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"Understanding Context Memory in Chat Systems" matching MCP servers:

  • Chat Context MCP

    aolshaun
    F
    license
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    quality
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    maintenance
    Enables AI to automatically search, retrieve, and organize your Cursor chat history across sessions. Supports tagging, nicknames, project-scoped search, and full-text search to maintain context between conversations.
    Last updated

  • Systems MCP

    lethain
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    license
    B
    quality
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    maintenance
    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
    Last updated
    2
    14
    MIT
  • @git-fabric/chat by git-fabric

    @git-fabric/chatofficial

    git-fabric
    F
    license
    A
    quality
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    maintenance
    An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.
    Last updated
    12

  • Context Memory Updater

    phnx
    F
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    quality
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    Enables LLM assistants to store, retrieve, and update user-specific context memory including travel preferences and general information through a chat interface. Provides analytics on tool usage patterns and token costs for continuous improvement.
    Last updated

  • MCP Chat

    hbd
    A
    license
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    quality
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    maintenance
    A server that enables users to chat with each other by repurposing the Model Context Protocol (MCP), designed for AI tool calls, into a human-to-human communication system.
    Last updated
    4
    5
    MIT

  • All-in-MCP

    isomoes
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    license
    C
    quality
    B
    maintenance
    Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.
    Last updated
    7
    2
    MIT

  • anneal-memory

    phillipclapham
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    quality
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    maintenance
    Two-layer memory for AI agents. Episodes compress into identity. The only MCP memory server with an immune system. Patterns earn permanence through evidence, false knowledge gets caught and demoted, and stale information fades — so your agent's memory gets smarter over time, not just bigger. Zero dependencies. 5 tools. Works with any MCP client.
    Last updated
    6
    6
    MIT

  • Context Mode

    mksglu
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    quality
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    maintenance
    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
    Last updated
    11
    31,911
    15,813
    Elastic 2.0

  • repo-memory

    yubinkim444
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    quality
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    maintenance
    A different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep
    Last updated
    5
    1
    MIT

  • OpenClaw Memory

    liuhao6741
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    quality
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    maintenance
    Automatically records AI conversation turns and code changes to local Markdown files to provide persistent context across chat sessions. It enables AI agents to search history through MCP tools and provides a web viewer for browsing past discussions.
    Last updated
    3
    4
    Apache 2.0

  • celiums-memory

    terrizoaguimor
    A
    license
    A
    quality
    B
    maintenance
    Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.
    Last updated
    26
    12
    Apache 2.0

  • Context-first

    XJTLUmedia
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    quality
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    maintenance
    Long AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp
    Last updated
    6
    8
    MIT