head to head · open source

ragflow vs nexent

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. nexent has 5,873 stars, 731 forks, 265 open issues and last shipped today. ragflow leads on adoption by 1,450% (91,015 vs 5,873 stars). ragflow is written in Go under Apache-2.0; nexent is written in Python under MIT. ragflow has attracted 12% as many forks as stars, nexent 12%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agentic-ai, ai, harness-engineering), 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 ★ 91K nexent ★ 5.9K category AI & Machine Learning

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Side by side

ragflow nexent
GitHub stars ★ 91K ★ 5.9K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-09-20 2026-09-20
Forks ⑂ 11K ⑂ 731
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

full ragflow profile →

pick nexent if

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

full nexent 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 nexent

Nexent is a zero code Python platform that auto generates production grade AI agents from natural language prompts, built on Harness Engineering principles and aimed at developers and teams who want deployable agent systems without drag and drop orchestration.

read the full nexent overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Development Platforms projects

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

ragflow vs Dify ragflow vs langchain ragflow vs ponytail ragflow vs generative-ai-for-beginners ragflow vs graphify 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 nexent more popular?

ragflow has 91,015 GitHub stars and nexent has 5,873. ragflow has the larger community by that measure.

Are ragflow and nexent free?

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

What is the difference between ragflow and nexent?

ragflow is written in Go and nexent 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 nexent?

Choose ragflow if you want the larger community (91,015 stars) or its Apache-2.0 licence terms. Choose nexent if its feature set, stack or MIT licence fits better. Both are self-hostable.