GH Repository · apecloud
ApeRAG
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
- stars
- 1,317
- 30-day movement
- +21/day
- Related entries
- 60
- Connections
- 1
makepython/uvpythondockerPythoncontext-engineeringmcpmcp-servergraphragknowledge-graphagents
ApeRAG is a Python-based GraphRAG platform that indexes content into knowledge graphs with multi-modal support and exposes retrieval through an MCP server and AI agents. It ships with Docker, Make, and uv tooling and is designed for scalable Kubernetes deployment.
You want production-oriented GraphRAG retrieval that plugs into agent workflows via MCP.
Use it to
- Index documents into a knowledge graph
- Serve retrieval over MCP to agents
- Deploy on Kubernetes
- Run multi-modal indexing pipelines
For Teams building agent or RAG systems
- Role
- mcp-server
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 147
- Open issues
- 34
- Last push
- 2026-09-12
- Latest release
- v0.1.0 · 2023-07-25
topicsgraphragknowledge-graphmcpagentscontext-engineeringkubernetes