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

.claude-flow/config.yaml

@@ -1,5 +1,5 @@
 # Claude Flow V3 Runtime Configuration
-# Generated: 2026-01-13T02:28:22.177Z
+# Generated: 2026-02-28T16:04:10.837Z
 
 version: "3.0.0"
 
@@ -14,6 +14,21 @@ memory:
   enableHNSW: true
   persistPath: .claude-flow/data
   cacheSize: 100
+  # ADR-049: Self-Learning Memory
+  learningBridge:
+    enabled: true
+    sonaMode: balanced
+    confidenceDecayRate: 0.005
+    accessBoostAmount: 0.03
+    consolidationThreshold: 10
+  memoryGraph:
+    enabled: true
+    pageRankDamping: 0.85
+    maxNodes: 5000
+    similarityThreshold: 0.8
+  agentScopes:
+    enabled: true
+    defaultScope: project
 
 neural:
   enabled: true