About 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.
Deer-Flow is an open-source SuperAgent harness that revolutionizes AI-driven development by combining research, coding, and creative tasks into a unified agentic framework. Built with Python, Node.js, and TypeScript, it leverages sandboxes, memory systems, and subagents to handle complex workflows—from quick fixes to multi-hour projects. Its unique architecture, powered by LangChain and LangGraph, enables deep research and multi-agent collaboration, making it ideal for developers seeking scalable automation. As a free, GitHub-hosted tool, Deer-Flow offers unparalleled flexibility for building intelligent assistants, podcast generators, or coding agents, streamlining tasks that traditionally require extensive manual effort.
Common Use Cases
- Automate deep research and data analysis for academic or technical projects
- Generate and debug code across multiple languages using AI subagents
- Create podcast scripts or content with structured, multi-step workflows
- Build custom AI agents for task automation in development environments
- Integrate with existing tools via LangChain for enhanced agentic capabilities
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Key Features
- Python
- Open Source
- GitHub Hosted
How to Get Started
Usage Statistics
Active Users
57,009
API Calls
7,022,000
Additional Information
Category
Code Assistant
Pricing
Free
Last Updated
4/3/2026
