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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[ACL 2026 KnowFM] Awesome Agentic Deep Research Resources
| Date | Stars |
|---|---|
| 2026-07-31 | 829 |
| 2026-08-03 | 833 |
| 2026-08-06 | 833 |
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growth rate 0.00%/day
# 🤖 Awesome Agentic Deep Research Resources
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[](https://github.com/DavidZWZ/Awesome-Deep-Research)
<p align="center">
<img src="https://i.imgur.com/waxVImv.png" alt="Oryx Video-ChatGPT">
</p>
Welcome to Awesome-Deep-Research! 🚀 This repository serves as your comprehensive guide to the cutting-edge world of Agentic Deep Research. We've meticulously curated a collection of resources for you.
<p align="center">
<img src="./Assets/DeepResearch.png" alt="DeepResearch Framework" width="80%" />
</p>
Whether you're a researcher, developer, or enthusiast, this repository is your gateway to exploring the fascinating intersection of artificial intelligence and autonomous agents. For a detailed analysis of the changing paradigm in information search, check out our position paper: **[From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents](https://arxiv.org/abs/2506.18959)** 📄, which outlines existing domain trends and future directions. For researchers interested in the broader intersection of RAG and Reasoning, we also recommend exploring our comprehensive collection at **[Awesome-RAG-Reasoning](https://github.com/DavidZWZ/Awesome-RAG-Reasoning)** 🔥🔥🔥.
## Table of Contents
- [🎯 Industry-leading products and solutions](#industry-leading-products)
- [🔧 Open-source implementations and tools](#open-source-implementations)
- [📚 Latest research papers and breakthroughs](#latest-research-papers)
- [🏆 Evaluation benchmarks and practical applications](#benchmarks-and-applications)
- [🤝 Contributing and Citations](#contributing-and-citations)
## Industry-Leading Products
- <img src="https://www.google.com/s2/favicons?sz=24&domain_url=gemini.google.com" width="20" style="vertical-align: -10px;"/> [Gemini Deep Research](https://gemini.google/overview/deep-research/?hl=en): Google's advanced research assistant for deep analysis (December 11, 2024)
- <img src="https://www.google.com/s2/favicons?sz=24&domain_url=openai.com" width="20" style="vertical-align: -10px;"/> [Deep Research](https://openai.com/index/introducing-deep-research/): OpenAI's deep research platform [[API Guide]](https://cookbook.openai.com/examples/deep_research_api/introduction_to_deep_research_api) (February 2, 2025)
- <img src="https://www.google.com/s2/favicons?sz=24&domain_url=perplexity.ai" width="16" style="vertical-align: -15px;"/> [Perplexity Deep Research](https://www.perplexity.ai/hub/blog/introducing-perplexity-deep-research): Perplexity's product for in-depth research and analysis (February 14, 2025)
- <img src="https://www.google.com/s2/favicons?sz=24&domain_url=x.ai" width="20" style="vertical-align: -10px;"/> [Grok Agents](https://x.ai/news/grok-3): xAI's autonomous DeepSearch agents powered by Grok-3 (February 19, 2025)
- <img src="https://www.google.com/s2/favicons?sz=24&domain_url=microsoft.com" width="16" style="vertical-align: -10px;"/> [Copilot Researcher](https://www.microsoft.com/en-us/microsoft-365/blog/2025/03/25/introducing-researcher-and-analyst-in-microsoft-365-copilot/): Researcher and Analyst in Microsoft 365 Copilot (March 25, 2025)
- <img src="https://www.google.com/s2/favicons?sz=24&domain_url=anthropic.com" width="20" style="vertical-align: -10px;"/> [Research](https://www.anthropic.com/news/research): Anthropic's research platform to find and reason with information (April 15, 2025)
- <img src="https://www.google.com/s2/favicons?sz=24&domain_url=manus.im" width="20" style="vertical-align: -10px;"/> [Manus](https://manus.im/): Advanced research and analysis platform (March 6, 2Excerpt of 66,296 characters
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Youran
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e5e0db061cece813, topic:agentic-ai, desc:agentic
matched fp:e5e0db061cece813, topic:large-language-models
matched fp:e5e0db061cece813, topic:rag