head to head · open source

ragflow vs liteflow

ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. liteflow has 3,896 stars, 526 forks, 64 open issues and last shipped 2 months ago. ragflow leads on adoption by 2,299% (93,460 vs 3,896 stars). ragflow is written in Go under Apache-2.0; liteflow is written in Java under Apache-2.0. ragflow has attracted 12% as many forks as stars, liteflow 14%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.

ragflow ★ 93K liteflow ★ 3.9K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

ragflow liteflow
GitHub stars ★ 93K ★ 3.9K
License Apache-2.0 Apache-2.0
Written in Go Java
Last push 2026-11-04 2026-09-21
Forks ⑂ 11K ⑂ 526
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

full ragflow profile →

pick liteflow if

  • You want the liteflow feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and liteflow fits your workflow better

full liteflow profile →

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 liteflow

中文 Your star is my motivation to keep going. If you like LiteFlow, please help me with a star in the upper right corner. Overview LiteFlow is a powerful, modern rules engine framework that combines the best of orchestration and rules engines. It can be used in the field of complex componentized business orchestration. DSL rules drive the whole complex business, and can achieve smooth refresh hot deployment, supporting the embedding of multiple scripting language rules. Help the system become more silky and flexible. LiteFlow was officially open sourced in 2020 and has since become an indispensable presence in…

read the full liteflow overview →

More in AI & Machine Learning

Related comparisons

More AI Development Platforms projects

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

Frequently asked questions

Is ragflow or liteflow more popular?

ragflow has 93,460 GitHub stars and liteflow has 3,896. ragflow has the larger community by that measure.

Are ragflow and liteflow free?

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

What is the difference between ragflow and liteflow?

ragflow is written in Go and liteflow in Java. 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 liteflow?

Choose ragflow if you want the larger community (93,460 stars) or its Apache-2.0 licence terms. Choose liteflow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.