@meetdhanani17
基本信息
Global MCP server that manage all the project data,
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"zmem": {
"command": "npx",
"args": [
"ts-node",
"index.ts"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
zmem MCP Memory Server is a TypeScript-based Model Context Protocol (MCP) server that enables project-specific and knowledge graph-based memory for Claude, LLM agents, and other tools. It supports storing, retrieving, and managing entities, relations, and observations per project, with a focus on flexibility and cross-project knowledge sharing.
To use zmem, add it to your MCP configuration (e.g., for Windsurf) with the command and path to the built index. Install dependencies, build, and run via npm or Docker. Use the MCP client to call tools such as save_project_observations with a project ID and observations. Persisted memory files are stored in a configurable directory (default /app/memories).
It exposes tools for saving and getting project observations, adding graph observations, creating entities and relations, deleting entities/observations/relations, reading the graph, searching nodes, searching all projects, opening nodes, and copying memory.
Memories are persisted to disk in a `memories` directory (configurable via the `MEMORY_DIR_PATH` environment variable, default `/app/memories`).
Yes. Build the Docker image with `docker build -t zmem-mcp-server` and run it with a volume mount to persist memories.
Call the `save_project_observations` tool via the MCP API with a `projectId` and an array of observations, each containing an `entityName` and `contents` array.
zmem is TypeScript-based and requires Node.js. Install dependencies with `npm install`, build with `npm run build`, and run with `npm start` for production.
Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.
Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Local MCP server and CLI that keeps a Git-versioned, model-written index of a codebase and its database schema, so coding agents start each task with the whole system in view.
Sooveryn gives Claude Code a team of AI personas that remembers your project. Soov, the partner and team lead, keeps your decisions and how you work in a lasting memory, and finds them again by words and by meaning, from
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