head to head · open source

ragflow vs MonkeyCode

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. MonkeyCode has 4,734 stars, 719 forks, 341 open issues and last shipped today. ragflow leads on adoption by 1,823% (91,015 vs 4,734 stars). ragflow is written in Go under Apache-2.0; MonkeyCode is written in TypeScript under AGPL-3.0. ragflow has attracted 12% as many forks as stars, MonkeyCode 15%. 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), 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 MonkeyCode ★ 4.7K category AI & Machine Learning

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Side by side

ragflow MonkeyCode
GitHub stars ★ 91K ★ 4.7K
License Apache-2.0 AGPL-3.0
Written in Go TypeScript
Last push 2026-09-20 2026-09-20
Forks ⑂ 11K ⑂ 719
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 MonkeyCode if

  • You want the MonkeyCode feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and MonkeyCode fits your workflow better

full MonkeyCode 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 MonkeyCode

MonkeyCode is an open source, AGPL 3.0 licensed enterprise AI development platform that lets a team run AI coding tasks through cloud development environments, either self hosted inside a corporate network or through a hosted online service.

read the full MonkeyCode overview →

More in AI & Machine Learning

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

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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 MonkeyCode more popular?

ragflow has 91,015 GitHub stars and MonkeyCode has 4,734. ragflow has the larger community by that measure.

Are ragflow and MonkeyCode free?

Both are open source. ragflow is licensed under Apache-2.0 and MonkeyCode under AGPL-3.0. Neither carries a licence fee.

What is the difference between ragflow and MonkeyCode?

ragflow is written in Go and MonkeyCode in TypeScript. 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 MonkeyCode?

Choose ragflow if you want the larger community (91,015 stars) or its Apache-2.0 licence terms. Choose MonkeyCode if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.