wifi-densepose/.claude-flow/metrics/learning.json at main - wifi-densepose - Gitea: Git with a cup of tea

dearsky/wifi-densepose

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Claude 6c931b826f feat(claude-flow): Init claude-flow v3, pretrain on repo, update CLAUDE.md

- Run npx @claude-flow/cli@latest init --force: 115 files created
  (agents, commands, helpers, skills, settings, MCP config)
- Initialize memory.db (147 KB): 84 files analyzed, 30 patterns
  extracted, 46 trajectories evaluated via 4-step RETRIEVE/JUDGE/DISTILL/CONSOLIDATE
- Run pretraining with MoE model: hyperbolic Poincaré embeddings,
  3 contradictions resolved, all-MiniLM-L6-v2 ONNX embedding index
- Include .claude/memory.db and .claude-flow/metrics/learning.json in
  repo for team sharing (semantic search available to all contributors)
- Update CLAUDE.md: add wifi-densepose project context, key crates,
  ruvector integration map, correct build/test commands for this repo,
  ADR cross-reference (ADR-014 through ADR-017)

https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4

2026-02-28 16:06:55 +00:00

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 {
   "initialized": "2026-02-28T16:04:10.843Z",
   "routing": {
     "accuracy": 0,
     "decisions": 0
   },
   "patterns": {
     "shortTerm": 0,
     "longTerm": 0,
     "quality": 0
   },
   "sessions": {
     "total": 0,
     "current": null
   },
   "_note": "Intelligence grows as you use Claude Flow"
 }