Munin Ai Memory
@3d-era
About 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:
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"munin": {
"command": "npx",
"args": [
"-y",
"@kalera/munin-mcp-server"
],
"env": {
"MUNIN_API_KEY": "<YOUR_API_KEY>",
"MUNIN_PROJECT_ID": "<YOUR_PROJECT_ID>"
}
}
}
}Tools
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Overview
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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