@DanKornas: Keeping up with agentic deep research means tracking products, implementations, papers, and benchmarks across scattered…

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Summary

Awesome-Deep-Research is a curated GitHub resource index that organizes products, implementations, papers, and benchmarks for agentic deep research, helping researchers and builders scan the field faster.

Keeping up with agentic deep research means tracking products, implementations, papers, and benchmarks across scattered sources. Awesome-Deep-Research is a curated GitHub resource index for researchers and builders exploring deep-research agents. It helps you scan the field faster by organizing links into products, open-source implementations, research papers, and evaluation benchmarks. Key features: • Product directory – points to deep-research offerings from major AI labs and other providers • Open-source implementation list – collects agent frameworks, research assistants, and search toolkits • Structured paper table – compares models, optimization methods, search engines, agent architectures, datasets, and evaluations • Benchmark section – links evaluation resources for browsing, deep research, agentic search, and related tasks • Position-paper context – connects the collection to a paper on the shift from web search toward agentic deep research It’s open-source (MIT license). Link in the reply
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Cached at: 07/27/26, 09:57 PM

Keeping up with agentic deep research means tracking products, implementations, papers, and benchmarks across scattered sources.

Awesome-Deep-Research is a curated GitHub resource index for researchers and builders exploring deep-research agents.

It helps you scan the field faster by organizing links into products, open-source implementations, research papers, and evaluation benchmarks.

Key features: • Product directory – points to deep-research offerings from major AI labs and other providers • Open-source implementation list – collects agent frameworks, research assistants, and search toolkits • Structured paper table – compares models, optimization methods, search engines, agent architectures, datasets, and evaluations • Benchmark section – links evaluation resources for browsing, deep research, agentic search, and related tasks • Position-paper context – connects the collection to a paper on the shift from web search toward agentic deep research

It’s open-source (MIT license).

Link in the reply

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