bytedance/deer-flow
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.
48/100
Stars68,867
Forks9,181
LanguagePython
LicenseMIT
Overview
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.
Best for
- Evaluating deer-flow for Python AI workflows.
- Comparing a GitHub project with 68,867 stars and current repository activity.
Pros
- deer-flow has visible GitHub traction with 68,867 stars. Topics: agent, agentic, agentic-framework.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the MIT terms fit your use case.
Production readiness
deer-flow should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
MIT is reported by GitHub; review the repository license before redistribution or commercial use.
Install
git clone https://github.com/bytedance/deer-flow.gitmake setupmake docker-initmake docker-startmake up