9 个#long-term-memory MCP 服务器和客户端
以下 MCP 服务器和客户端均标记为 #long-term-memory——安装后即可让 Claude、Cursor、VS Code 等支持 MCP 的客户端获得 long-term-memory 相关能力。
全部
Evermemos Mcp
tt-a1i
Universal long-term memory layer for AI coding assistants, powered by EverMemOS.
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 — Sovereign AI Horizontal Memory
SAIHM-Admin
What this is
MCP-Mem0: Long-Term Memory for AI Agents
gustavoserafim
Pieces MCP Net
jimbobbennett
An MCP server to interact with Pieces LTM
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.
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
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.
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
常见问题
什么是 #long-term-memory MCP 服务器?
- 标记为 #long-term-memory 的 MCP 服务器实现了 Model Context Protocol,让 Claude、Cursor、VS Code 等 AI 助手可以访问 long-term-memory 相关的工具、数据或 API。
标记为 #long-term-memory 的 MCP 服务器和客户端有多少个?
- mcp.so 目前收录了 9 个标记为 #long-term-memory 的 MCP 服务器和客户端。
如何安装 #long-term-memory MCP 服务器?
- 打开下方任意服务器页面,将安装配置复制到 Claude Desktop、Cursor、VS Code 或其他 MCP 客户端的配置中即可——远程服务器无需单独下载。