head to head · open source
Langflow vs ragflow
Langflow has 156,266 GitHub stars, 10,311 forks, 1,056 open issues and last shipped yesterday. ragflow has 93,365 stars, 11,207 forks, 1,525 open issues and last shipped yesterday. Langflow leads on adoption by 67% (156,266 vs 93,365 stars). Langflow is written in Python under MIT; ragflow is written in Go under Apache-2.0. Langflow has attracted 7% as many forks as stars, ragflow 12%. Langflow was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Langflow | ragflow | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 93K |
| License | MIT | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 10K | ⑂ 11K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 156K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ragflow if
- You want the ragflow feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and ragflow fits your workflow better
About Langflow
Langflow is a powerful platform for building and deploying AI powered agents and workflows. It provides developers with both a visual authoring experience and built in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. ✨ Highlight features Visual builder interface to quickly get started and iterate. Source code access lets you customize any component using Python. Interactive playground to immediately test and…
read the full Langflow overview →
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 →
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Frequently asked questions
Is Langflow or ragflow more popular?
Langflow has 156,266 GitHub stars and ragflow has 93,365. Langflow has the larger community by that measure.
Are Langflow and ragflow free?
Both are open source. Langflow is licensed under MIT and ragflow under Apache-2.0. Neither carries a licence fee.
What is the difference between Langflow and ragflow?
Langflow is written in Python and ragflow in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Langflow or ragflow?
Choose Langflow if you want the larger community (156,266 stars) or its MIT licence terms. Choose ragflow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.