head to head · open source
ragflow vs nexent
ragflow has 93,496 GitHub stars, 11,224 forks, 1,525 open issues and last shipped yesterday. nexent has 6,133 stars, 771 forks, 265 open issues and last shipped yesterday. ragflow leads on adoption by 1,424% (93,496 vs 6,133 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 13%. 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.
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Side by side
| ragflow | nexent | |
|---|---|---|
| GitHub stars | ★ 93K | ★ 6.1K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 11K | ⑂ 771 |
| 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 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
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 nexent
Nexent is a zero code platform for auto generating production grade AI agents, built on Harness Engineering principles. It provides unified tools, skills, memory, and orchestration with built in constraints, feedback loops, and control planes — no orchestration, no complex drag and drop required, using pure language to develop any agent you want. One prompt. Endless reach. Watch the demo video 🚀 Get Started Now ⭐ Before you get started, please star us on GitHub — your support drives us forward! Deploy on Your Own If you need to run Nexent locally or in your private infrastructure, we offer two deployment…
read the full nexent overview →
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Frequently asked questions
Is ragflow or nexent more popular?
ragflow has 93,496 GitHub stars and nexent has 6,133. 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 (93,496 stars) or its Apache-2.0 licence terms. Choose nexent if its feature set, stack or MIT licence fits better. Both are self-hostable.