bytedance/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.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
2 releases in the last 90 days, the latest 3 days ago, with 458 contributors on GitHub.
Peaked at #2 in the weekly ranking the week of Mar 22, its best in the past year.
Use Cases & Benefits
- Implements a modular multi-agent framework to automate deep research workflows combining language models, web search, code execution, and report generation.
- Enables efficient long-horizon task handling with human-in-the-loop feedback, multi-tier LLMs, and seamless integration of diverse tools and private knowledgebases.
- Use for automating comprehensive research report generation from complex queries involving web data, code analysis, and multi-step planning.
- Use for building AI-powered content creation pipelines including podcast script generation, audio synthesis, and presentation slide automation.
- Use for deploying customizable research assistants with interactive web UI and API support for iterative plan refinement and private document retrieval.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Originated from Open Source, give back to Open Source.
DeerFlow (Deep Exploration and Efficient Research Flow) is a community-driven Deep Research framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible.
Currently, DeerFlow has officially entered the FaaS Application Center of Volcengine. Users can experience it online through the experience link to intuitively feel its powerful functions and convenient operations. At the same time, to meet the deployment needs of different users, DeerFlow supports one-click deployment based on Volcengine. Click the deployment link to quickly complete the deployment process and start an efficient research journey.
Please visit our official website for more details.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+5,041 stars over 84 days across 10 snapshot days; best day +178 on Sep 8.
Forks
12.0K+998
Open issues
1.1K+109
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 450.0K | +22.9K | 75 | 16 days ago |
| vercel-labs/agent-desktop | 21.4K | +8.7K | 75 | 5 days ago |
| milind-soni/OpenMausBot | 20.6K | +8.4K | 75 | today |
| stablyai/orca | 121.4K | +6.7K | 75 | today |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| bytedance/deer-flow | 85.1K | — | 65 | 3 days ago |
| Category median | 115.8K | +8.4K | 75 | — |
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