What runtime dependencies are required?
Docker and Docker Compose, Node.js v16 or higher, and a Redis instance with the RedisGraph module.
@samwang0723
基本信息
MCP Server for long term memory graph
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-memory": {
"command": "docker",
"args": [
"exec",
"-it",
"mcp-memory-redis-1",
"redis-cli"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Memory with Redis Graph is a server that implements a memory system for LLM conversations, using Redis Graph as a backend to store memories as nodes in a knowledge graph. It’s designed for developers and AI assistants who need persistent, relational memory for context across sessions.
Run Redis with the RedisGraph module via Docker Compose, then install dependencies with npm install and start the application with npm start. The server exposes tools for creating, retrieving, searching, updating, and deleting memories, as well as managing relationships between them.
create_relation and get_related_memoriesDocker and Docker Compose, Node.js v16 or higher, and a Redis instance with the RedisGraph module.
By default, the application connects to localhost:6379. Update the Redis client configuration in `src/index.ts` to change host or port.
Yes, build the Docker image with `docker build -t mcp/memory .` and run it on the same network as Redis, passing the `REDIS_URL` environment variable.
The README does not specify transport details; it uses the MCP protocol for tool invocation.
Use `npm run check:graph` to see all nodes, Finance memories, and relationships, or `npm run inspect:graph` for a detailed schema and contents.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Search published GPU deployment, rack integration and structured cabling resources; read canonical documents and Leviathan Systems company service scope. Anonymous, read-only Streamable HTTP MCP. No credentials required.

One permissioned folder your team and your AI agents both log into.

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference
评论