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"Memory systems for AI agents" matching MCP servers:

  • A
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    maintenance
    Local-first, auditable memory for AI agents. Provides durable context for MCP hosts with SQLite storage, CLI, and MCP tools for memory management.
    Last updated
    2
    Apache 2.0
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    Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.
    Last updated
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    A lightweight, fully local MCP server that provides AI coding tools with a shared SQLite memory store and built-in conflict arbitration, enabling structured memory sharing across tools like ZCode, Codex, Cursor, and Claude Code without external dependencies.
    Last updated
    21
    6
    Apache 2.0
  • A
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    quality
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    maintenance
    An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.
    Last updated
    4
    143
    MIT
  • A
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    quality
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    maintenance
    Persistent memory for AI agents with knowledge graph, Hebbian learning, 4-signal RRF fusion search, GraphRAG enrichment, FSRS spaced repetition, and anti-hallucination grounding. 12 tools, PostgreSQL.
    Last updated
    28
    183
    27
    AGPL 3.0
  • F
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    maintenance
    A knowledge graph memory server using SQLite to provide persistent, isolated contexts for organizing information into searchable categories like work and personal projects. It features unique ID-based operations and a token-efficient serialization format designed to optimize interactions with LLMs.
    Last updated
    11
  • A
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    maintenance
    Enables AI assistants to maintain long-term memory by logging and retrieving facts and decisions in a SQLite database, with relevance ranking and full history tracking.
    Last updated
    7
    MIT
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    maintenance
    Enables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.
    Last updated
    6
    1
    MIT
  • A
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    maintenance
    A Model Context Protocol server that allows users to store, retrieve, update, and delete memories using SQLite storage.
    Last updated
    5
    10
    MIT
  • A
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    quality
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    maintenance
    A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.
    Last updated
    14
    MIT
  • A
    license
    A
    quality
    F
    maintenance
    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
  • A
    license
    A
    quality
    F
    maintenance
    A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.
    Last updated
    23
    1
    MIT
  • F
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    Provides FastMCP-based servers with various tools for AI assistants including math operations, file management, note-taking, todo management, and database operations. Offers both basic and advanced server configurations with tools, resources, and prompt templates.
    Last updated
    4
  • A
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    quality
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    maintenance
    Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
    Last updated
    20
    37
    20
    MIT