hq/workspaces/nx-expert/memory/2026-02-11.md

# 2026-02-11 — NX Expert Onboarding

## Setup
- Agent created and configured
- NXOpen MCP documentation server installed at `/home/papa/atomizer/tools/nxopen-mcp/`
- Data indexed: 15,219 NXOpen classes, 64,320 methods, 149 nxopentse functions, 287 pyNastran classes
- Bound to #research-and-development channel

## MCP Server
- Repo: `http://100.80.199.40:3000/Antoine/NXOpen-MCP.git`
- Uses ChromaDB for semantic search + JSON caches for exact lookups
- CPU-only torch (no CUDA needed on dalidou)
- Python 3.12, sentence-transformers for embeddings
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			`# 2026-02-11 — NX Expert Onboarding`

			`## Setup`
			`- Agent created and configured`
			- NXOpen MCP documentation server installed at `/home/papa/atomizer/tools/nxopen-mcp/`
			`- Data indexed: 15,219 NXOpen classes, 64,320 methods, 149 nxopentse functions, 287 pyNastran classes`
			`- Bound to #research-and-development channel`

			`## MCP Server`
			- Repo: `http://100.80.199.40:3000/Antoine/NXOpen-MCP.git`
			`- Uses ChromaDB for semantic search + JSON caches for exact lookups`
			`- CPU-only torch (no CUDA needed on dalidou)`
			`- Python 3.12, sentence-transformers for embeddings`