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why-do-models-always-lose-memory-and-have-poor-memory-retention MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

17,809 servers. Last updated 2026-02-25 22:24

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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 19 days ago
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    MIT
    • Apple
    • Linux
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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 a year ago
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    MIT
    • Apple
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    Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.
    Last updated a month ago
    MIT
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    Enables AI assistants to remember user information and preferences across conversations using vector search technology. Built on Cloudflare infrastructure with isolated user namespaces for secure, persistent memory storage.
    Last updated 3 months ago
    10

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