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  • A
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    Enables AI coding assistants to perform local semantic code search using AST parsing and embeddings, finding code by meaning with exact file and line locations, plus AST-based usage lookup.
    4
    MIT
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    Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.
    1
    24
    MIT
  • A
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    B
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    Enables AI agents to retrieve relevant sections from indexed files (documents, code, etc.) via hybrid semantic/BM25 search, with citations, through the Model Context Protocol.
    Apache 2.0
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    Persistent, auditable memory for AI agents. Hybrid BM25 + vector recall with 18 MCP tools, adaptive block metadata (A-MEM), intent-aware routing, contradiction detection, and governance workflows. Zero external dependencies. Drop-in memory for Claude Code and any MCP-compatible agent.
    16
    Apache 2.0
  • A
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    maintenance
    A modular RAG framework exposing MCP tools for hybrid document search, enabling AI assistants to query private knowledge bases with multimodal support and full observability.
    MIT
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    A tool that helps easily register Anthropic's Model Context Protocol (MCP) in Claude Desktop and Cursor, providing RAG functionality, Dify integration, and web search capabilities.
    185
    MIT