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
806 B
Markdown
23 lines
806 B
Markdown
# 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)*
|