head to head · open source

ragflow vs cli

ragflow has 90,911 GitHub stars, 10,764 forks, 1,525 open issues and last shipped yesterday. cli has 31,040 stars, 1,840 forks, 131 open issues and last shipped 2 days ago. ragflow leads on adoption by 193% (90,911 vs 31,040 stars). ragflow is written in Go under Apache-2.0; cli is written in Rust under Apache-2.0. ragflow has attracted 12% as many forks as stars, cli 6%. ragflow 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 ★ 91K cli ★ 31K category AI & Machine Learning

← all 13541 open source comparisons

Side by side

ragflow cli
GitHub stars ★ 91K ★ 31K
License Apache-2.0 Apache-2.0
Written in Go Rust
Last push 2026-09-18 2026-09-17
Forks ⑂ 11K ⑂ 1.8K
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 cli if

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

full cli 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 cli

gws is a command line tool for Google Workspace, written in Rust and released under the Apache 2.0 license. It provides a single interface for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and the wider set of Workspace APIs. Rather than shipping a fixed list of commands, it reads Google's own Discovery Service at runtime and builds its entire command surface dynamically, so new API endpoints and methods appear without a CLI release. The project lives in the Google Workspace ecosystem and is explicitly not an officially supported Google product.

read the full cli overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

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 cli more popular?

ragflow has 90,911 GitHub stars and cli has 31,040. ragflow has the larger community by that measure.

Are ragflow and cli free?

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

What is the difference between ragflow and cli?

ragflow is written in Go and cli in Rust. 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 cli?

Choose ragflow if you want the larger community (90,911 stars) or its Apache-2.0 licence terms. Choose cli if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.