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