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1. Commits on Dec 31, 2025

   • chore: Update NAPI-RS binaries for all platforms

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   • Merge pull request #94 from ruvnet/feature/mcp-server

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   • Merge branch 'main' into feature/mcp-server

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   • feat(edge): add Web Workers configuration to generator

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   • docs(edge): add Web Workers section with understandable language

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   • docs(edge): update source README with npm package and consensus modes

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   • chore: Update NAPI-RS binaries for all platforms

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   • feat(edge): add Web Worker pool for parallel operations

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   • Update README.md

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   • chore: Update NAPI-RS binaries for all platforms

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   • Merge pull request #93 from ruvnet/feature/mcp-server

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   • docs(edge): clarify Raft vs Gossip+CRDT consensus modes

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   • docs(edge): highlight self-learning capabilities in intro

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   • docs(edge): clarify full platform capabilities and edge-full integration

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   • feat(edge-full): add unified WASM package with all modules

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   • feat(edge): add interactive swarm generator with MCP tools

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   • docs(edge): add free infrastructure guide with tables

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   • docs(edge): add comprehensive tutorial-style README

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   • feat(edge): add WASM bindings and publish @ruvector/edge v0.1.1

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   • docs(edge): improve README with free edge swarm introduction

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   • feat(edge): add WASM npm package @ruvector/edge

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   • docs(edge): comprehensive README overhaul

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   • feat(edge/p2p): complete RuVector advanced integrations

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   • feat(edge/p2p): add advanced RuVector integrations

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   • docs(edge): Update README with P2P Swarm security documentation

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   • feat(edge): Production-grade P2P Swarm with Ed25519/X25519 crypto

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   • chore: update intelligence data and version bump to v0.1.71

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   • feat(edge): add ruv-swarm-transport integration example

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   • feat: add batch learning and real-time subscriptions

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   • fix: defensive checks for Q-learning patterns and data loading

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   • feat: Full v2.1 upgrade with multi-algorithm learning and TensorCompress (v0.1.69)

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   • fix: robust sessionEnd with full data structure validation (v0.1.68)

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   • fix: handle undefined stats in sessionEnd (v0.1.67)

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   • feat: add TensorCompress and multi-algorithm LearningEngine (v0.1.66)

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   • docs: update README with v2.0 features

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