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DeerFlow

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Type related Category Harness
Stars ⭐ 80,462 Status ✅ active
Author bytedance Updated 2026-08-20

One-liner

Open-source long-horizon SuperAgent harness by ByteDance: skills, memory, sandboxes, subagents, tools and a message gateway.

About

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

✨ Key Features

  • LLM Space - Meet our secret weapon behind DeerFlow — one desktop tool to prototype agent ideas, inspect each harne

📦 Install

git clone https://github.com/bytedance/deer-flow.git
   cd deer-flow

🚀 Quick Start

make setup

📚 Learn more

Configuration

  1. Clone the DeerFlow repository bash git clone https://github.com/bytedance/deer-flow.git cd deer-flow 2. Run the setup wizard From the project root directory (deer-flow/), run: bash make setup This launches an interactive wizard that guides you through choosing an LLM provider, optional web search, and execution/safety preferences such as sandbox mode, bash access, and fi

Configuration & management — returns Gateway-aligned dicts

models = client.list_models() # {"models": [...]} skills = client.list_skills() # {"skills": [...]} client.update_skill("web-search", enabled=True) client.upload_files("thread-1", ["./report.pdf"]) # {"success": True, "files": [...]} client.set_goal("thread-1", "finish the implementation and make all tests pass") client.get_goal("thread-1") # {"goal": {...}} or {"goal": None} client.clear_goal("th