Cheshire Cat AI vs R2R
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 | R2R |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 85 · Excellent | 52 · Fair |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | GPL-3.0 | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 4,096 MB |
| Deployment | docker | docker, source |
| GitHub stars | ★ 3,090 | ★ 8,004 |
| First released | 2023 | 2024 |
| Replaces | OpenAI Assistants | OpenAI Assistants |
What are Cheshire Cat AI and R2R?
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
R2R
R2R (RAG to Riches) is a retrieval-augmented generation engine that bundles ingestion, hybrid search, knowledge graphs, and agentic reasoning behind a single API. It is designed for self-hosted production deployment of document question answering.
- Hybrid and graph search
- Document ingestion pipeline
- Agentic RAG endpoints
- User and collection management
Cheshire Cat AI vs R2R: key differences
Both projects are written in Python. Licensing differs — GPL-3.0 for Cheshire Cat AI versus MIT for R2R. Cheshire Cat AI is the lighter option, starting around 2,048 MB of RAM against 4,096 MB for R2R. R2R has the considerably larger community, at 8,004 GitHub stars versus 3,090.
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 R2R if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8k GitHub stars
- Written in Python
Frequently asked questions
Is Cheshire Cat AI or R2R better?
Neither is universally better. R2R has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Cheshire Cat AI and R2R free and open-source?
Yes. Cheshire Cat AI is licensed under GPL-3.0 and R2R under MIT. Both can be self-hosted at no software cost.
Can I run Cheshire Cat AI and R2R with Docker?
Cheshire Cat AI: yes. R2R: yes.
Which is lighter on resources, Cheshire Cat AI or R2R?
Cheshire Cat AI has the smaller minimum footprint at 2,048 MB of RAM, compared to about 4,096 MB for R2R. Real-world usage depends on library size, user count, and enabled features.