48 lines
4.6 KiB
Markdown
48 lines
4.6 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. **Blocked on Antoine running updated code on dalidou.**
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- **Adaptive Isogrid Plate Lightweighting** — Channel: war-room-isogrid | Phase: Technical spec locked + reviews complete. Full spec (32KB) + optimizer/tech-lead/webster reviews in `shared/war-room-isogrid/`. Architecture: "Python Brain + NX Hands + Atomizer Manager". Next: CEO review → implementation planning.
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- **Atomizer Project Standard** — Phase: Full review package delivered (2026-02-18). Spec (~57KB), tech-lead review, auditor audit, secretary synthesis all complete. Files in `shared/standardization/`. **Auditor verdict: spec is over-engineered — recommends Minimum Viable Standard (MVS) based on Hydrotech Beam's existing structure.** Awaiting CEO decision: adopt full spec vs MVS approach. Next: Antoine review → decision → implementation.
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- **Atomizer V2 Migration** — Phase: COMPLETE (2026-02-23). 8 commits pushed to Gitea. 218+ Python files, 58 tests passing. All phases done: repo bootstrap, core engine port, integration testing, reference implementation, CLAUDE.md, Data Contracts (5 dataclasses), Pipeline-NX integration tests, roadmap for items 4-9. Dalidou validated: `import atomizer` v2.0.0 + 24/24 tests on Windows. V1 tagged `v1-final` but kept active for Antoine's current optimizations. AOM→Obsidian auto-sync via crontab (15min rsync + wiki-link conversion). Phase 6 (archive V1) deferred until Antoine switches production work.
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- **Atomizer/HQ Separation** — CEO decision (2026-02-23): Atomizer = product (V2 repo), HQ = AI operations team (HQ repo). AOM governs the product. 7 AOM docs updated to reflect boundary. DEC-037 logged. HQ repo pushed to Gitea with full operational structure (218 files).
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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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- Secretary also hit Slack posting issues (missing bot token in spawned context) — always post final deliverables from main agent
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- Auditor produces high-value "reality check" reviews — always include in spec/design work
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- Taskboard CLI (`mc-update.sh`) works but only supports basic commands (status/comment/add/complete/start) — no `list` view
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