by bytedance · Agent Tool · ★ 67.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🦌 DeerFlow - 2.0 English 日本語 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! 💪🔥 DeerFlow (Deep Exploration and Efficient Research Flow) is an open-source super agent harness that orchestrates sub-agents, memory, and sandboxes to do almost anything — powered by extensible skills. https://github.com/user-attachments/assets/a8bcadc4-e040-4cf2-8fda-dd768b999c18 [!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 branch — contributions there are still welcome. Active development has moved to 2.0. Official Website [<img width="2880" height="1600" alt="im
| Stars | 67,177 |
| Forks | 8,924 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.984/100 |
| Open Issues | 763 |
| Last Updated | 2026-05-12 |
| Created | 2025-05-07 |
| Platforms | cli, python |
| Est. Tokens | ~2286k |
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deer-flow is 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 ta. It is categorized as a Agent Tool with 67.2k GitHub stars.
deer-flow is primarily written in Python. It covers topics such as agent, agentic, agentic-framework.
You can find installation instructions and usage details in the deer-flow GitHub repository at github.com/bytedance/deer-flow. The project has 67.2k stars and 8924 forks, indicating an active community.
deer-flow is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to deer-flow on Agent Skills Hub include langchain, ragflow, dify. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.