deer-flow
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
DeerFlow is a community-driven framework designed for deep research, integrating language models with specialized tools for tasks like web search, crawling, and Python code execution. It offers a modular multi-agent system architecture for automated research, supporting various search engines, crawling tools, and private knowledge bases.
Features
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Comments
- PParker BrownMay 26, 2026
Cut our research phase from 3 days to a few hours on a recent product analysis. Web crawling + Python execution combo is powerful.
- Harley LeeApr 28, 2026
give it a topic and it comes back with a surprisingly thorough report. takes a few minutes but worth the wait
- RRobin RiveraMar 15, 2026
Used this for due diligence research. Saved 4-5 hours compared to manual search and synthesis.
- AAvery ClarkMar 11, 2026
wow it actually browses the web and writes a real report. kinda blew my mind the first time i ran it
- RReese WhiteMar 5, 2026
DeerFlow's multi-agent approach to research is solid. Using it for competitive intelligence — combines web search, crawling, and synthesis better than single-agent setups.
- EElliot KimFeb 28, 2026
Pairs nicely with LangChain for custom tool integration. Handles long research tasks that single-LLM calls time out on.
- TTaylor PatelFeb 7, 2026
had some trouble with initial setup on Windows but got it working. output quality is impressive once it's running
- RRemy DavisDec 14, 2025
Runs well with OpenAI or local models via Ollama. The Python execution sandbox needs careful configuration in production — read the security docs first.
- RRobin JacksonDec 10, 2025
The community-driven approach is refreshing. Contributing back to the open-source ecosystem is baked into the project culture.