bytedance/deer-flow: README-based editorial guide
A guide grounded in the README, repository metadata, and license for installing and checking bytedance/deer-flow.
Project scope
bytedance/deer-flow describes itself in the README as "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.". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "🦌 DeerFlow - 2.0", the README says: > On February 28th, 2026, DeerFlow claimed the 🏆 #1 spot on GitHub Trending following the launch of version 2. Thanks a million to our incredible community , you made this happen! 💪🔥. That establishes the project's stated boundary, not a production test.
Suitable use cases
The README's "Coding Plan from ByteDance Volcengine" section gives a useful starting point for deciding whether the project fits: We strongly recommend using Doubao-Seed-2.0-Code, DeepSeek v3.2 and Kimi 2.5 to run DeerFlow. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: LLM Space - Meet our secret weapon behind DeerFlow , one desktop tool to prototype agent ideas, inspect each harness step, replay failures, and benchmark performance.. It can shape a first test, but it does not replace testing in the intended environment.
How it works
The operating model is spread across sections such as "🦌 DeerFlow - 2.0". The source evidence includes: > [!NOTE] > DeerFlow 2.0 is a ground-up rewrite. It shares no code with v1. If you're looking for the original Deep Research framework, it's maintained on the 1.x branch , contributions there are still welcome.. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.
Installation and first run
Start installation from the README's documented entry point. A command that can be checked in the source is: git clone https://github.com/bytedance/deer-flow.git cd deer-flow When the README contains no runnable command, this article does not invent one. Open its "Official Website" section and confirm system dependencies, default ports, and first-run initialization before using a public server.