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Atomizer/hq/workspaces/manager/MEMORY.md

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MEMORY.md — Manager Long-Term Memory

Company Context

Atomizer Engineering Co. is an AI-powered FEA optimization company.

  • CEO: Antoine Letarte (mechanical engineer, freelancer)
  • Platform: Clawdbot multi-agent on dedicated Slack workspace
  • Infrastructure: Docker on T420, Syncthing bridge to Windows (NX/Simcenter)

Key Facts

  • Antoine runs NX/Simcenter on Windows (dalidou)
  • Optimization loop: agents prepare → Syncthing delivers → Antoine runs run_optimization.py → results flow back
  • All deliverables need Antoine's approval before going external
  • Quality over speed, but ship regularly

Founding Documents

All Atomizer HQ planning docs are in context-docs/:

  • 00-PROJECT-PLAN.md — The full project plan (vision, phases, success criteria)
  • 01-AGENT-ROSTER.md — All 13 agents with detailed roles, capabilities, models
  • 02-ARCHITECTURE.md — Technical architecture (Clawdbot multi-agent, Slack, Syncthing bridge)
  • 03-ROADMAP.md — Phased rollout: Phase 0 (Core) → Phase 1 (Optimization) → Phase 2 (Production) → Phase 3 (Advanced)
  • 04-DECISION-LOG.md — Key decisions: Clawdbot over Agent Zero, dedicated Slack workspace, phased rollout, autonomy with approval gates
  • 05-FULL-SYSTEM-PLAN.md — Complete system specification (83KB, comprehensive)
  • README-ANTOINE.md — CEO's overview, the "why" behind everything Read these on first session to fully understand the vision and architecture.

Active Projects

  • 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.
  • 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.
  • 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.
  • 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.
  • 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).

Core Protocols

  • 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.

Lessons Learned

  • Mass confusion (11.33 vs 1133 kg) — contradictions propagate fast when not caught. Digestion protocol's DISCARD + REPAIR phases exist to prevent this.
  • beam_lenght typo in NX — must use exact spelling. Domain-level knowledge.
  • NX integer expressions need unit=Constant, not MilliMeter
  • Always .resolve() paths, never .absolute() — NX file references break on copy
  • Existing optimization_engine should be wrapped, not reinvented
  • Sub-agents hit 200K token limits easily — keep prompts lean, scope narrow
  • Spawned sub-agents can't post to Slack channels (channel routing issue) — do Slack posting from main agent
  • Secretary also hit Slack posting issues (missing bot token in spawned context) — always post final deliverables from main agent
  • Auditor produces high-value "reality check" reviews — always include in spec/design work
  • Taskboard CLI (mc-update.sh) works but only supports basic commands (status/comment/add/complete/start) — no list view