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"How to improve memory or retention like GPT models" matching MCP servers:

  • GPT-MCP Bridge

    bzzimmy
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    Enables Claude and other MCP-compatible tools to communicate with OpenAI's GPT models (GPT-5, GPT-5-mini, o3) with conversation history and session management. Features advanced controls like reasoning effort settings, token tracking, and parallel conversation sessions for efficient AI workflows.
    Last updated
    0

  • Todoist GPT MCP

    oliviercp
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    Enables GPT to interact with Todoist tasks and projects through direct API calls or a local SQLite mirror. Supports reading task data via SQL queries, creating/updating/deleting tasks and projects, and synchronizing data between Todoist and the local mirror.
    Last updated

  • repo-memory

    yubinkim444
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    quality
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    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
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    5
    1
    MIT

  • mcp-memory

    Yarlan1503
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    A drop-in replacement for Anthropic's memory server that utilizes SQLite to ensure data integrity and concurrent access. It enhances the original functionality with semantic search capabilities using vector embeddings and ONNX models.
    Last updated
    11
    1
    MIT

  • Memory Custom

    BRO3886
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    quality
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    A customized MCP memory server that enables creation and management of a knowledge graph with features like custom memory paths and timestamping for capturing interactions via language models.
    Last updated
    10
    4
    MIT

  • Models PLUS

    Vivek-k3
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    Provides comprehensive AI model metadata through MCP, enabling search and filtering of 100+ AI models by capabilities, pricing, context length, and provider specifications.
    Last updated

  • AgentKits Memory

    aitytech
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    quality
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    A local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.
    Last updated
    84
    61
    MIT

  • Memory MCP

    a157034816
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    A Rust-based MCP server that provides long-term memory capabilities for AI agents using keyword-based storage and retrieval. It supports isolated namespaces for different users or projects, allowing LLMs to remember and recall information across sessions.
    Last updated