Files
wifi-densepose/.claude-flow/config.yaml
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

44 lines
786 B
YAML

# Claude Flow V3 Runtime Configuration
# Generated: 2026-02-28T16:04:10.837Z
version: "3.0.0"
swarm:
topology: hierarchical-mesh
maxAgents: 15
autoScale: true
coordinationStrategy: consensus
memory:
backend: hybrid
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
modelPath: .claude-flow/neural
hooks:
enabled: true
autoExecute: true
mcp:
autoStart: false
port: 3000