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GitHub · bytedance/deer-flow↑ +442 today

AI agent for complex tasks

Developed by ByteDance, Deer-Flow is an open-source superagent framework designed to perform long-running tasks. System; It can autonomously research and code complex workflows using a sandbox, memory management and sub-agents.

Updates

  • November 5, 2026: Stars 83,006 → 85,008, latest release v2.2.0 (November 4, 2026).
  • September 27, 2026: Stars 78,818 → 83,006, latest release v2.1.0 (September 24, 2026).
  • August 2, 2026: Stars 72,905 → 78,818, latest release v2.0.0 (June 25, 2026).

What you get

  • Autonomous research and coding ability
  • Working in a safe sandbox environment
  • Long-term memory and subagent management

Installation

Cloning the repository
git clone https://github.com/bytedance/deer-flow.git
   cd deer-flow
Starting the setup wizard
make setup

Running it

Launching with Docker
make docker-init    # Pull sandbox image (only once or when image updates)
make docker-start   # Start services (auto-detects sandbox mode from config.yaml)

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

Clone the DeerFlow repository to my computer and then run the make setup command to complete the necessary configuration for the local development environment. Help me configure options such as LLM provider, web search preferences, and security settings during the setup wizard.

Repository: https://github.com/bytedance/deer-flow. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forIt is suitable for developers and developers who want to manage and code complex workflows autonomously.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-22: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.