MCP Synaptic
Memory-enhanced MCP server with local RAG database and expiring memory capabilities
Directory
Memory-enhanced MCP server with local RAG database and expiring memory capabilities
SAIHM is an MCP server that provides a sovereign, encrypted, sharable, persistent memory layer for AI agents. It exposes eight tools for storing, recalling…
Memory MCP Server is an MCP server that provides memory capabilities, using Qdrant as the underlying vector store.
Persistent memory for AI agents with Ebbinghaus forgetting curve decay, hybrid BM25 + vector + knowledge graph retrieval, temporal reasoning, and a local…
A Model Context Protocol server that provides knowledge graph management capabilities.
An MCP server to extend the context of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or changes or…
Engram is a production-ready memory system that gives AI agents persistent, searchable memory across conversations. Think of it as SQLite for agent state -…
Memory Cache Server is a Model Context Protocol (MCP) server that reduces token consumption by automatically caching data between language model interactions…
Your AI Agent's Persistent Brain - A Comprehensive Memory & Task Management System
Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Markdown). Works with…
Smriti is a Model Context Protocol (MCP) server that provides persistent, graph-based memory for LLM applications. Built on LadybugDB (embedded property graph…
Persistent local memory for Claude, Cursor & Codex. 21 MCP tools, hybrid retrieval (BM25 + vector RRF), bi-temporal queries, contradiction detection. SQLite +…
Local-first, audit-safe memory for Claude Code and MCP clients.
Local-first agent memory MCP — Claude Code, Cursor, OpenAI Codex, and Gemini CLI share one SQLite brain. 6-layer structured memory…
Privacy-preserving, decentralized memory infrastructure for AI agents. Post-quantum encrypted persistent memory with cross-session, cross-platform, and…
<h1 align="center">MCP-Mem0: Long-Term Memory for AI Agents</h1> <p align="center"> <img src="public/Mem0AndMCP.png" alt="Mem0 and MCP Integration"…
A shared memory and coordination server for multiple AI coding agents, built on the Model Context Protocol
This is a personal project to test Claude AI's ability to self-write an MCP Server code for its own use.
Persistent memory for any AI assistant. Zero token cost until recall. Stores memories locally in SQLite, ranks by 6-factor scoring, returns results in TOON…
It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add…
6-tier AI memory system with 28 MCP tools — episodic memory, knowledge graphs, document storage, session ledger, auth & GDP 6-tier AI memory system with 28 MCP…
Shared memory across your team and your AI agents — with judgment.
A Model Context Protocol (MCP) server that enables AI consciousness persistence across sessions using RAG (Retrieval-Augmented Generation) technology. Built on…
Self-improving MCP memory server for AI agents. One command, no cloud, no config. Hybrid search, feedback loop quality system, dashboard UI, auto-linking…