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    Local-first MCP server that watches your coding sessions and injects a compact summary at the start of each new session. 85.6% token reduction, SQLite storage, no cloud. Works with Claude Code, Cursor, Cline, and Windsurf.
    13
    17
    7
    MIT
  • A
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    quality
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    maintenance
    Memento is a local-first MCP server that gives AI coding agents durable project memory — facts, decisions, patterns, and architecture notes — so they stop re-learning the same context every session. Runs locally on Node.js 18+ with SQLite storage and optional cloud embeddings; works with Claude Code, Cursor, Windsurf, and any MCP client.
    19
    14
    2
    MIT
  • A
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    Self-hosted memory and governance layer for AI coding agents. 28 MCP tools with hybrid search, structured knowledge capture, behavioral nudges, and git-native storage. Zero cloud dependencies.
    30
    4
    Business Source 1.1
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    MCP server that connects any AI to your Obsidian vault. Save articles from your phone, search across notes, build a compounding knowledge base. 15 tools, three transport modes (stdio, HTTP, cloud), zero-install Google Drive OAuth onboarding.
    15
    12
    MIT
  • A
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    MCP server that gives Claude Code and other MCP clients persistent memory using plain Markdown notes stored on your disk and optionally synced to cloud storage (iCloud, OneDrive, Google Drive, Dropbox).
    36
    1
    MIT
  • A
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    Provides persistent memory for AI assistants via MCP, enabling them to store and recall facts, preferences, and tasks across conversations using either local file storage or a cloud backend with semantic search.
    5
    7
    MIT
  • F
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    quality
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    Provides long-term memory storage for AI assistants with semantic search, enabling persistent storage of preferences, decisions, and context with relationship tracking between memories.
    19
  • F
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    A local-first, privacy-first MCP server that passively indexes personal digital activity (screenshots, clipboard, notes, downloads, links) into a local database, enabling LLMs like Claude to access your context without cloud storage.
    4
  • F
    license
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    A lightweight MCP server that provides persistent knowledge graph storage for AI assistants, enabling memory across sessions through entity-relationship storage with JSON file persistence.
    10
    1
  • A
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    quality
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    A Model Context Protocol server that allows users to store, retrieve, update, and delete memories using SQLite storage.
    5
    10
    MIT
  • A
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    quality
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    An intelligent memory MCP server that provides AI applications with semantic search, entity extraction, and knowledge graph capabilities using local Redis caching and optional cloud sync. It enables LLMs to store and retrieve long-term context across sessions with high-performance multi-tier storage.
    12
    7
    2
    MIT
  • A
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    quality
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    MCP server providing persistent memory management for AI agents using SQLite and FTS5, enabling storage, full-text search, and recall of memories with namespace isolation.
    1
    MIT
  • A
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    quality
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    Persistent, searchable memory for AI agents over the Model Context Protocol, enabling memory storage, full-text search with BM25 ranking, and retrieval across sessions.
    11
    MIT
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    quality
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    maintenance
    Privacy-first personal knowledge database for your AI that ingests data exports (Google Takeout first) and exposes them via MCP tools like search and list items. Runs locally with no cloud or telemetry.
    MIT
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    A lightweight server that provides persistent memory and context management for AI assistants using local vector storage and database, enabling efficient storage and retrieval of contextual information through semantic search and indexed retrieval.
    2
    MIT
  • A
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    quality
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    A persistent AI memory server that enables storage and retrieval of context and project artifacts across conversations. It features full-text search, version history, and automatic content chunking using local SQLite or hosted cloud storage.
    7
    Apache 2.0