Cheshire Cat AI vs GraphRAG
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Cheshire Cat AI | GraphRAG |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 85 · Excellent | 99 · Excellent |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | GPL-3.0 | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 2,048 MB | 4,096 MB |
| Deployment | docker | source |
| GitHub stars | ★ 3,090 | ★ 36,085 |
| First released | 2023 | 2024 |
| Replaces | OpenAI Assistants | OpenAI Assistants |
What are Cheshire Cat AI and GraphRAG?
Cheshire Cat AI
Cheshire Cat AI is a framework for developing custom AI agents on top of any language model. It provides conversational memory, a plugin system, and a ready-to-use admin panel for building production assistants.
- Long-term memory
- Plugin marketplace
- Model-agnostic
- Admin dashboard
GraphRAG
GraphRAG is a research project from Microsoft that uses LLM-generated knowledge graphs to improve retrieval-augmented generation over private datasets. It can be run locally to index documents and answer complex queries.
- LLM-generated knowledge graphs
- Global and local query modes
- Community summarization
- Works on private data
Cheshire Cat AI vs GraphRAG: key differences
Both projects are written in Python. Licensing differs — GPL-3.0 for Cheshire Cat AI versus MIT for GraphRAG. Cheshire Cat AI is the lighter option, starting around 2,048 MB of RAM against 4,096 MB for GraphRAG. GraphRAG has the considerably larger community, at 36,085 GitHub stars versus 3,090. Cheshire Cat AI lists first-class Docker deployment; GraphRAG does not.
Why pick each one
Choose Cheshire Cat AI if…
- Released under the GPL-3.0 license
- First-class Docker support for quick deployment
- Active community (3.1k GitHub stars)
- Written in Python
Watch out for
- Plugin docs still maturing
- Requires LLM backend
Choose GraphRAG if…
- Better multi-hop answers
- Microsoft research backing
- Works on private data
Watch out for
- Expensive indexing runs
- Research-oriented tooling
Frequently asked questions
Is Cheshire Cat AI or GraphRAG better?
Neither is universally better. GraphRAG has the larger community, while Cheshire Cat AI is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are Cheshire Cat AI and GraphRAG free and open-source?
Yes. Cheshire Cat AI is licensed under GPL-3.0 and GraphRAG under MIT. Both can be self-hosted at no software cost.
Can I run Cheshire Cat AI and GraphRAG with Docker?
Cheshire Cat AI: yes. GraphRAG: check the project docs for container support.
Which is lighter on resources, Cheshire Cat AI or GraphRAG?
Cheshire Cat AI has the smaller minimum footprint at 2,048 MB of RAM, compared to about 4,096 MB for GraphRAG. Real-world usage depends on library size, user count, and enabled features.