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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

1.3 KiB

Raw Blame History

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

1.3 KiB Raw Blame History

2026-02-11

Channel Config

NXOpen MCP Server — INSTALLED ✅

NX Expert Agent — HIRED ✅

1.3 KiB

Raw Blame History