Run long-horizon research and coding agent workflows with DeerFlow
Use DeerFlow to orchestrate subagents, memory, sandboxes, tools, and skills for supervised research, coding, and creation tasks that take minutes to hours.
What it does
Run long-horizon research and coding agent workflows with DeerFlow
Use DeerFlow to orchestrate subagents, memory, sandboxes, tools, and skills for supervised research, coding, and creation tasks that take minutes to hours.
Prerequisites
DeerFlow application, supported LLM provider credentials, configured tools, memory, sandboxes, and optional skills/subagents
Installation
Requirements and caveats from upstream:
Basic usage or getting-started notes:
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We strongly recommend using Doubao-Seed-2.0-Code, DeepSeek v3.2 and Kimi 2.5 to run DeerFlow
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Extracted from upstream docs: https://raw.githubusercontent.com/bytedance/deer-flow/HEAD/README.md
Documentation
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,126 chars)