Sub-agents
Multiple AI agents handling different tasks in parallel when needed.
Deer Flow AI: What It Is and How It Works
Deer flow is an AI agent framework that coordinates multiple agents to complete complex tasks through a clear workflow, from planning to execution.
What is Deer Flow?
DeerFlow is an open-source AI agent orchestration system that manages multiple agents working together.
It combines sub-agents, memory, sandbox environments, and skills to execute complex workflows.
Task → Agents → Execution → Result
Core Components
Memory
Stores context across steps so long workflow execution stays coherent.
Sandbox
Safe execution environment for file operations, commands, and experiments.
Skills
Extendable capabilities like search, coding, writing, and analysis.
How Deer Flow Works
Step 1
Define Task
Step 2
Assign Agents
Step 3
Execute Workflow
Step 4
Generate Result
Use Cases
Research Automation
Automatically gather and summarize data from multiple sources.
Workflow Automation
Execute multi-step processes with a consistent AI agent workflow.
Complex Tasks
Break large tasks into smaller chunks and merge outputs reliably.
Deer Flow vs OpenClaw
| Feature | Deer Flow | OpenClaw |
|---|---|---|
| Control | High | Lower |
| Flexibility | Medium | High |
| Stability | High | Medium |
Frequently Asked Questions
What is Deer Flow?
Deer Flow is an open-source AI agent framework for automation and orchestration.
Is Deer Flow free?
Yes. DeerFlow is open-source under an MIT license.
Who should use Deer Flow?
Developers and advanced users who need structured workflow automation.