deer-flow
bytedance/deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, suba
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.
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Install
pip install deer-flowREADME
🦌 DeerFlow - 2.0
English | 中文 | 日本語 | Français | Русский
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
1.xbranch — contributions there are still welcome. Active development has moved to 2.0.
Official Website
Learn more and see real demos on our official website.
Coding Plan from ByteDance Volcengine
- We strongly recommend using Doubao-Seed-2.0-Code, DeepSeek v3.2 and Kimi 2.5 to run DeerFlow
- Learn more
- 中国大陆地区的开发者请点击这里
InfoQuest
DeerFlow has newly integrated the intelligent search and crawling toolset independently developed by BytePlus--InfoQuest (supports free online experience)
Table of Contents
- 🦌 DeerFlow - 2.0
- Official Website
- Coding Plan from ByteDance Volcengine
- InfoQuest
- Table of Contents
- One-Line Agent Setup
- Quick Start
- Configuration
- Running the Application
- Deployment Sizing
- Option 1: Docker (Recommended)
- Option 2: Local Development
- Advanced
- Sandbox Mode
- MCP Server
- IM Channels
- LangSmith Tracing
- Langfuse Tracing
- Using Both Providers
- From Deep Research to Super Agent Harness
- Core Features
- Skills & Tools
- Claude Code Integration
- Session Goals
- Manual Context Compaction
- Sub-Agents
- Sandbox & File System
- Context Engineering
- Long-Term Memory
- Skills & Tools
- Recommended Models
- Embedded Python Client
- Scheduled Tasks
- Terminal Workbench (TUI)
- Documentation
- ⚠️ Security Notice
- [Improper Deployment May Introduce Security Risks](#improper-deployment-may