9 件の#long-term-memory MCP サーバー & クライアント

Evermemos Mcp

tt-a1i

Universal long-term memory layer for AI coding assistants, powered by EverMemOS.

Pieces MCP Net

jimbobbennett

An MCP server to interact with Pieces LTM

memory-mcp-server

ta-tomschell

A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across multiple sessions. It uses semantic search with embeddings to provide relevant co

Hindsight Mempalace

holetron

Self-hosted long-term memory for AI agents. An MCP server that gives agents persistent, hierarchical recall (L0–L3) over pgvector — retain preferences, decisions and observations, then recall them by topic across sessions. MIT, clone-and-run, requires Postgres + pgvector.

Memanto MCP

moorcheh-ai

MEMANTO is a memory agent. It remembers, recalls, and answers - so your agents can achieve long-term goals and avoid confusion.

MCP-Mem0: Long-Term Memory for AI Agents

coleam00

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

@saihm/mcp-server-pro

SAIHM-Admin

What this is

SelfMemory

SelfMemory

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 memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking