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claude-to-deerflow

Orchestrate DeerFlow research tasks via its HTTP API.

Updated Apr 7, 2026
Search Tags:#integration#streaming#threads#ai-agent#uploads#http-api#deerflow
One-click install
npx skills add https://github.com/easyspace-ai/minote --skill claude-to-deerflow-easyspace-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-to-deerflow
Source: https://github.com/easyspace-ai/minote/tree/main/skills/public/claude-to-deerflow
Command: npx skills add https://github.com/easyspace-ai/minote --skill claude-to-deerflow-easyspace-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Enable seamless integration with DeerFlow to manage research tasks, run agent threads, and access model information through a unified HTTP API.

Core Features & Use Cases

  • Orchestrate DeerFlow threads and runs to perform complex research tasks.
  • Upload files to threads and retrieve results as artifacts.
  • List models, skills, and agents via the gateway and monitor health/memory.

Quick Start

Health-check DeerFlow, create a thread, and stream a run to obtain the AI response.

Frequently Asked Questions about claude-to-deerflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate with DeerFlow to orchestrate research tasks via HTTP API?▼

To orchestrate research tasks via the DeerFlow HTTP API, you can create threads, initiate runs with streaming responses, and manage models to support end-to-end research workflows.

How do I stream AI agent responses when running DeerFlow threads?▼

You can stream AI agent responses by initiating runs through the LangGraph streaming endpoints, allowing you to obtain real-time AI outputs for your DeerFlow threads.

Can I upload files to DeerFlow threads and retrieve them as artifacts?▼

Yes, you can upload files to specific threads and retrieve the processed results as artifacts through the gateway endpoints provided by the DeerFlow HTTP API.

What's the best way to manage memory and monitor health for DeerFlow agents?▼

The best way to manage memory and monitor health for DeerFlow agents is by listing and managing models, skills, and memory via the platform's unified gateway endpoints.

Do I need configurable environment URLs to run DeerFlow streaming endpoints?▼

Yes, configurable environment URLs are required to properly access streaming endpoints and handle artifacts for supporting end-to-end research workflows in DeerFlow.

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