HKUDS/Auto-Deep-Research
An open-source autonomous agent framework for conducting automated deep research tasks using LLMs, designed as a cost-effective alternative to OpenAI's Deep Research.
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Auto-Deep-Research is an autonomous agent system built on the AutoAgent framework that automates deep research tasks. It leverages LLMs to conduct comprehensive research autonomously, aiming to replicate capabilities similar to OpenAI’s Deep Research. The project participates in the GAIA benchmark evaluation and is developed by HKUDS, an academic research group.
Frequently asked
- What is HKUDS/Auto-Deep-Research?
- An open-source autonomous agent framework for conducting automated deep research tasks using LLMs, designed as a cost-effective alternative to OpenAI's Deep Research.
- Is Auto-Deep-Research open source?
- Yes — HKUDS/Auto-Deep-Research is an open-source project tracked on heatdrop.
- What language is Auto-Deep-Research written in?
- HKUDS/Auto-Deep-Research is primarily written in Python.
- How popular is Auto-Deep-Research?
- HKUDS/Auto-Deep-Research has 1.6k stars on GitHub.
- Where can I find Auto-Deep-Research?
- HKUDS/Auto-Deep-Research is on GitHub at https://github.com/HKUDS/Auto-Deep-Research.