Files
Atomizer/hq/workspaces/technical-lead/MEMORY.md
Antoine 3289a76e19 feat: add Atomizer HQ multi-agent cluster infrastructure
- 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
2026-02-15 21:18:18 +00:00

806 B

MEMORY.md — Technical Lead Long-Term Memory

Atomizer Framework Knowledge

LAC Pattern (Load-Analyze-Compare)

  • Core pattern: parametric model → load conditions → FEA solve → extract results → compare → iterate
  • Implemented in Python, runs on Windows (NX/Simcenter)
  • Syncthing bridges job files between T420 (agents) and dalidou (NX)

Solver Notes

  • NX Nastran: SOL 101 (static), 103 (modal), 105 (buckling), 106 (nonlinear), 200 (optimization)
  • Default mesh: CQUAD4/CHEXA for most structural work
  • Always run mesh convergence studies on new geometries

Technical Decisions Log

(Record all technical decisions with reasoning here)

FEA Lessons Learned

(Accumulate solver quirks, best practices, gotchas here)

Active Analyses

(Track ongoing technical work here)