This app creates a research article from a topic and user-provided information.
Multi-Agent AI - Deep Research
This app uses a topic and an OpenAI API key to generate a detailed research article.
About Multi-Agent AI - Deep Research
Multi-Agent AI - Deep Research is a Hugging Face Space that turns a topic into a drafted research article. You supply a topic and your own OpenAI API key, and the app returns a written piece based on that input.
Key features
- Requires an OpenAI API key and a topic to run
- Manager agent runs on gpt-4.1-mini in a sequential process
- Researcher, Author and Editor agents each run on gpt-4.1
- Three tasks: research, author and edit
- Search and scrape tools gather source material
- Built on the crewAI framework with AgentOps evaluation
Best for: People who already have an OpenAI API key and want a first draft of a research article written from a topic.
Good for
- Separates research, writing and editing across three distinct agents
- Runs in the browser as a Hugging Face Space
- Uses search and scrape tools to gather material before writing
Watch out for
- Requires you to supply your own OpenAI API key
- Pricing is not stated on the page
- Relies on external services (OpenAI, search and scrape tools, AgentOps), so your topic and inputs may be sent to third parties
Multi-Agent AI - Deep Research at a glance
- Category
- AI & Machine Learning › AI Writing Tools
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Multi-Agent AI - Deep Research FAQ
What do I need to use this app?
A topic and your own OpenAI API key. The app generates a detailed article from those inputs.
Which models does the crew use?
The manager agent runs on gpt-4.1-mini, while the Researcher, Author and Editor agents each run on gpt-4.1.
How is the crew structured?
It uses a sequential process with a manager, three agents, three tasks (research, author, edit) and two tools (search and scrape), with evaluation via AgentOps.
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