head to head · open source
DB-GPT vs R2R
DB-GPT has 20,261 GitHub stars, 3,001 forks, 439 open issues and last shipped yesterday. R2R has 8,057 stars, 652 forks, 126 open issues and last shipped 12 months ago. DB-GPT leads on adoption by 151% (20,261 vs 8,057 stars). DB-GPT is written in Python under MIT; R2R is written in Python under MIT. DB-GPT has attracted 15% as many forks as stars, R2R 8%. DB-GPT was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (rag), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| DB-GPT | R2R | |
|---|---|---|
| GitHub stars | ★ 20K | ★ 8.1K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2025-11-07 |
| Forks | ⑂ 3.0K | ⑂ 652 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick DB-GPT if
- You weight community size — 20K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick R2R if
- You want the R2R feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and R2R fits your workflow better
About DB-GPT
DB GPT: Open Source Agentic AI Data Assistant Documents Contact Us Community Paper An open source AI data assistant that connects to your data, writes SQL and code, runs skills in sandboxed environments, and turns analysis into reports, insights, and action. What is DB GPT? DB GPT is an open source agentic AI data assistant for the next generation of AI + Data products. It helps users and teams: connect to databases, CSV / Excel files, warehouses, and knowledge bases ask questions in natural language and let AI write SQL autonomously run Python and code driven analysis workflows load and execute reusable skills…
read the full DB-GPT overview →
About R2R
The most advanced AI retrieval system. Agentic Retrieval Augmented Generation (RAG) with a RESTful API. Docs · Report Bug · Feature Request · Discord About R2R is an advanced AI retrieval system supporting Retrieval Augmented Generation (RAG) with production ready features. Built around a RESTful API, R2R offers multimodal content ingestion, hybrid search, knowledge graphs, and comprehensive document management. R2R also includes a Deep Research API , a multi step reasoning system that fetches relevant data from your knowledgebase and/or the internet to deliver richer, context aware answers for complex queries…
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Frequently asked questions
Is DB-GPT or R2R more popular?
DB-GPT has 20,261 GitHub stars and R2R has 8,057. DB-GPT has the larger community by that measure.
Are DB-GPT and R2R free?
Both are open source. DB-GPT is licensed under MIT and R2R under MIT. Neither carries a licence fee.
What is the difference between DB-GPT and R2R?
DB-GPT is written in Python and R2R in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, DB-GPT or R2R?
Choose DB-GPT if you want the larger community (20,261 stars) or its MIT licence terms. Choose R2R if its feature set, stack or MIT licence fits better. Both are self-hostable.