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Knowledge Graph Memory for AI Agents

Ryumem is an open-source bi-temporal knowledge graph memory system that gives your AI agents intelligent, long-term memory with automatic tool tracking and query augmentation.

5-Minute Quickstart

Build your first memory-enabled agent

Self-Hosted Setup

Deploy Ryumem with Docker Compose

MCP Server

Add memory to Claude Desktop and coding agents

Core Concepts

Understand how Ryumem works
Open Source: Ryumem is open source under the AGPL-3.0 license. Self-host it on your own infrastructure or contribute on GitHub.
Components:
  • API Server - FastAPI backend with REST API
  • Dashboard - Next.js web UI for visualization
  • MCP Server - Model Context Protocol server for AI agents
  • Python SDK - Client library for Python applications

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Key Features

Episode-Based Storage

Store conversations and facts as episodes that get automatically parsed into knowledge graphs

Smart Retrieval

Semantic + keyword + graph traversal search with temporal decay scoring

Auto-Deduplication

Embedding-based entity resolution prevents duplicate memories

Contradiction Handling

Automatically detects and resolves conflicting facts

Memory Pruning

Removes expired and obsolete information automatically

Web Dashboard

Modern Next.js UI with graph visualization and analytics

GitHub Repository

Star the repo, report issues, contribute

Python SDK on PyPI

Install with pip install ryumem