head to head · open source

ragflow vs EverOS

ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. EverOS has 13,798 stars, 962 forks, 73 open issues and last shipped yesterday. ragflow leads on adoption by 577% (93,460 vs 13,798 stars). ragflow is written in Go under Apache-2.0; EverOS is written in Python under Apache-2.0. ragflow has attracted 12% as many forks as stars, EverOS 7%. EverOS was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agentic-ai, ai), 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 EverOS ★ 14K category AI & Machine Learning

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Side by side

ragflow EverOS
GitHub stars ★ 93K ★ 14K
License Apache-2.0 Apache-2.0
Written in Go Python
Last push 2026-11-04 2026-11-04
Forks ⑂ 11K ⑂ 962
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 EverOS if

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

full EverOS 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 EverOS

Website · Documentation · Blog · 中文 Table of Contents Why EverOS Ecosystem Integrations Quick Start Use Cases Documentation EverMind Ecosystem Contributing Why EverOS EverOS is a Python library and local first memory runtime for agents and makers. It gives one portable memory layer across coding assistants, apps, devices, and workflows from day one. It stores conversations, files, and agent trajectories as readable Markdown, then syncs local SQLite and LanceDB indexes for fast retrieval and self evolving reuse. Title EverOS Other Agent Memory Libraries Markdown source of truth ✅ Canonical .md files that are…

read the full EverOS overview →

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Frequently asked questions

Is ragflow or EverOS more popular?

ragflow has 93,460 GitHub stars and EverOS has 13,798. ragflow has the larger community by that measure.

Are ragflow and EverOS free?

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

What is the difference between ragflow and EverOS?

ragflow is written in Go and EverOS 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 EverOS?

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