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memory: record multi-agent dev architecture preferences
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# Long-term Memory (curated)
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## 1) Working model / roles
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- Tao prefers to send tasks to **main**; main acts as **PM/architect** and delegates implementation (often to Codex).
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- Dedicated agents and intended responsibilities:
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- **tech_geek** (Telegram group “技术宅”, workspace `tech_home_group`): tech/home-lab/ops discussions + GitHub (gh CLI / PR / CI / issues) follow-up.
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- **travel_assistant**: travel planning and travel-related research/tasks.
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- **finance_assistant** (“理财小帮手”): personal finance tasks.
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## 2) Dev workflow / merge policy
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- **Small changes** (docs/copy/layout/typos/i18n cleanup): Xiao Qiang can merge after self-review/verification, then notify Tao with PR link + summary.
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- **Big feature changes**: require Tao review/approval before merge.
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## 3) Sub-agents: architecture + token efficiency
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- Sub-agents reuse the parent/main agent **bot** for messaging, but each sub-agent has an **independent workspace + SOUL (persona) + MEMORY (memory)**.
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- Goal: prevent context/memory mixing, improve focus/efficiency, and save tokens by keeping contexts smaller.
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- Current preferred multi-agent architecture for complex development:
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- **main** acts as **PM/architect/reviewer**: requirements, task breakdown, prioritization, risk calls, progress updates, and final summaries to Tao.
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- Execution agents should be **role-specialized** and do the implementation work.
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- **codex_worker** is the dedicated Codex execution agent for coding tasks.
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- For complex projects, create more specialized agents as needed (e.g. frontend/backend/test/ops/docs/data) instead of overloading one agent.
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- This is the **current default pattern**, but Tao may change the rules as needs evolve.
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## 4) ACP/Codex delegation constraints
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- Telegram channel plugin currently does **not** support `subagent_spawning` hooks → cannot bind persistent subagent sessions with `thread=true`; use `sessions_spawn(mode="run")` as workaround.
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## 5) OCM (OpenClaw Manager) repo policies
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- OCM repo path: `~/.openclaw/ocm`.
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- Internal-only docs (Project Brief / Architecture / Decisions) must **not** be uploaded to GitHub; keep them under `~/.openclaw/ocm-internal/docs/`.
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## 6) Ops / security notes
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- Ensure `~/.openclaw/openclaw.json` is not world-readable; prefer permission mode **600**.
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## 7) Model policy (current preference)
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- Historical temporary preference once was: all subagents **primary** = `openai-codex/gpt-5.2`, **fallback** = `github-copilot/claude-opus-4.6`.
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- Current important exception / newer rule: **codex_worker** should use **primary** = `openai-codex/gpt-5.4`, prefer high/extra/xhigh thinking when available, and should **not auto-fallback** to another model. If its primary model is unavailable, report to Tao and let Tao decide the replacement model.
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## 8) Watchdog / automation policy
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- Tao preference: avoid watchdog-style auto-restart automation.
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- The previous watchdog automation was **removed**:
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- OpenClaw cron job `Gateway monitor + auto-restart (main)` removed (jobId `139258d6-f675-4f88-b2a7-cbe0b93a0db6`).
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- Mac launchd watchdog `ai.openclaw.watchdog` removed.
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- Pi-side crontab watchdog removed.
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## 9) Webex keep-alive (local script)
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- Tao requested a controllable Webex desktop “keep active” option.
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- Script installed on Mac: `~/.openclaw/scripts/webex-keepalive.sh` (commands: `start|stop|status`).
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- Notes: uses AppleScript/System Events; may require macOS Accessibility permission for Terminal/iTerm. Logs: `~/.openclaw/logs/webex-keepalive.log`, pid: `~/.openclaw/run/webex-keepalive.pid`.
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## 10) Local memory library organization
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- Local memory dir: `/Users/taodeng/.openclaw/workspace/main/memory/`.
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- Added `memory/INDEX.md` to classify daily notes vs topic notes vs automation state JSON (do not rename/move state JSON without updating jobs).
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- Plan: create a separate GitHub KB repo (option A) for shareable/curated knowledge; keep private/sensitive items local and only publish redacted content.
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# 2026-03-07
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## Memory/Embeddings incident + external API inventory (OpenClaw)
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- Issue: `memory_search` (semantic memory retrieval) failed with `429 insufficient_quota` due to embeddings provider quota exhaustion.
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- Root cause: OpenClaw `agents.defaults.memorySearch.provider = openai` with `remote.apiKey` present (OpenAI embeddings key). Not related to Brave web search.
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### External API / Provider inventory (from ~/.openclaw/openclaw.json)
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- Chat/model routing:
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- Primary: `openai-codex/gpt-5.4`
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- Fallbacks: `openai-codex/gpt-5.2`, `github-copilot/claude-opus-4.6`
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- Memory semantic search:
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- `memorySearch.enabled = true`
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- `memorySearch.provider = openai`
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- `memorySearch.remote.apiKey` present
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- `memorySearch.sources = [memory, sessions]`
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- Web tools:
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- `tools.web.search.enabled = true` (Brave Search key present)
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- `tools.web.fetch.enabled = true`
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- Auth profiles present: `anthropic:manual`, `github-copilot:github`, `openai:manual`, `openai-codex:default`.
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## User request
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- Tao requested: archive this inventory info and keep it updated whenever APIs/providers are added/removed in the future.
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## Comms protocol update (task progress)
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- Tao reported a recurring issue: after assigning a task, the agent may go silent (stuck or working) unless Tao explicitly asks.
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- Preference selected: progress updates at **milestones** (Option B).
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- Policy: acknowledge within ~30s with plan+ETA; then send updates at each milestone; if ETA slips, proactively report block/reason/next-step.
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## Memory architecture preference (agents)
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- Tao preference: each Agent should have **independent soul + independent memory**; do **not** share memory across agents.
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- Disaster recovery preference: restore automation should be maximized; when restoring, default to **safe mode**: rename existing `~/.openclaw` before restoring (Option B).
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## Clawkeeper project + gateway safety incident
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- Created and published new open-source repo: https://github.com/dtzp555-max/clawkeeper
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- Purpose: OpenClaw Memory Ops Kit (doctor + embeddings probe + provider switch + backup plan + verify-backup + restore tooling).
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- Added `doctor` to perform a real OpenAI embeddings probe (minimal request) to detect 429/insufficient_quota early.
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- Added `backup-plan --json` and `verify-backup <tgz>` to ensure backups include required paths.
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- Added `restore-guide` and `restore-apply` with SAFE default: do not restart gateway unless explicitly requested.
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- Incident: calling `openclaw gateway restart` during restore testing could leave LaunchAgent in a bad state (not loaded / restart fails), forcing `openclaw gateway install` to recover; can cause temporary messaging disconnects.
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- New hard rule from Tao: do not harm the primary Mac gateway during development/testing; use a separate test machine.
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## Test machine ("lobster" 232)
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- Host: 172.16.2.232 (ubuntu-srv), user: administrator.
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- SSH key: ~/.ssh/openclaw_backup_key
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- Tao confirmed key was installed; verified login: `ssh -i ~/.ssh/openclaw_backup_key administrator@172.16.2.232 'echo OK'`.
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- Policy: perform potentially disruptive OpenClaw install/restart tests on 232 instead of the primary Mac.
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## Multi-agent dev workflow preference
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- Tao clarified the intended architecture for complex development:
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- main = PM / architect / coordinator / reviewer / reporter.
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- execution agents do the hands-on implementation.
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- Dedicated execution agent for Codex work:
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- Name: `codex_worker`
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- Workspace: `~/.openclaw/workspaces/codex_worker`
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- Agent dir: `~/.openclaw/agents/codex_worker/agent`
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- Model target: `openai-codex/gpt-5.4`
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- Preference: `codex_worker` should avoid automatic fallback; if GPT-5.4 is unavailable, report to Tao for model decision.
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- Preference: execution agents should get the strongest execution model; main should remain strong for PM/summary work, but not necessarily do the coding itself.
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- This architecture is the current default, but Tao may revise it as needs change.
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