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    An MCP server that provides graph-aware tools for interacting with Little Big Brain knowledge graphs, enabling search, query, commit, and configuration operations via natural language.
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    Apache 2.0
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    A self-learning AI standards system that automatically detects patterns from user corrections and updates AI configuration files. Learns from repeated corrections (like 'use uv not pip') and automatically generates CLAUDE.md and other AI assistant configuration files.
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    MIT
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    Enables LLM agents to access a private knowledge base through MCP by automatically chunking and indexing .txt documents, with zero configuration and no Docker or vector database required.
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    MIT
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    Manages Claude Code configuration and provides cross-session intelligent memory via the Luoshu system, enabling Claude to remember decisions and project context across conversations.
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    MIT
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    Enables AI assistants to maintain persistent conversations and context between sessions through automated saving and global installation across projects. Provides zero-configuration memory persistence with automatic conversation history preservation.
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    An in-memory knowledge graph MCP server that gives coding agents structural and semantic recall over codebases by indexing Python source, ADR documents, and project configuration, exposing 7 tools for search, traversal, context retrieval, and natural-language Q&A.
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    Connects BookStack knowledge bases to Claude through 47+ tools covering complete CRUD operations for books, pages, chapters, shelves, users, search, attachments, and permissions. Enables full management of BookStack content and configuration through natural language.
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    MIT
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    Integrates Dify's external knowledge base API with the Model Context Protocol to enable AI agents to retrieve and query relevant information. It supports relevance scoring, metadata filtering, and flexible configuration through environment variables or command-line arguments.
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    MIT
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    A bridge between LLMs and OpenWebUI workspaces that enables managing projects, notes, and knowledge bases. It supports safe project configuration updates through a propose-evaluate-apply workflow and direct file uploads to knowledge bases.
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    MIT