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Hugging Face introduces Open Deep Research, a free to use AI agent built on OpenAI models

Hugging Face's Open Deep Research isn't as accurate as OpenAI's solution, but it does come close.

Hugging Face's Open Deep Research is based on large language models by OpenAI. (Image Source: Pixabay)

A few days after OpenAI unveiled its Deep Research feature, researchers at Hugging Face have developed their very own open-sourced AI research agent called “Open Deep Research”.

Like OpenAI’s Deep Research feature, Hugging Face’s Open Deep Research can browse the internet on its web and generate research reports from the available information. On its announcement page, Hugging Face said that since OpenAI didn’t disclose the underlying agentic framework it used for Deep Research, they decided to “embark on a 24-hour mission to reproduce their results and open-source the needed framework along the way.”

Similar to Gemini and OpenAI’s implementation, “Open Deep Research” adds an “agent” framework to an already existing AI model, allowing it to perform multi-step tasks like collecting information and generating a presentable report to the user.

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While Hugging Face’s AI agent isn’t as accurate compared to OpenAI’s Deep Research, the new feature has already reached 55.15 per cent accuracy on the General AI Assistants benchmark, which is often used to test an AI model’s ability to collect and understand information from multiple sources. In case you are wondering, OpenAI’s solution is 67.36 per cent accurate.

Hugging Face told Arstechnica that, for now, Open Deep Research uses OpenAI’s large language models like GPT-40, o1 and o3-mini through an API, but it can also be modified to use open-weights AI model. The company’s open-sourced research agent may not be as accurate as OpenAI’s solution, but the launch might help developers freely understand and improve the technology.

The platform is also reportedly working on imitating OpenAI’s Operator, which can do things like controlling mouse and keyboard in a browser.