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    An MCP server that treats Obsidian vaults as knowledge graphs, enabling AI agents to traverse wikilinks, assemble token-budgeted context, and search with backlink awareness.
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    Provides cross-session memory for Claude Code by extracting structured handoffs at session end and retrieving relevant past context at session start.
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    MIT
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    docshelf-mcp manages AI-friendly document collections — converts PDFs and Markdown into chapter-split shelves with a single navigation INDEX, so AI agents can fetch only the relevant section by raw URL instead of choking on a 4 MB datasheet. Repo: https://github.com/ignatenkofi/docshelf-mcp
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    MIT
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    Connects Claude Desktop to a RAGBrain knowledge base to enable semantic search, document retrieval, and namespace management. It allows users to browse collections, discover documents by topic, and access full text content through natural language.
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    MIT
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    With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration. With MCP, it can: Store stable user facts and preferences after answering using the advanced_augmentation tool Recall relevant memories before answering using the recall tool Maintain context across sessions us
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    MIT
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    A local MCP server that gives AI assistants a long-term memory by capturing sessions verbatim and surfacing relevant context automatically.
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    MIT
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    A persistent memory MCP server for Claude Code that automatically saves conversations and retrieves relevant history across sessions to provide context.
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    Compresses context for AI agents by storing memories in compact markdown files with FTS5 search, enabling fast retrieval of relevant information while saving tokens.
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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