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    Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
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    MIT
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    mnemo — an MCP server for agent memory with a first-class correction & erasure channel (revert, lineage-aware retraction, tamper-evident deletion receipts). Zero dependencies, 12 tools over stdio
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    MIT
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    Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.
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    MIT
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    Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp
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    MIT
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    Enables problem-solving using a structured wisdom framework inspired by the Lotus Sutra, combining analytical thinking with intuitive wisdom through multi-faceted contemplative approaches and meditation pauses.
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    MIT
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    An MCP server implementing the Unified Cognitive Processing Framework for advanced problem-solving, creative thinking, and cognitive analysis through structured tools for knowledge mapping, recursive questioning, and perspective generation.
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    A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.
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    MIT
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    A high-performance persistent memory layer for AI agents with multi-modal support, 47 retrieval channels, and 50-tier guardian chains, integrating 12+ memory approaches into a unified architecture.
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    MIT
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    Enables chat with multiple LLM providers (OpenAI and Anthropic) while maintaining persistent conversation memory. Provides extensible tool framework for various operations including echo functionality and conversation storage/retrieval.
    MIT
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    Search, traverse and edit your Filamental knowledge graph from any MCP-compatible AI client. Local-first, no cloud, no auth required. 12 tools for reading and writing nodes and edges.
    MIT
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    Enables AI applications to use advanced memory management capabilities through the memU AI framework. Supports storing conversation memories, semantic retrieval, multi-user management, and memory statistics via standardized MCP protocol.
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    MIT
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    Framework-agnostic MCP server for agent memory with Postgres + pgvector, enabling persistent memory, recall, and task management across sessions.
    MIT
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    Provides QE Framework expert-library guidance with compact search and recommendation tools, returning full expert content only on explicit request.
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    MIT
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    A narrative graph engine that enables LLMs to generate, track, and mutate complex fictional worlds while maintaining consistency between factions, characters, and locations. It acts as a specialized RAG framework for storytelling, allowing models to manage thousands of entities without exceeding context limits.
    MIT
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    OpenCrab provides an MCP interface for the MetaOntology OS, enabling structured knowledge management across graph, vector, and document databases. It allows agents to perform hybrid searches, manage complex entity relationships, and conduct impact analysis within a multi-space ontological framework.
    103
    MIT
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    Provides semantic search and knowledge base management for the micro-app micro-frontend framework by ingesting its source code and documentation.
    18
    MIT
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    A pluggable, observable modular RAG service framework that exposes tool interfaces via the MCP protocol, enabling AI assistants like Copilot and Claude to directly query knowledge bases.
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    Self-hosted knowledge manager and MCP server that lets you organize snippets, questions, and documents via a web UI and exposes them to AI assistants for reading and writing.
    MIT