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"Trending MCP server for memory usage with GitHub Copilot integration" matching MCP servers:

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI tools like GitHub Copilot to manage and persist context using a local JSON-based memory store. Provides CLI, MCP server, and VS Code integration for storing, retrieving, and managing context entries.
    2
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides persistent memory for MCP-compatible agents (like Copilot CLI) to save and recall knowledge across sessions, plus long-running monitoring tools.
  • A
    license
    Not graded
    quality
    A
    maintenance
    Search and read locally-recorded meeting transcripts over stdio. Read-only, no network. Exposes list_sessions, get_session, and search_transcripts to any MCP client.
    6
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Slipstream - Built by Vektor Memory - a persistent multi-layered memory architecture. 4-layer associative graph memory (MAGMA) with autonomous REM cycle, CLI, DXT-MCP Cloak Tools.
    4
  • A
    license
    A
    quality
    B
    maintenance
    A local-first MCP server for durable agent memory using SQLite and FTS5, enabling knowledge graph storage, search, and recall for AI agents.
    20
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Gives any AI tool persistent, searchable memory across sessions using hybrid semantic and keyword search, running 100% locally with no API keys or cloud dependencies.
    6
    1
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server that provides knowledge graph-based persistent memory for LLMs, allowing them to store, retrieve, and reason about information across multiple conversations and sessions.
    9
    70,558
    2
    MIT
  • A
    license
    B
    quality
    Not graded
    maintenance
    Enables agents to maintain persistent memory through three-tiered architecture: short-term session context with TTL, long-term user profiles and preferences, and searchable episodic event history with sentiment analysis. Provides comprehensive memory management for personalized AI interactions.
    7
  • F
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that optimizes token usage by caching data during language model interactions, compatible with any language model and MCP client.
    4
    2
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides Claude Co-work with MCP tools to search and record organizational memory, including search, read, query, ingest, remember, sync, and status operations.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server providing durable Substrate organizational memory tools, including search, read, query, ingest, remember, and sync. It integrates with Codex to automatically capture completed turns and session boundaries for persistent memory.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    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
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.
    16
    MIT