Deer-Flow

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DeerFlow is an open-source SuperAgent harness that orchestrates sub-agents, memory, and sandboxes to research, code, and create. It handles diverse tasks from minutes to hours, powered by extensible skills.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is deer-flow?

DeerFlow is an open-source SuperAgent harness designed to orchestrate sub-agents, memory, and sandboxes for complex tasks like research, coding, and creation. It leverages extensible skills to handle a wide range of tasks, from those taking minutes to those requiring hours. The platform supports various LLM providers, including OpenAI, OpenRouter, and vLLM, and offers flexible deployment options via Docker or local development. Key features include a robust sandbox and file system, long-term memory, and context engineering, making it suitable for developers and researchers building advanced AI applications. DeerFlow 2.0 is a ground-up rewrite, focusing on enhanced capabilities and a streamlined architecture.

Best used for

Ideal for developers and data scientists who need to build sophisticated AI agents, automate multi-step research, and integrate various LLM providers. Especially valuable for creating long-horizon SuperAgents capable of handling complex, time-consuming tasks within a sandboxed environment.

Common actions

orchestrate AI agents

automate complex tasks

integrate LLMs

develop AI applications

manage AI workflows

github copilot"AI Agents"face swappingdeepfakeworkflowscollaborationopen-sourcelow-code/no-codeautomated workflow

Capabilities

Key features

Sub-agent orchestration
Memory management
Sandbox & file system
Extensible skills
LLM provider integration
Context engineering
Long-term memory

Target Audience

developerdata scientiststartup founder

Integrations

langchainopenaianthropicvllm

Pricing & Plans

Open Source

Free

FAQs

What is the primary purpose of DeerFlow?

DeerFlow is an open-source SuperAgent harness designed to orchestrate sub-agents, memory, and sandboxes. Its primary purpose is to enable the research, coding, and creation of complex AI applications, handling tasks that can range from minutes to hours in duration.

What LLM providers does DeerFlow support?

DeerFlow supports a variety of LLM providers, including OpenAI models like GPT-4o, OpenRouter gateways, and vLLM for local deployments. It also integrates with specific CLI-backed providers such as Codex CLI and Claude Code OAuth.

What are the recommended deployment options for DeerFlow?

DeerFlow offers two main deployment options: Docker for both development and production environments, which is recommended for its ease of setup and consistency, and local development for users who prefer to run services directly on their machine.

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