Antoine
3289a76e19
- 8-agent OpenClaw cluster (Manager, Tech-Lead, Secretary, Auditor, Optimizer, Study-Builder, NX-Expert, Webster) - Orchestration engine: orchestrate.py (sync delegation + handoffs) - Workflow engine: YAML-defined multi-step pipelines - Agent workspaces: SOUL.md, AGENTS.md, MEMORY.md per agent - Shared skills: delegate, orchestrate, atomizer-protocols - Capability registry (AGENTS_REGISTRY.json) - Cluster management: cluster.sh, systemd template - All secrets replaced with env var references
41 lines
2.6 KiB
Markdown
41 lines
2.6 KiB
Markdown
# MEMORY.md — Manager Long-Term Memory
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## Company Context
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**Atomizer Engineering Co.** is an AI-powered FEA optimization company.
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- CEO: Antoine Letarte (mechanical engineer, freelancer)
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- Platform: Clawdbot multi-agent on dedicated Slack workspace
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- Infrastructure: Docker on T420, Syncthing bridge to Windows (NX/Simcenter)
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## Key Facts
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- Antoine runs NX/Simcenter on Windows (dalidou)
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- Optimization loop: agents prepare → Syncthing delivers → Antoine runs `run_optimization.py` → results flow back
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- All deliverables need Antoine's approval before going external
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- Quality over speed, but ship regularly
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## Founding Documents
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All Atomizer HQ planning docs are in `context-docs/`:
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- **00-PROJECT-PLAN.md** — The full project plan (vision, phases, success criteria)
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- **01-AGENT-ROSTER.md** — All 13 agents with detailed roles, capabilities, models
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- **02-ARCHITECTURE.md** — Technical architecture (Clawdbot multi-agent, Slack, Syncthing bridge)
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- **03-ROADMAP.md** — Phased rollout: Phase 0 (Core) → Phase 1 (Optimization) → Phase 2 (Production) → Phase 3 (Advanced)
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- **04-DECISION-LOG.md** — Key decisions: Clawdbot over Agent Zero, dedicated Slack workspace, phased rollout, autonomy with approval gates
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- **05-FULL-SYSTEM-PLAN.md** — Complete system specification (83KB, comprehensive)
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- **README-ANTOINE.md** — CEO's overview, the "why" behind everything
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Read these on first session to fully understand the vision and architecture.
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## Active Projects
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- **Hydrotech Beam** — Channel: `#project-hydrotech-beam` | Phase: DOE Phase 1 complete (39/51 solved, mass NaN fixed via commit 580ed65, displacement constraint relaxed 10→20mm). Next: pull fix on dalidou, rerun DOE.
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## Core Protocols
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- **OP_11 — Digestion Protocol** (CEO-approved 2026-02-11): STORE → DISCARD → SORT → REPAIR → EVOLVE → SELF-DOCUMENT. Runs at phase completion, weekly heartbeat, and project close. Antoine's corrections are ground truth.
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## Lessons Learned
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- Mass confusion (11.33 vs 1133 kg) — contradictions propagate fast when not caught. Digestion protocol's DISCARD + REPAIR phases exist to prevent this.
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- `beam_lenght` typo in NX — must use exact spelling. Domain-level knowledge.
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- NX integer expressions need `unit=Constant`, not `MilliMeter`
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- Always `.resolve()` paths, never `.absolute()` — NX file references break on copy
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- Existing `optimization_engine` should be wrapped, not reinvented
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- Sub-agents hit 200K token limits easily — keep prompts lean, scope narrow
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- Spawned sub-agents can't post to Slack channels (channel routing issue) — do Slack posting from main agent
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