head to head · open source
ragflow vs Agno
ragflow has 90,911 GitHub stars, 10,764 forks, 1,525 open issues and last shipped yesterday. Agno has 42,226 stars, 5,947 forks, 1,419 open issues and last shipped 2 days ago. ragflow leads on adoption by 115% (90,911 vs 42,226 stars). ragflow is written in Go under Apache-2.0; Agno is written in Python under Apache-2.0. ragflow has attracted 12% as many forks as stars, Agno 14%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, ai-agents), 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
| ragflow | Agno | |
|---|---|---|
| GitHub stars | ★ 91K | ★ 42K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 11K | ⑂ 5.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ragflow if
- You weight community size — 91K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick Agno if
- You want the Agno feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Agno fits your workflow better
About ragflow
RAGFlow is an open source Retrieval Augmented Generation engine that fuses RAG with agent capabilities into a context layer for large language models, built for developers and teams that need to turn complex, unstructured documents into production AI systems.
read the full ragflow overview →
About Agno
Agno is a model agnostic platform for building, running, and managing AI agent platforms. It provides both a Python SDK for agent development and a runtime environment (AgentOS) for serving agents as services, backed by a web based control plane. Agno lives in the Python based AI development ecosystem and targets teams seeking full ownership of their agent infrastructure without vendor lock in.
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Frequently asked questions
Is ragflow or Agno more popular?
ragflow has 90,911 GitHub stars and Agno has 42,226. ragflow has the larger community by that measure.
Are ragflow and Agno free?
Both are open source. ragflow is licensed under Apache-2.0 and Agno under Apache-2.0. Neither carries a licence fee.
What is the difference between ragflow and Agno?
ragflow is written in Go and Agno 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, ragflow or Agno?
Choose ragflow if you want the larger community (90,911 stars) or its Apache-2.0 licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.