Files
Atomizer/hq/workspaces/manager/memory/2026-02-11.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

30 lines
1.3 KiB
Markdown

# 2026-02-11
## Channel Config
- Added #research-and-development (C0AEB39CE5U) to Slack config
- All 6 agents bound to it
- Set `requireMention: false` globally for all Slack channels per Antoine's request
## NXOpen MCP Server — INSTALLED ✅
- **Repo**: `http://100.80.199.40:3000/Antoine/NXOpen-MCP.git`
- **Local path**: `/home/papa/atomizer/tools/nxopen-mcp/`
- **Venv**: `.venv/` with CPU-only torch (no CUDA needed)
- **Data**: 203MB pre-indexed ChromaDB + JSON caches
- 15,219 NXOpen classes, 64,320 methods
- 149 nxopentse functions
- 287 pyNastran classes
- **Run**: `./run-server.sh` or `python -m nxopen_mcp.server --data-dir ./data`
- **Protocol**: stdio-based MCP
- **Tools**: search_nxopen, get_class_info, get_method_info, get_examples, list_namespaces
- Wired into NX Expert agent via exec/Python subprocess
## NX Expert Agent — HIRED ✅
- **Agent ID**: `nx-expert`
- **Model**: Sonnet 4 (cost-effective specialist)
- **Workspace**: `/home/papa/atomizer/workspaces/nx-expert/`
- **Channels**: #hq (C0AEJV13TEU), #research-and-development (C0AEB39CE5U)
- **Mention patterns**: @nx-expert, @NX Expert, @nx, 🖥️
- **Tools**: NXOpen MCP via Python exec, atomizer-protocols skill
- **Role**: NX Open API expert, solver config, element selection, journal scripting
- First Phase 2 agent to come online — ahead of schedule