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