_and_drops_legacy_tables(tmp_path: Path) -> None:
     service = make_service(tmp_path)
     with service.store.connection() as conn:


**Fixing service installation issues**

I need to install the service, likely by copying or creating a symlink into /.config/systemd/user and then running daemon-reload to enable and start it. I should verify if there's a path issue since the repository is located at /mnt/rpi/agents-database instead of /home/sebas/agents-database. It might be worth inspecting to see if there's a symlink set up in the home directory.

ls -ld /home/sebas/agents-database /mnt/rpi/agents-database; readlink -f /home/sebas/agents-database || true; readlink -f /mnt/rpi/agents-database

mkdir -p ~/.config/systemd/user && systemctl --user list-unit-files 'agents-database*' --no-pager || true && ls -la ~/.config/systemd/user


drwxrwxr-x 11 sebas sebas 4096 Apr 22 16:57 /mnt/rpi/agents-database
/home/sebas/agents-database
/mnt/rpi/agents-database
ls: cannot access '/home/sebas/agents-database': No such file or directory


UNIT FILE                           STATE   PRESET
agents-database-http.service        enabled enabled
agents-database-maintenance.service bad     enabled

2 unit files listed.
total 28
drwxr-xr-x 3 sebas sebas 4096 Apr 22 10:38 .
drwxr-xr-x 3 sebas sebas 4096 Jan 27 21:36 ..
-rw-r--r-- 1 sebas sebas  413 Apr 16 22:40 agents-database-http.service
lrwxrwxrwx 1 sebas sebas   76 Mar 30 14:14 agents-database-maintenance.service -> /home/sebas/agents-database/systemd/user/agents-database-maintenance.service
-rw-rw-r-- 1 sebas sebas  296 Apr 16 16:32 ballbox-services.target
drwxr-xr-x 2 sebas sebas 4096 Apr 22 10:38 default.target.wants
lrwxrwxrwx 1 sebas sebas   68 Apr 21 12:32 install-session-memory-dispatcher.service -> /mnt/rpi/pi-config/scripts/install-session-memory-dispatcher.service


**Fixing symlink issues**

I think I need to fix the symlink, maybe by installing it properly. It seems like the service might be malfunctioning because of a broken symlink. I wonder if I'd need to update the hardcoded path? Creating a new symlink from /home/sebas/agents-database to /mnt/rpi/agents-database might be a good idea if the HTTP service is there. I should also inspect the content at /.config, just to see if it's incorrectly pointing to /home/sebas/agents-database. It might be time to check the status.

sed -n '1,220p' ~/.config/systemd/user/agents-database-http.service && echo '---' && systemctl --user status agents-database-http.service --no-pager --lines=40 || true

ls -l ~/.config/systemd/user/default.target.wants | sed -n '1,120p'


[Unit]
Description=Agents Database HTTP API
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
WorkingDirectory=/mnt/rpi/agents-database
Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3
Environment=HOST=0.0.0.0
Environment=PORT=8091
ExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh
Restart=always
RestartSec=10

[Install]
WantedBy=default.target
---
● agents-database-http.service - Agents Database HTTP API
     Loaded: loaded (/home/sebas/.config/systemd/user/agents-database-http.service; enabled; preset: enabled)
     Active: active (running) since Tue 2026-04-21 01:19:35 -03; 1 week 2 days ago
 Invocation: 3abd80f99a22462c8618ba306aada11d
   Main PID: 1907 (python3)
      Tasks: 1 (limit: 9571)
        CPU: 47.945s
     CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/agents-database-http.service
             └─1907 python3 -m shared_agent_memory.cli --db /mnt/rpi/agents-database/data/shared-agent-memory.sqlite3 serve-http --host 0.0.0.0 --port 8091

Notice: journal has been rotated since unit was started, output may be incomplete.


total 12
lrwxrwxrwx 1 sebas sebas 61 Mar 30 14:40 agents-database-http.service -> /home/sebas/.config/systemd/user/agents-database-http.service
lrwxrwxrwx 1 sebas sebas 76 Mar 30 14:14 agents-database-maintenance.service -> /home/sebas/agents-database/systemd/user/agents-database-maintenance.service
lrwxrwxrwx 1 sebas sebas 56 Apr 16 16:33 ballbox-services.target -> /home/sebas/.config/systemd/user/ballbox-services.target
lrwxrwxrwx 1 sebas sebas 68 Apr 21 12:32 install-session-memory-dispatcher.service -> /mnt/rpi/pi-config/scripts/install-session-memory-dispatcher.service


**Considering service installation**

I think I need to overwrite the service file to point to the /mnt path and might have to update the repository service file too. There could be risks with hardcoded paths remaining. The user wants everything to work smoothly, so it makes sense to edit the systemd service to the correct /mnt/rpi path to match the actual repository. I should also check if there’s an install script available. Let's see what I find!

cd /mnt/rpi/agents-database && grep -R "agents-database-maintenance" -n . | sed -n '1,120p'


grep: ./.git/index: binary file matches
grep: ./tests/__pycache__/test_memory_service.cpython-313-pytest-9.0.2.pyc: binary file matches
./docs/memory-consolidation-rfc.md:202:- `docs/launchd/agents-database-maintenance.plist`
./docs/memory-consolidation-rfc.md:206:- `systemd/user/agents-database-maintenance.service`
./docs/memory-consolidation-rfc.md:207:- install with `ln -sf /home/sebas/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`
./docs/memory-consolidation-rfc.md:208:- enable with `systemctl --user daemon-reload && systemctl --user enable --now agents-database-maintenance.service`
./docs/system-v1.md:60:- `systemd/user/agents-database-maintenance.service`
./docs/system-v1.md:65:- `~/.config/systemd/user/agents-database-maintenance.service`
./docs/system-v1.md:66:- enabled with `systemctl --user enable --now agents-database-maintenance.service`
./docs/system-v1.md:73:systemctl --user status agents-database-maintenance.service --no-pager
./docs/system-v1.md:74:systemctl --user show agents-database-maintenance.service --property=NRestarts,ExecMainPID,SubState
./docs/system-v1.md:75:journalctl --user -u agents-database-maintenance.service -n 50 --no-pager
./docs/system-v1.md:80:- `docs/launchd/agents-database-maintenance.plist`
./docs/system-v1.md:86:- the service was verified to auto-restart after a manual `systemctl --user kill agents-database-maintenance.service`
./tests/test_memory_service.py:482:    service_file = Path(__file__).resolve().parents[1] / "systemd" / "user" / "agents-database-maintenance.service"


ENOENT: no such file or directory, access '/mnt/rpi/agents-database/README.md'


**Considering documentation updates**

I think I need to reference the old path in the documentation. It might even be good to update the docs as well. But then, I’m questioning whether that’s really necessary or if it’s just something I'm overthinking. It could be important to ensure everything matches the final behavior, though. I should inspect an excerpt from the documents to help clarify what changes might need to be made.


## Maintenance

```bash
.venv/bin/python -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 maintenance-status
.venv/bin/python -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 maintenance-tick --limit 10
.venv/bin/python -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 maintenance-daemon --interval-seconds 900
```

Versioned service definitions:

- `systemd/user/agents-database-maintenance.service`
- `scripts/run-maintenance-daemon.sh`

Installed Linux user service:

- `~/.config/systemd/user/agents-database-maintenance.service`
- enabled with `systemctl --user enable --now agents-database-maintenance.service`
- `Restart=always` with `RestartSec=10`
- `loginctl show-user sebas --property=Linger` is `yes`, so the user service is eligible to come back after reboot without an interactive login

Operational checks:

```bash
systemctl --user status agents-database-maintenance.service --no-pager
systemctl --user show agents-database-maintenance.service --property=NRestarts,ExecMainPID,SubState
journalctl --user -u agents-database-maintenance.service -n 50 --no-pager
```

macOS launchd template:

- `docs/launchd/agents-database-maintenance.plist`

Current Linux runtime notes:

- the daemon now starts through `scripts/run-maintenance-daemon.sh`
- the wrapper exports `PYTHONPATH` for the repo checkout and prefers `./.venv/bin/python` when present
- the service was verified to auto-restart after a manual `systemctl --user kill agents-database-maintenance.service`
- `MemoryService` also performs opportunistic catch-up checks on startup and after normal write operations, so due jobs do not depend exclusively on the long-lived daemon

## Boundary

- new durable work: shared DB only
- legacy `~/personal-agent/data/personal-agent.sqlite3`: transition-only inspection and migration source

## RFCs

- `docs/memory-consolidation-rfc.md`


```

Launchd template:

- `docs/launchd/agents-database-maintenance.plist`

Linux systemd user service:

- `systemd/user/agents-database-maintenance.service`
- install with `ln -sf /home/sebas/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`
- enable with `systemctl --user daemon-reload && systemctl --user enable --now agents-database-maintenance.service`
- requires `loginctl enable-linger sebas` if the machine should restart the user service after reboot without waiting for login

## Progress Log (living)

- 2026-03-26: RFC drafted with opportunistic scheduler + consolidation pipeline.
- 2026-03-26: Implemented maintenance tables, scheduler hooks, and consolidation runner (v1).
- 2026-03-27: Added maintenance config + daemon CLI commands.
- 2026-03-30: Fixed the maintenance daemon wrapper to run from a repo checkout by exporting `PYTHONPATH` and preferring `./.venv/bin/python`.
- 2026-03-30: Added and enabled a Linux `systemd --user` service with `Restart=always`; verified auto-restart after kill and confirmed `Linger=yes` for reboot persistence.

[13 more lines in file. Use offset=218 to continue.]


**Updating documentation paths**

I think I need to fix the documentation path. I should update the service file and adjust the tests to expect the /mnt path. But I wonder if I should really be hardcoding that or if there's a way to make it more flexible for different setups. For now, I can update it to /mnt/rpi on this machine and make sure to also adjust the test expectations before proceeding with the installation.


Successfully replaced 1 block(s) in /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service.

    ...
  4 Wants=network-online.target
  5
  6 [Service]
  7 Type=simple
- 8 WorkingDirectory=/home/sebas/agents-database
- 9 Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3
+ 8 WorkingDirectory=/mnt/rpi/agents-database
+ 9 Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3
 10 Environment=INTERVAL_SECONDS=900
 11 Environment=JITTER_SECONDS=60
-12 ExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh
+12 ExecStart=/mnt/rpi/agents-database/scripts/run-maintenance-daemon.sh
 13 Restart=always
 14 RestartSec=10
 15
 16 [Install]
    ...


edit

assert "ExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh" in content

assert "ExecStart=/mnt/rpi/agents-database/scripts/run-maintenance-daemon.sh" in content


Successfully replaced 1 block(s) in /mnt/rpi/agents-database/tests/test_memory_service.py.

     ...
 482     service_file = Path(__file__).resolve().parents[1] / "systemd" / "user" / "agents-database-maintenance.service"
 483     content = service_file.read_text()
 484
 485     assert service_file.exists()
-486     assert "ExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh" in content
+486     assert "ExecStart=/mnt/rpi/agents-database/scripts/run-maintenance-daemon.sh" in content
 487
 488
 489 def test_migrate_v2_rewrites_legacy_rows_and_drops_legacy_tables(tmp_path: Path) -> None:
 490     service = make_service(tmp_path)
     ...


- install with `ln -sf /home/sebas/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`

- install with `ln -sf /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`


Successfully replaced 1 block(s) in /mnt/rpi/agents-database/docs/memory-consolidation-rfc.md.

     ...
 203
 204 Linux systemd user service:
 205
 206 - `systemd/user/agents-database-maintenance.service`
-207 - install with `ln -sf /home/sebas/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`
+207 - install with `ln -sf /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`
 208 - enable with `systemctl --user daemon-reload && systemctl --user enable --now agents-database-maintenance.service`
 209 - requires `loginctl enable-linger sebas` if the machine should restart the user service after reboot without waiting for login
 210
 211 ## Progress Log (living)
     ...


bash

cd /mnt/rpi/agents-database && ./.venv/bin/python -m pytest -q tests/test_memory_service.py

ln -sfn /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service && systemctl --user daemon-reload && systemctl --user enable --now agents-database-maintenance.service && sleep 2 && systemctl --user status agents-database-maintenance.service --no-pager --lines=40


....................                                                     [100%]
20 passed in 3.08s


Removed '/home/sebas/.config/systemd/user/default.target.wants/agents-database-maintenance.service'.
Created symlink '/home/sebas/.config/systemd/user/default.target.wants/agents-database-maintenance.service' → '/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service'.
● agents-database-maintenance.service - Agents Database Maintenance Daemon
     Loaded: loaded (/home/sebas/.config/systemd/user/agents-database-maintenance.service; enabled; preset: enabled)
     Active: active (running) since Fri 2026-05-01 00:14:49 -03; 2s ago
 Invocation: 001a0ad3d6714c5584e8198ad8b0aa64
   Main PID: 3203828 (python)
      Tasks: 1 (limit: 9571)
        CPU: 105ms
     CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/agents-database-maintenance.service
             └─3203828 /mnt/rpi/agents-database/.venv/bin/python -m shared_agent_memory.cli --db /mnt/rpi/agents-database/data/shared-agent-memory.sqlite3 maintenance-daemon --interval-seconds 900 --jitter-seconds 60

May 01 00:14:49 ballbox-first systemd[1272]: Started agents-database-maintenance.service - Agents Database Maintenance Daemon.


**Verifying maintenance status**

I want to verify the maintenance status with the actual database or service logs. It seems like this might be good enough, but I really need to commit only the tracked changes to avoid any dirty or untracked exports from the database snapshot. I wonder if I should commit the documentation too. Yes, that sounds like a good idea! Now, I’ll also need to check the git status.

cd /mnt/rpi/agents-database && systemctl --user show agents-database-maintenance.service --property=SubState,ExecMainPID,NRestarts --no-pager && journalctl --user -u agents-database-maintenance.service -n 20 --no-pager

cd /mnt/rpi/agents-database && git status --short && git diff --stat -- scripts/run-maintenance-daemon.sh tests/test_memory_service.py systemd/user/agents-database-maintenance.service docs/memory-consolidation-rfc.md


NRestarts=0
ExecMainPID=3203828
SubState=running
No journal files were found.
-- No entries --


 M data/shared-agent-memory.sqlite3
 M docs/memory-consolidation-rfc.md
 M scripts/run-maintenance-daemon.sh
 M tests/test_memory_service.py
?? scripts/export-db-snapshot-html.py
?? systemd/user/agents-database-maintenance.service
 docs/memory-consolidation-rfc.md  |  2 +-
 scripts/run-maintenance-daemon.sh | 15 +++++++++++++--
 tests/test_memory_service.py      | 37 +++++++++++++++++++++++++++++++++++++
 3 files changed, 51 insertions(+), 3 deletions(-)


**Managing Git Commits**

I’m considering whether to add a service file to be tracked. It looks like I need to commit selected files while excluding the database and any unrelated untracked files. I wonder if I should update the docs for system-v1, but I think I’ll pass on that for now. My main focus is to do the git add and commit correctly. Let's make sure I keep everything organized!

cd /mnt/rpi/agents-database && git add scripts/run-maintenance-daemon.sh tests/test_memory_service.py systemd/user/agents-database-maintenance.service docs/memory-consolidation-rfc.md && git commit -m "Fix maintenance daemon startup"


[feat/memory-promotion-automation-clean 7107bd6] Fix maintenance daemon startup
 4 files changed, 68 insertions(+), 3 deletions(-)
 mode change 100644 => 100755 scripts/run-maintenance-daemon.sh
 create mode 100644 systemd/user/agents-database-maintenance.service


Updated #2 (in_progress → completed)


Sí. Ya quedó andando y recién ahí hice commit.

## Estado final
Servicio activo:
- `agents-database-maintenance.service`
- `SubState=running`
- `ExecMainPID=3203828`
- `NRestarts=0`

Wrapper validado:
- `DB_PATH=/tmp/agents-db-maint-check.sqlite3 ... bash scripts/run-maintenance-daemon.sh --once --job-id job_consolidation_daily_10`
- resultado: `completed`

Tests:
- `.venv/bin/python -m pytest -q tests/test_memory_service.py`
- `20 passed`

## Instalación hecha
Reemplacé el symlink roto y habilité el servicio:
- `~/.config/systemd/user/agents-database-maintenance.service`
  -> `/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service`

Luego:
- `systemctl --user daemon-reload`
- `systemctl --user enable --now agents-database-maintenance.service`

## Ajustes hechos
- `scripts/run-maintenance-daemon.sh`
- `tests/test_memory_service.py`
- `systemd/user/agents-database-maintenance.service`
- `docs/memory-consolidation-rfc.md`

También corregí el service file para usar la ruta real:
- `/mnt/rpi/agents-database`

## Commit
Hecho:
- `7107bd6` — `Fix maintenance daemon startup`

## Ojo
Quedaron fuera del commit, a propósito:
- `M data/shared-agent-memory.sqlite3`
- `?? scripts/export-db-snapshot-html.py`

Si querés, ahora te doy el comando exacto para monitorearlo en vivo o reviso si conviene otro commit para documentar instalación/ops mejor.


hay un skill subagents y uno que corre un job con tmux no?


Sí.

## Skills de tmux job
En `~/.agents/skills/`:

- `tmux-pi-job-setup`
- `tmux-pi-job-run`

Sirven para el workflow nuevo:
- un prompt
- una carpeta exacta
- tmux
- log a archivo
- polling simple

## Skill / herramienta de subagentes
No hay skill específico nuevo para eso.

Hay:
- herramienta `subagent`
- herramienta `agent-start` vieja
- y ahora el reemplazo nativo con `pi-job-*`

O sea:

- **subagentes clásicos**: `subagent`
- **side agent viejo en tmux/worktree**: `agent-start`
- **job tmux nativo nuevo**: skills `tmux-pi-job-*` + scripts `pi-job-*`

Si querés, te hago un mapa corto de cuándo usar cada uno.


remove pi-side-agents


**Inspecting extension removal**

I need to comply with the user's request about uninstalling an old agent-start extension. I'll have to check the package list to see what's installed. Uninstalling is reversible to some extent, but it sounds like the user explicitly wants this done. I'll go ahead and do it, and perhaps consider updating the documentation or skills afterward. Let’s dive into the package info and see what there is!

ls -1 /home/sebas/.npm-global/lib/node_modules | sed -n '1,200p'


User packages:
  git:github.com/apmantza/pi-free
    /mnt/rpi/pi-config/git/github.com/apmantza/pi-free
  npm:pi-btw
    /home/sebas/.npm-global/lib/node_modules/pi-btw
  ../../../home/sebas/.agents/extensions/resume-hint/resume-hint.js
    /home/sebas/.agents/extensions/resume-hint/resume-hint.js
  npm:pi-session-switch
    /home/sebas/.npm-global/lib/node_modules/pi-session-switch
  npm:@juicesharp/rpiv-todo
    /home/sebas/.npm-global/lib/node_modules/@juicesharp/rpiv-todo
  npm:pi-side-agents
    /home/sebas/.npm-global/lib/node_modules/pi-side-agents
  npm:pi-tau-mux
    /home/sebas/.npm-global/lib/node_modules/pi-tau-mux


@juicesharp
@malinamnam
@mariozechner
pi-btw
pi-session-switch
pi-side-agents
pi-tau-mux
pi-tau-mux-server
taskplane


**Considering package removal**

I’m thinking it's time to remove the pi-side-agents package. I might need to uninstall it by using the command `npm uninstall pi-side-agents`. That seems like a good approach to cleaning up the skill. Once I do that, I can check if everything is working smoothly again. This should help me streamline things a bit! Let’s go ahead and handle it.

pi uninstall npm:pi-side-agents && pi list


Removing npm:pi-side-agents...

removed 268 packages in 1s
Removed npm:pi-side-agents
User packages:
  git:github.com/apmantza/pi-free
    /mnt/rpi/pi-config/git/github.com/apmantza/pi-free
  npm:pi-btw
    /home/sebas/.npm-global/lib/node_modules/pi-btw
  ../../../home/sebas/.agents/extensions/resume-hint/resume-hint.js
    /home/sebas/.agents/extensions/resume-hint/resume-hint.js
  npm:pi-session-switch
    /home/sebas/.npm-global/lib/node_modules/pi-session-switch
  npm:@juicesharp/rpiv-todo
    /home/sebas/.npm-global/lib/node_modules/@juicesharp/rpiv-todo
  npm:pi-tau-mux
    /home/sebas/.npm-global/lib/node_modules/pi-tau-mux


Hecho.

`pi-side-agents` removido.

Verificación:
- ya no aparece en `pi list`

Quedó esto:
- `pi-btw`
- `resume-hint`
- `pi-session-switch`
- `@juicesharp/rpiv-todo`
- `pi-tau-mux`

Ojo:
- el skill `agent-setup` que vivía dentro de `pi-side-agents` ya no va a existir
- el workflow nuevo de tmux jobs no depende de eso

Si querés, siguiente paso limpio:
- sacar referencias residuales a `agent-start` / `pi-side-agents` en docs o settings.


si


**Inspecting configuration settings**

I need to check the references in the pi-config documentation and settings to see if any changes are necessary. It feels important to ensure everything is accurate and up to date. I want to make sure I don't miss anything crucial, as getting it right will help resolve any potential issues. Let's take a closer look and update the settings accordingly!

cd /mnt/rpi/pi-config && grep -RIn "pi-side-agents\|agent-start\|agent-check\|agent-send\|agent-wait-any\|agent-setup" . --exclude-dir=.git --exclude-dir=node_modules --exclude='*.pyc' | sed -n '1,240p'

grep -RIn "pi-side-agents\|agent-start\|agent-check\|agent-send\|agent-wait-any\|agent-setup" /home/sebas/.agents /home/sebas/.config 2>/dev/null | sed -n '1,240p'


/home/sebas/.agents/skills/pi-extension-search/SKILL.md:41:- For multi-agent workflows, compare `pi-side-agents` against `pi-subagents`, `pi-crew`, `pi-messenger-swarm`, and `taskplane` when relevant.
/home/sebas/.agents/skills/tmux-pi-job-setup/SKILL.md:10:- replacing `agent-start` with simpler native Linux tools


cd /mnt/rpi/pi-config && grep -RIn "pi-side-agents\|agent-start\|agent-check\|agent-send\|agent-wait-any\|agent-setup" . --exclude-dir=.git --exclude-dir=sessions --exclude-dir=node_modules --exclude='*.pyc' | sed -n '1,240p'


./SERVICES-ARCHITECTURE.md:112:For simple one-prompt subagent runs, prefer native tmux job wrappers instead of the `agent-start` extension.


**Considering systemd links**

I'm thinking I might need to remove the broken systemd link. However, the user referred to something in the documentation about residuals related to pi-side-agents and the agent-start settings. I should check the settings to see if the pi list is removed, but the configuration could still have extensions. It might also be worth inspecting the user’s config directory. I'll focus on clarifying whether the skills are still functioning properly and make any necessary edits.

edit

For simple one-prompt subagent runs, prefer native tmux job wrappers instead of the `agent-start` extension.

For simple one-prompt subagent runs, prefer native tmux job wrappers instead of extension-based side-agent orchestration.

- replacing `agent-start` with simpler native Linux tools

- replacing extension-based side-agent orchestration with simpler native Linux tools

- For multi-agent workflows, compare `pi-side-agents` against `pi-subagents`, `pi-crew`, `pi-messenger-swarm`, and `taskplane` when relevant.

- For multi-agent workflows, compare native tmux jobs and delegation tools against `pi-subagents`, `pi-crew`, `pi-messenger-swarm`, and `taskplane` when relevant.


Successfully replaced 1 block(s) in /mnt/rpi/pi-config/SERVICES-ARCHITECTURE.md.

     ...
 108 ```
 109
 110 ## Native tmux batch jobs for subagents
 111
-112 For simple one-prompt subagent runs, prefer native tmux job wrappers instead of the `agent-start` extension.
+112 For simple one-prompt subagent runs, prefer native tmux job wrappers instead of extension-based side-agent orchestration.
 113
 114 Desired shape:
 115
 116 - exact existing `cwd` is chosen by caller
     ...


Successfully replaced 1 block(s) in /home/sebas/.agents/skills/tmux-pi-job-setup/SKILL.md.

    ...
  6 # tmux-pi-job-setup
  7
  8 ## Use When
  9
-10 - replacing `agent-start` with simpler native Linux tools
+10 - replacing extension-based side-agent orchestration with simpler native Linux tools
 11 - you need one-prompt `pi` runs in an exact existing directory
 12 - you want tmux persistence plus plain file logs
 13
 14 ## Workflow
    ...


Successfully replaced 1 block(s) in /home/sebas/.agents/skills/pi-extension-search/SKILL.md.

    ...
 37
 38 - Pi CLI here exposes install/remove/update/list/config, not package search.
 39 - `npm search` is the practical discovery path.
 40 - Prefer packages with explicit `pi-package`, `pi-extension`, or `pi-coding-agent` keywords.
-41 - For multi-agent workflows, compare `pi-side-agents` against `pi-subagents`, `pi-crew`, `pi-messenger-swarm`, and `taskplane` when relevant.
+41 - For multi-agent workflows, compare native tmux jobs and delegation tools against `pi-subagents`, `pi-crew`, `pi-messenger-swarm`, and `taskplane` when relevant.


bash

grep -RIn "pi-side-agents\|agent-start\|agent-check\|agent-send\|agent-wait-any\|agent-setup" /mnt/rpi/pi-config /home/sebas/.agents /home/sebas/.config 2>/dev/null | sed -n '1,240p'