🦌 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 ( D eep E xploration and E fficient R esearch 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.x branch — contributions there are still welcome. Active development has moved to 2.0. Official Website Learn more and see real demos on our official website . The landing page case studies open as allowlisted, read only showcases without requiring a sign in. Sister Projects LLM Space Meet our secret weapon behind DeerFlow — one desktop tool to prototype agent ideas, inspect each harness step, replay failures, and benchmark performance. 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 Monocle Tracing Using Multiple 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 E