head to head · open source

ragflow vs Multica

ragflow has 93,365 GitHub stars, 11,207 forks, 1,525 open issues and last shipped yesterday. Multica has 54,637 stars, 7,186 forks, 1,538 open issues and last shipped yesterday. ragflow leads on adoption by 71% (93,365 vs 54,637 stars). ragflow is written in Go under Apache-2.0; Multica is written in Go under a custom or non-standard licence. ragflow has attracted 12% as many forks as stars, Multica 13%. Multica 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 ★ 93K Multica ★ 55K category AI & Machine Learning

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Side by side

ragflow Multica
GitHub stars ★ 93K ★ 55K
License Apache-2.0 Custom / other
Written in Go Go
Last push 2026-11-02 2026-11-02
Forks ⑂ 11K ⑂ 7.2K
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 Multica if

  • You want the Multica feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Go
  • You evaluated both and Multica fits your workflow better

full Multica 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 Multica

Multica Agents that show up on the board. Multica is an open source workspace where you assign work to AI coding agents the way you'd assign it to a teammate — they pick up the issue, report progress, raise blockers, and hand it back for review. Self hostable, works with 26 agent CLIs, no lock in. Website · Docs · Quickstart · Download · Vision · Self Hosting · Discord · X English 简体中文 Your next 10 hires won't be human. What is Multica? You already run Claude Code, Codex, and three other agents. Each one lives in its own terminal tab, forgets everything when the session ends, and leaves you re explaining the…

read the full Multica overview →

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Frequently asked questions

Is ragflow or Multica more popular?

ragflow has 93,365 GitHub stars and Multica has 54,637. ragflow has the larger community by that measure.

Are ragflow and Multica free?

Both are open source. ragflow is licensed under Apache-2.0, and Multica has no licence declared in this registry. Both are free to self-host.

What is the difference between ragflow and Multica?

ragflow is written in Go and Multica in Go. 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 Multica?

Choose ragflow if you want the larger community (93,365 stars) or its Apache-2.0 licence terms. Choose Multica if its feature set, stack or Custom / other licence fits better. Both are self-hostable.