Is deer-flow or ragflow better?

Neither is universally better. deer-flow is the stronger fit for Orchestrating sub-agents, memory, and sandboxes through one extensible skill system; ragflow for Production RAG over complex documents with agent capabilities, self-hosted. Use the side-by-side specs to decide by your own constraints.

Is deer-flow or ragflow free?

deer-flow is free to run and self-host; ragflow is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.

Which is more popular, deer-flow or ragflow?

By GitHub stars — a proxy for open-source adoption — ragflow is ahead (89k vs 80k). Stars measure attention, not necessarily the better fit for you.

Autonomous Agents · Head-to-head

deer-flow vs ragflow

deer-flow and ragflow are both autonomous agents. deer-flow is An open-source long-horizon SuperAgent harness that researches, codes, and creates, while ragflow is 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. Here's an independent, side-by-side look at how they compare — and which fits.

deer-flow

Agent· Open source

An open-source long-horizon SuperAgent harness that researches, codes, and creates.

Visit deer-flow →

ragflow

Platform· Open source

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

Visit ragflow →

Bottom line

deer-flow and ragflow are both open-source autonomous agents you can self-host for free. deer-flow is written primarily in Python; ragflow in Go. Neither is universally better — pick by fit.

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Side by side

Spec	deer-flow	ragflow
Type	Agent	Platform
Model	Open source	Open source
Pricing	Open source	Open source
GitHub stars	80,123	88,637
Language	Python	Go
License	MIT	Apache-2.0
Last activity	Aug 2026	Aug 2026

Key differences

deer-flow is written primarily in Python; ragflow in Go.
Licensing differs: deer-flow is MIT, ragflow is Apache-2.0.

Choose deer-flow if

Orchestrating sub-agents, memory, and sandboxes through one extensible skill system.

Choose ragflow if

Production RAG over complex documents with agent capabilities, self-hosted.

About deer-flow

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Full deer-flow profile →

About 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

Full ragflow profile →

Frequently asked

What's the main difference between deer-flow and ragflow?: deer-flow is written primarily in Python; ragflow in Go.
Is deer-flow or ragflow better?: Neither is universally better. deer-flow is the stronger fit for Orchestrating sub-agents, memory, and sandboxes through one extensible skill system; ragflow for Production RAG over complex documents with agent capabilities, self-hosted. Use the side-by-side specs to decide by your own constraints.
Is deer-flow or ragflow free?: deer-flow is free to run and self-host; ragflow is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.
Which is more popular, deer-flow or ragflow?: By GitHub stars — a proxy for open-source adoption — ragflow is ahead (89k vs 80k). Stars measure attention, not necessarily the better fit for you.

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