Munin Ai Memory

Name: Munin Ai Memory
Author: 3d-era

@3d-era

关于 Munin Ai Memory

Munin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with:

#memory #rag #graphrag #semantic-search #cursor #claude #openclaw #gemini

基本信息

分类

开发工具

传输方式

stdio

发布者

3d-era

提交者

3d-era

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "munin": {
      "command": "npx",
      "args": [
        "-y",
        "@kalera/munin-mcp-server"
      ],
      "env": {
        "MUNIN_API_KEY": "<YOUR_API_KEY>",
        "MUNIN_PROJECT_ID": "<YOUR_PROJECT_ID>"
      }
    }
  }
}

工具

未检测到工具

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。

概览

What is Munin Ai Memory?

Munin Ai Memory is a Full-Stack Long-Term Memory manager powered by GraphRAG that gives AI agents persistent, cross-session memory. It provides official Model Context Protocol (MCP) adapters and SDKs to build, query, and maintain a knowledge graph of an entire project, preventing agents from forgetting past decisions or context.

How to use Munin Ai Memory?

Install the appropriate MCP adapter for your AI tool (e.g., @kalera/munin-claude for Claude Code, @kalera/munin-cursor for Cursor) and connect it to a Munin Context Core. Each adapter directory contains its own setup instructions. The ecosystem also includes TypeScript and Python SDKs for custom integrations.

Key features of Munin Ai Memory

AI Memory Guard detects semantic contradictions in agent memory.
GraphRAG Visualizer creates interactive knowledge graphs and Mermaid diagrams.
Semantic hybrid search (vector + keyword) reduces token costs.
End-to-end encryption with support for semantic search (Elite Tier).
Temporal search by time context (e.g., “what did we decide last Tuesday?”).
Dynamic pinning injects critical project context into every session.
Cross-project memory sharing without copying and pasting.
Memory TTL sets expiration windows

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