- 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
44 lines
786 B
YAML
44 lines
786 B
YAML
# Claude Flow V3 Runtime Configuration
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# Generated: 2026-02-28T16:04:10.837Z
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version: "3.0.0"
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swarm:
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topology: hierarchical-mesh
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maxAgents: 15
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autoScale: true
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coordinationStrategy: consensus
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memory:
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backend: hybrid
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enableHNSW: true
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persistPath: .claude-flow/data
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cacheSize: 100
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# ADR-049: Self-Learning Memory
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learningBridge:
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enabled: true
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sonaMode: balanced
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confidenceDecayRate: 0.005
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accessBoostAmount: 0.03
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consolidationThreshold: 10
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memoryGraph:
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enabled: true
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pageRankDamping: 0.85
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maxNodes: 5000
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similarityThreshold: 0.8
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agentScopes:
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enabled: true
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defaultScope: project
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neural:
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enabled: true
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modelPath: .claude-flow/neural
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hooks:
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enabled: true
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autoExecute: true
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mcp:
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autoStart: false
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port: 3000
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