https://arxivexplained.com/papers/agent-kb-leveraging-cross-domain-experience-for-agentic-problem-solving

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We introduce\nAgent KB, a hierarchical experience framework that enables complex agentic\nproblem solving via a novel Reason-Retrieve-Refine pipeline. Agent KB addresses\na core limitation: agents traditionally cannot learn from each other's\nexperiences. By capturing both high-level strategies and detailed execution\nlogs, Agent KB creates a shared knowledge base that enables cross-agent\nknowledge transfer. Evaluated on the GAIA benchmark, Agent KB improves success\nrates by up to 16.28 percentage points. On the most challenging tasks, Claude-3\nimproves from 38.46% to 57.69%, while GPT-4 improves from 53.49% to 73.26% on\nintermediate tasks. On SWE-bench code repair, Agent KB enables Claude-3 to\nimprove from 41.33% to 53.33%. Our results suggest that Agent KB provides a\nmodular, framework-agnostic infrastructure for enabling agents to learn from\npast experiences and generalize successful strategies to new tasks.","upvotes":74,"discussionId":"686dc18acb5725779c60b338","githubRepo":"https://github.com/OPPO-PersonalAI/Agent-KB","ai_summary":"Agent KB, a hierarchical experience framework, enhances problem-solving success rates across different agents by enabling cross-agent knowledge transfer through a Reason-Retrieve-Refine pipeline.","ai_keywords":["Agent KB","hierarchical experience framework","Reason-Retrieve-Refine pipeline","cross-agent knowledge transfer","GAIA benchmark","SWE-bench code repair"],"githubStars":367},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"63357c608adfa81faf2ac180","avatarUrl":"/avatars/ae0314c644f882251baf59b9134fd36f.svg","isPro":false,"fullname":"Xiangru Tang","user":"RTT1","type":"user"},{"_id":"620783f24e28382272337ba4","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/620783f24e28382272337ba4/zkUveQPNiDfYjgGhuFErj.jpeg","isPro":false,"fullname":"GuoLiangTang","user":"Tommy930","type":"user"},{"_id":"65377c30e48353201e6fdda0","avatarUrl":"/avatars/a8f803b6f2e598eaee9c52c0d2ddfc16.svg","isPro":false,"fullname":"Jiaheng Liu","user":"CheeryLJH","type":"user"},{"_id":"67f5982ee6293b1b2a3c39ff","avatarUrl":"/avatars/bbd2c3858131876536c008d1dbdde023.svg","isPro":false,"fullname":"Jiapeng Chen","user":"GabbyChen","type":"user"},{"_id":"62970df979f193515da13dc0","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62970df979f193515da13dc0/A-mgKIcgTXRJ54GCHswTq.jpeg","isPro":false,"fullname":"Yanjun Shao","user":"super-dainiu","type":"user"},{"_id":"6578265ddea7e2122d02f6ba","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6578265ddea7e2122d02f6ba/Bh6JjoVF5ceLSjV7Z7nTk.jpeg","isPro":false,"fullname":"kang zhu","user":"kangz","type":"user"},{"_id":"6750142023e47fa7ff42fabc","avatarUrl":"/avatars/2a7ebdcf79907dd39cbad40d03085b71.svg","isPro":false,"fullname":"Linabear","user":"xyz2021314","type":"user"},{"_id":"67930201aad25d3eecab81cc","avatarUrl":"/avatars/afa8e19ccd5214979e405caf462d7a72.svg","isPro":false,"fullname":"ZiyangZhou","user":"AzHouangy","type":"user"},{"_id":"64301abe450c0de9a1d3d18e","avatarUrl":"/avatars/01b284874dadc7d21d656c53dcb77e42.svg","isPro":false,"fullname":"tianrui","user":"tianyue818","type":"user"},{"_id":"64b15284372d4340772a3dca","avatarUrl":"/avatars/417d5f1bc1bcb5e4d5de6169673c2cf7.svg","isPro":false,"fullname":"Zefan Cai","user":"ZefanCai","type":"user"},{"_id":"65cae89119683f9817c049ea","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65cae89119683f9817c049ea/A0XxjmaJldu28JhFvWmpP.jpeg","isPro":false,"fullname":"Wenqi Shi","user":"wshi83","type":"user"},{"_id":"64ba096e760936217a3ad2e2","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64ba096e760936217a3ad2e2/aNQK83Jg5PsBkY0UDg-RA.jpeg","isPro":false,"fullname":"Linzheng Chai","user":"Challenging666","type":"user"}],"acceptLanguages":["*"],"dailyPaperRank":0}">