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awesome-llm-powered-agent

by hyp1231

awesome listpushed almost 2 years ago

Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

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Agent libraries

An exhaustive collection of resources on LLM-powered agents for software developers and researchers.

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What's in the list

219 links in 10 sections, with live GitHub stats.activeno commit in 2y

Papers / Autonomous Task Solver

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    πŸ”₯ [May 2024] ICML 2024. [ ] [ ]

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    πŸ”₯ [Mar 2024] arXiv. [ ] [ ] [ ]

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    [Dec 2023] arXiv. [ ] [ ] [ ]

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    πŸ“– [Dec 2023] AAAI 2024 [ ] [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ] [ ]

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    πŸ”₯πŸ“– [Oct 2023] ICLR 2024. [ ]

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    [Oct 2023] arXiv. [ ]

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    πŸ“– [Oct 2023] ICLR 2024. [ ]

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    πŸ“– [Sep 2023] NeurIPS 2023. [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ]

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    [Sep 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ]

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    πŸ”₯ [May 2023] arXiv. [ ] [ ]

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    πŸ“– [May 2023] NeurIPS 2023. [ ] [ ] [ ]

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    πŸ“– [May 2023] NeurIPS 2023. [ ] [ ]

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    πŸ”₯πŸ“– [May 2022] EMNLP 2023. [ ] [ ] [ ]

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    πŸ“– [May 2023] NeurIPS 2023. [ ] [ ] [ ]

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    πŸ“– [May 2023] EMNLP 2023 Findings. [ ] [ ]

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    [May 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Apr 2023] arXiv. [ ] [ ]

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    πŸ”₯πŸ“– [Mar 2023] NeurIPS 2023. [ ] [ ]

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    πŸ“– [Dec 2022] ACL 2023. [ ] [ ]

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    πŸ”₯πŸ“– [Oct 2022] ICLR 2023. [ ] [ ] [ ]

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    [Aug 2024] Qian Wang (NUS) et al.* arXiv. [ ]

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    [May 2024] Razan Baltaji (UIUC) et al.* arXiv. [ ] [ ]

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    [April 2024] Pei Chen (TAMU) et al.* NAACL 2024. [ ] [ ]

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    πŸ“– [Jan 2024] ICLR 2024. [ ] [ ] [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Aug 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ] [ ] [ ]

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    πŸ”₯ [Aug 2023] arXiv. [ ] [ ]

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    [Jul 2023] arXiv. [ ] [ ][ ]

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    [Jul 2023] arXiv. [ ] [ ]

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    [Jul 2023] arXiv. [ ] [ ] [ ]

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    [Jul 2023] arXiv. [ ]

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    [Jul 2023] arXiv. [ ] [ ] [ ]

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    [Jun 2023] arXiv. [ ] [ ]

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    [Jun 2023] arXiv. [ ]

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    [May 2023] arXiv. [ ] [ ]

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    πŸ”₯ [May 2023] arXiv. [ ] [ ]

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    [May 2023] arXiv. [ ] [ ] [ ]

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    [May 2023] arXiv. [ ]

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    [May 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Oct 2023] arxiv. [ ] [ ]

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    πŸ”₯ [Sep 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Sep 2023] arXiv. [ ] [ ] [ ]

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    πŸ”₯ [Sep 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Aug 2023] arXiv. [ ] [ ] [ ]

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    πŸ”₯ [Aug 2023] [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Jul 2023] arXiv. [ ] [ ] [ ]

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    [Jul 2023] arXiv. [ ]

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    πŸ”₯πŸ“– [Jun 2023] NeurIPS 2023. [ ] [ ] [ ]

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    [May 2023] arXiv. [ ]

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    [May 2023] arXiv. [ ] [ ]

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    πŸ“– [Apr 2023] arXiv. [ ]

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    [Mar 2023] arXiv. [ ] [ ] [ ]

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    πŸ“– [Jul 2022] NeurIPS 2022. [ ] [ ] [ ]

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    [May 2024] arXiv. [ ] [ ] [ ]

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    [May 2024] arXiv. [ ]

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    [Nov 2023] CRL WS @ CoRL 2023. [ ]

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    [Oct 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    [Jul 2023] arXiv. [ ]

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    [Jul 2023] Reincarnating RL @ ICLR 2023. [ ]

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    πŸ“– [Jun 2023] NeurIPS 2023. [ ]

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    [May 2023] arXiv. [ ]

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    [Nov 2024] , Humanoids 2024. [ ] [ ], [ ]

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    [Jul 2024] arXiv. [ ] [ ]

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    [Nov 2023] arXiv. [ ] [ ] [ ]

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    [Nov 2023] arXiv. [ ] [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ]

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    [Sep 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Jun 2023] arXiv. [ ] [ ]

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    πŸ”₯ [May 2023] arXiv. [ ] [ ]

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    πŸ”₯ [May 2023] arXiv. [ ] [ ] [ ]

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    [May 2023] arXiv. [ ]

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    πŸ“– [Feb 2023] NeurIPS 2023. [ ] [ ]

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    [Feb 2023] LaReL @ NeurIPS 2022. [ ]

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    [Jan 2023] ICML 2023. [ ] [ ] [ ]

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    πŸ“– [Dec 2022] ICCV 2023. [ ] [ ]

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    πŸ“– [May 2024] Findings of ACL 2024. [ ] [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ]

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    [Jul 2023] arXiv. [ ]

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    [May 2023] arXiv. [ ]

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    [May 2023] arXiv. [ ] [ ]

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    [Apr 2023] arXiv. [ ] [ ]

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    πŸ”₯πŸ“– [Mar 2023] NeurIPS 2023. [ ] [ ] [ ]

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    [May 2024] arXiv. [ ] [ ] [ ]

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    [Apr 2024] arXiv. [ ] [ ]

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    [Jan 2024] arXiv. [ ] [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ]

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    πŸ”₯ [Sep 2023] arXiv. [ ] [ ] [ ]

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    [Sep 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ]

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    πŸ”₯ [Sep 2023] arXiv. [ ] [ ] [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Jun 2023] arXiv. [ ]

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    [Apr 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Mar 2023] arXiv. [ ] [ ]

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    [Feb 2024] arXiv. [ ] [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ] [ ]

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    [Aug 2023] AutoMate @ IJCAI 2023. [ ]

Papers / Human Interaction Simulation

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    [Dec 2024] arXiv. [ ]

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    [Mar 2024] arXiv. [ ] [ ]

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    [Jan 2024] arXiv. [ ]

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    πŸ”₯ [Oct 2023] *Xuhui Zhou (CMU) et al.*ICLR [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ] [ ] [ ]

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    [Oct 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ] [ ]

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    [Sep 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Aug 2023] arXiv. [ ] [ ] [ ]

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    [Jul 2023] arXiv. [ ]

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    [Jul 2023] arXiv. [ ] [ ]

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    [Jul 2023] arXiv. [ ]

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    [Jul 2023] arXiv. [ ] [ ]

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    [Jul 2023] preprint. [ ] [ ]

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    [Jun 2023] arXiv. [ ] [ ]

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    [May 2023] arXiv. [ ]

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    [May 2023] arXiv. [ ]

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    [Apr 2023] arXiv. [ ] [ ] [ ]

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    πŸ”₯ [Apr 2023] arXiv. [ ] [ ]

Papers / Human-Agent Interaction

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    [Oct 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Aug 2023] arXiv. [ ]

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    [Jul 2023] arXiv. [ ]

Papers / Agents-Powered LLMs

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ]

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    πŸ”₯ [May 2023] arXiv. [ ] [ ]

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    πŸ“– [May 2023] NeurIPS 2023. [ ] [ ]

Papers / Benchmark

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    πŸ“– [Jul 2024] ACL 2024. [ ] [ ] [ ]

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    [Dec 2023] arXiv. [ ] [ ] [ ]

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    [Nov 2023] *Lin Xu et al.(NUS, ByteDance, Stanford & UC Berkeley) * arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Oct 2023] arXiv. [ ] [ ]

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    [Sep 2023] arXiv. [ ] [ ] [ ] [ ]

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    [Aug 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Aug 2023] arXiv. [ ] [ ] [ ]

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    [Aug 2023] arXiv. [ ]

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    πŸ“– [June 2023] NeurIPS 2023. [ ] [ ]

Papers / Survey & Tutorial

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    [Sep 2023] arXiv. [ ]

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    [Sep 2023] arXiv. [ ]

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    πŸ”₯ [Sep 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Aug 2023] arXiv. [ ] [ ]

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    πŸ”₯ [Mar 2023] (Sec. 6.3 - Planning for Complex Task Solving)." arXiv. [ ] [ ]

Open-Source Projects / Autonomous Task Solver Projects

  • Auto-GPT

    An experimental open-source attempt to make GPT-4 fully autonomous

  • πŸ¦œοΈπŸ”— LangChain

    Building applications with LLMs through composability

  • GPT Engineer

    Specify what you want it to build, the AI asks for clarification, and then builds it

  • MetaGPT

    🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

  • BabyAGI

    An AI-powered task management system

  • L2MAC

    πŸš€ The LLM Automatic Computer Framework: L2MAC

  • Yacana

    πŸ”­πŸ¦™ Powering opensource LLMs with multi-agent chats and builing workflows

  • Saplings

    – 🌳 Build smarter agents using tree search

Open-Source Projects / Multi-Agent Simulation Projects

  • AI Town πŸ πŸ’»πŸ’Œ

    A deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize

  • GPTeam

    An open-source multi-agent simulation

  • 🏟 ChatArena

    Multi-agent language game environments for LLMs

  • πŸ€– AgentVerse πŸͺ

    A flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs)

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