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awesome-llm-powered-agent

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A curated, updated list of papers, repositories, and resources on LLM-powered agents. The repo aggregates and links numerous works and open-source projects related to autonomous agents and multi-agent systems.

2.3kstars
227forks
68issues
MITlicense
2023since
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Reviewgenerated from repository data · Aug 5, 2026

What it is

The repository is an exhaustive collection of resources related to LLM-powered agents, including papers, repositories, and blogs. It aims to cover autonomous task solving, multi-agent cooperation, frameworks/open-source, and applications across web, RL, robotics, gaming, and other areas. It notes that it is not under active maintenance and focuses on papers before Oct 2023 with some later items.

How it works

The README organizes content by sections such as Papers (with subsections like Autonomous Task Solver, General Reasoning & Planning & Tool Using, Multi-Agent Cooperation, Framework & Open-Source, Application, Trustworthy), Human Interaction topics, Agents-Powered LLMs, Benchmark, Survey & Tutorial, and Open-Source Projects. Each entry includes title, authors, venue, and links to paper, code, and project pages when available.

Getting started

The repository provides resource listings; there are no installation or runtime steps described for using the collection itself. It invites contributions via PRs, issues, emails, or other methods. It also states the repository is not under active maintenance.

Recent releases

The Releases section lists

  • none for the latest release, indicating no tagged releases.

Traction

Not applicable as no stars_7d or stars_1d data is provided in the facts.

Behind the repo

No linked startup or company information is present in the provided facts.

Caveats

License: MIT. Created 2023-07-25. Last push 2025-04-30. Open issues: 68. Language: - . Topics include awesome-list, chatgpt, embodied-agent, embodied-ai, foundation-model, generative-models, llm-powered-agents, llms. The README notes the project is not under active maintenance and focuses on papers before Oct. 2023 with several further papers.

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