head to head · open source
ragflow vs Agno
ragflow has 93,365 GitHub stars, 11,207 forks, 1,525 open issues and last shipped yesterday. Agno has 43,019 stars, 6,229 forks, 1,419 open issues and last shipped yesterday. ragflow leads on adoption by 117% (93,365 vs 43,019 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%. Agno 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 | ★ 93K | ★ 43K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 11K | ⑂ 6.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ragflow if
- You weight community size — 93K 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
Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…
read the full ragflow overview →
About Agno
Build, run, and manage agent platforms. Introduction Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Build your agent platform using the Agno SDK. Run your agent platform using the AgentOS runtime. Manage everything using the AgentOS UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Get started Hand this prompt to your coding agent (Claude Code, Cursor, Codex): Your coding agent…
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Frequently asked questions
Is ragflow or Agno more popular?
ragflow has 93,365 GitHub stars and Agno has 43,019. 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 (93,365 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.