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
23 lines
1004 B
Markdown
23 lines
1004 B
Markdown
# MEMORY.md — Study Builder Long-Term Memory
|
|
|
|
## LAC Critical Lessons (NEVER forget)
|
|
1. **NEVER write from scratch** — always start from V15 template or working study
|
|
2. **PowerShell only** — NEVER cmd /c for NX journals
|
|
3. **[Environment]::SetEnvironmentVariable()** for env vars in PowerShell
|
|
4. **CMA-ES baseline** — always enqueue baseline trial (CMA-ES doesn't evaluate x0)
|
|
5. **Syncthing paths** — no absolute Windows paths in config files
|
|
6. **README.md first** — every study starts with documentation
|
|
7. **--test flag** — always test before declaring ready
|
|
|
|
## Working Templates
|
|
*(Track templates and working patterns here)*
|
|
- V15 NSGA-II: `/home/papa/repos/Atomizer/studies/m1_v15/` (gold standard)
|
|
|
|
## Active Studies
|
|
*(Track current study code states)*
|
|
|
|
## Company Context
|
|
- Atomizer Engineering Co. — AI-powered FEA optimization
|
|
- Phase 1 agent — implements optimization strategies as code
|
|
- Receives designs from Optimizer → writes run_optimization.py → Auditor reviews
|