A comprehensive automation skill for deploying the DeerFlow 2.0 Super Agent within the OpenClaw ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deerflow-install-master
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deerflow-install-master using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is DeerFlow 2.0 Installation Skill?
This skill provides a robust, production-ready framework for deploying DeerFlow 2.0, a sophisticated AI agent architecture developed for high-performance reasoning and tool use. By leveraging Openclaw Skills, developers can automate the entire lifecycle from environment verification to service monitoring, ensuring a stable deployment. It addresses complex requirements such as dependency management for LangGraph, API orchestration, and sandbox isolation, making it the definitive choice for those implementing Openclaw Skills in a professional capacity.
DeerFlow 2.0 Installation Skill Use Cases
- Automated deployment of DeerFlow 2.0 Super Agents in distributed environments.
- Rapid troubleshooting and patching of environment-specific installation issues.
- Optimizing AI agent performance and recursion limits for complex workflows.
- Standardizing configuration across multiple Openclaw Skills instances.
How DeerFlow 2.0 Installation Skill Works
- Conducts a thorough environment audit, validating Docker status, Python 3.12+ compatibility, and port availability for LangGraph (2024) and Gateway Lite (8091).
- Automates the repository lifecycle, including cloning the source and managing dependencies via Docker-native or localized Python virtual environments.
- Applies critical compatibility patches for legacy Python 3.11 environments, including PEP 695 syntax and typing-extension overrides.
- Configures model providers and search tools, integrating OpenRouter for LLM access and Tavily for real-time data retrieval.
- Orchestrates the startup of asynchronous services with specialized flags like --allow-blocking to ensure reliability within Openclaw Skills.
- Verifies service health through automated API probes and functional test cases.
DeerFlow 2.0 Installation Skill Setup
To initiate the deployment via Openclaw Skills, follow these essential steps:
# Navigate to the workspace and clone the core repository
cd /vol1/@apphome/trim.openclaw/data/workspace
git clone https://github.com/bytedance/deer-flow.git
cd deer-flow
# Recommended: Deployment via Docker
make docker-init
make docker-start
# Alternative: Manual service launch
cd backend
export DEER_FLOW_CONFIG_PATH=../config.yaml
nohup .venv/bin/langgraph dev --port 2024 --no-browser --no-reload --allow-blocking > /tmp/langgraph.log 2>&1 &
DeerFlow 2.0 Installation Skill Data Schema & Taxonomy
The skill manages its operational data through a structured configuration and logging hierarchy to maintain transparency within Openclaw Skills.
| Component | File Path | Purpose |
|---|---|---|
| Core Logic | backend/packages/harness/deerflow |
Primary agent reasoning and tool orchestration |
| Environment | .env |
Credential management for OpenRouter and Tavily keys |
| Config | config.yaml |
Model definitions, tool registry, and API base URLs |
| Execution Logs | /tmp/langgraph.log |
Real-time debugging and trace information |
| Gateway Lite | gateway_lite.py |
API abstraction layer for external skill integration |
DeerFlow 2.0 Installation Skill Advanced Features
- Intelligent typing-extension patching for backward compatibility with Python 3.11.
- Dynamic recursion limit adjustments (up to 200+) for complex multi-step reasoning tasks.
- Specialized LangGraph development mode flags to prevent blocking during file system operations.
- Integrated sandbox toolset for secure file reading, writing, and bash execution within Openclaw Skills.
- One-click health check diagnostics for model endpoints and search API quotas.
SKILL.md
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