head to head · open source

ragflow vs autoclip

ragflow has 91,606 GitHub stars, 10,876 forks, 1,525 open issues and last shipped yesterday. autoclip has 9,112 stars, 1,667 forks, 13 open issues and last shipped yesterday. ragflow leads on adoption by 905% (91,606 vs 9,112 stars). ragflow is written in Go under Apache-2.0; autoclip is written in Python under MIT. ragflow has attracted 12% as many forks as stars, autoclip 18%. autoclip 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.

ragflow ★ 92K autoclip ★ 9.1K category AI & Machine Learning

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Side by side

ragflow autoclip
GitHub stars ★ 92K ★ 9.1K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-10-02 2026-10-02
Forks ⑂ 11K ⑂ 1.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 92K 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

full ragflow profile →

pick autoclip if

  • You want the autoclip feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and autoclip fits your workflow better

full autoclip profile →

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 autoclip

AutoClip is an open source AI video clipping tool for creators, podcasters, and course makers who want to paste one long video link and get platform ready short clips with subtitles, covers, and publish copy.

read the full autoclip overview →

More in AI & Machine Learning

OpenClaw ★ 391K Hermes Agent ★ 251K Ollama ★ 182K Dify ★ 158K Open WebUI ★ 154K ponytail ★ 152K

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Compare either of these against the rest of the AI Development Platforms field.

ragflow vs Dify ragflow vs ponytail ragflow vs langchain ragflow vs graphify ragflow vs generative-ai-for-beginners ragflow vs claude-mem ragflow vs PaddleOCR ragflow vs Agent-Reach ragflow vs headroom ragflow vs Mem0 ragflow vs daily_stock_analysis ragflow vs LiteLLM

Frequently asked questions

Is ragflow or autoclip more popular?

ragflow has 91,606 GitHub stars and autoclip has 9,112. ragflow has the larger community by that measure.

Are ragflow and autoclip free?

Both are open source. ragflow is licensed under Apache-2.0 and autoclip under MIT. Neither carries a licence fee.

What is the difference between ragflow and autoclip?

ragflow is written in Go and autoclip 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 autoclip?

Choose ragflow if you want the larger community (91,606 stars) or its Apache-2.0 licence terms. Choose autoclip if its feature set, stack or MIT licence fits better. Both are self-hostable.