Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.

In Memoria

Knowledge & Memory
Persistent Intelligence Infrastructure for AI Agents
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Memory MCP

Knowledge & Memory
A simple MCP server that stores and retrieves memories from multiple LLMs
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Cross-LLM MCP Server

Knowledge & Memory
A Model Context Protocol (MCP) server that provides access to multiple Large Language Model (LLM) APIs including ChatGPT, Claude, and DeepSeek
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📓 GistPad MCP

Knowledge & Memory
📓 An MCP server for managing your personal knowledge, daily notes, and re-usable prompts via GitHub Gists
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RAG Documentation MCP Server

Knowledge & Memory
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
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mcp-server-chatsum

Knowledge & Memory
Query and Summarize your chat messages.
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MCP Server with Mem0 for Managing Coding Preferences

Knowledge & Memory
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ApeRAG

Knowledge & Memory
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
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Zettelkasten MCP Server

Knowledge & Memory
A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.
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Central Memory MCP Server

Knowledge & Memory
A custom fork of @modelcontextprotocol/server-memory using Azure Functions MCP triggers and Table storage.
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