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Paper page - Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
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https://github.com/Tencent/CognitiveKernel-Pro

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arXiv explained breakdown of this paper 👉 https://arxivexplained.com/papers/cognitive-kernel-pro-a-framework-for-deep-research-agents-and-agent-foundation-models-training

\n","updatedAt":"2025-08-13T06:04:45.065Z","author":{"_id":"65d9fc2a0e6ad24551d87a1e","avatarUrl":"/avatars/3aedb9522cc3cd08349d654f523fd792.svg","fullname":"Grant Singleton","name":"grantsing","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":4,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.6863317489624023},"editors":["grantsing"],"editorAvatarUrls":["/avatars/3aedb9522cc3cd08349d654f523fd792.svg"],"reactions":[],"isReport":false}},{"id":"68a094584a09a88da53307ca","author":{"_id":"65d02414af9670557423df10","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d02414af9670557423df10/5SNGUGEEdkliGKNceo_gS.jpeg","fullname":"Pranav Pawar","name":"prnvpwr2612","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":9,"isUserFollowing":false},"createdAt":"2025-08-16T14:23:20.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Glad to see high performance deep research open source frameworks!\nThank you, would surely learn a lot from this!","html":"

Glad to see high performance deep research open source frameworks!
Thank you, would surely learn a lot from this!

\n","updatedAt":"2025-08-16T14:23:20.684Z","author":{"_id":"65d02414af9670557423df10","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65d02414af9670557423df10/5SNGUGEEdkliGKNceo_gS.jpeg","fullname":"Pranav Pawar","name":"prnvpwr2612","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":9,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9321502447128296},"editors":["prnvpwr2612"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/65d02414af9670557423df10/5SNGUGEEdkliGKNceo_gS.jpeg"],"reactions":[{"reaction":"❤️","users":["xywang1"],"count":1}],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2508.00414","authors":[{"_id":"6890eddff01a094725f833f8","user":{"_id":"641129818573c51c0458b793","avatarUrl":"/avatars/d4bc67c160a07146cf41c614678aa36b.svg","isPro":false,"fullname":"Tianqing Fang","user":"tqfang229","type":"user"},"name":"Tianqing Fang","status":"claimed_verified","statusLastChangedAt":"2025-08-06T19:23:18.239Z","hidden":false},{"_id":"6890eddff01a094725f833f9","name":"Zhisong Zhang","hidden":false},{"_id":"6890eddff01a094725f833fa","user":{"_id":"657cd228138b7e391444a65d","avatarUrl":"/avatars/c7c984ae483144fab627aa2c54d91d0f.svg","isPro":false,"fullname":"Xiaoyang Wang","user":"xywang1","type":"user"},"name":"Xiaoyang Wang","status":"claimed_verified","statusLastChangedAt":"2025-08-06T19:23:25.761Z","hidden":false},{"_id":"6890eddff01a094725f833fb","name":"Rui Wang","hidden":false},{"_id":"6890eddff01a094725f833fc","name":"Can Qin","hidden":false},{"_id":"6890eddff01a094725f833fd","user":{"_id":"64c0f43732dd2d752e780322","avatarUrl":"/avatars/b2be921b3d5744b2615f03bc4de47b40.svg","isPro":false,"fullname":"Yuxuan Wan","user":"iforgott","type":"user"},"name":"Yuxuan Wan","status":"claimed_verified","statusLastChangedAt":"2026-01-08T08:34:25.617Z","hidden":false},{"_id":"6890eddff01a094725f833fe","name":"Jun-Yu Ma","hidden":false},{"_id":"6890eddff01a094725f833ff","name":"Ce Zhang","hidden":false},{"_id":"6890eddff01a094725f83400","name":"Jiaqi Chen","hidden":false},{"_id":"6890eddff01a094725f83401","user":{"_id":"66a3b73ac44ffdaf67aa0a74","avatarUrl":"/avatars/ed73f39ea541ddcc35b7405af42485e5.svg","isPro":false,"fullname":"Xiyun Li","user":"xiyun98","type":"user"},"name":"Xiyun Li","status":"claimed_verified","statusLastChangedAt":"2025-08-06T19:23:21.773Z","hidden":false},{"_id":"6890eddff01a094725f83402","name":"Hongming Zhang","hidden":false},{"_id":"6890eddff01a094725f83403","name":"Haitao Mi","hidden":false},{"_id":"6890eddff01a094725f83404","name":"Dong Yu","hidden":false}],"publishedAt":"2025-08-01T08:11:31.000Z","submittedOnDailyAt":"2025-08-04T16:01:44.753Z","title":"Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent\n Foundation Models Training","submittedOnDailyBy":{"_id":"657cd228138b7e391444a65d","avatarUrl":"/avatars/c7c984ae483144fab627aa2c54d91d0f.svg","isPro":false,"fullname":"Xiaoyang Wang","user":"xywang1","type":"user"},"summary":"General AI Agents are increasingly recognized as foundational frameworks for\nthe next generation of artificial intelligence, enabling complex reasoning, web\ninteraction, coding, and autonomous research capabilities. 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Papers
arxiv:2508.00414

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

Published on Aug 1, 2025
· Submitted by
Xiaoyang Wang
on Aug 4, 2025
#1 Paper of the day
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Abstract

Cognitive Kernel-Pro is an open-source multi-module agent framework that enhances AI agent robustness and performance through data curation and novel test-time strategies, achieving state-of-the-art results.

AI-generated summary

General AI Agents are increasingly recognized as foundational frameworks for the next generation of artificial intelligence, enabling complex reasoning, web interaction, coding, and autonomous research capabilities. However, current agent systems are either closed-source or heavily reliant on a variety of paid APIs and proprietary tools, limiting accessibility and reproducibility for the research community. In this work, we present Cognitive Kernel-Pro, a fully open-source and (to the maximum extent) free multi-module agent framework designed to democratize the development and evaluation of advanced AI agents. Within Cognitive Kernel-Pro, we systematically investigate the curation of high-quality training data for Agent Foundation Models, focusing on the construction of queries, trajectories, and verifiable answers across four key domains: web, file, code, and general reasoning. Furthermore, we explore novel strategies for agent test-time reflection and voting to enhance agent robustness and performance. We evaluate Cognitive Kernel-Pro on GAIA, achieving state-of-the-art results among open-source and free agents. Notably, our 8B-parameter open-source model surpasses previous leading systems such as WebDancer and WebSailor, establishing a new performance standard for accessible, high-capability AI agents. Code is available at https://github.com/Tencent/CognitiveKernel-Pro

Community

Paper author Paper submitter

Cognitive Kernel-Pro achieves SoTA results among open-source and free agents.

Our official GitHub repo: https://github.com/Tencent/CognitiveKernel-Pro

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