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LLMAgentPapers

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Must-read Papers on LLM Agents.

L

Agents

LLMAgentPapers

Added 10 July 2026

#agent #agents #awsome-list #environment #in-context-learning #instruction-following #interactive #large-language-models

Overview

A curated GitHub repository listing must-read papers on LLM-based agents. It organizes research by topic such as reasoning, planning, and tool use to help developers stay current.

Best for

Best for
Researchers and developers exploring LLM agent theory and design

Use cases

  • Survey recent agent architectures and techniques
  • Find foundational papers for autonomous agent projects
  • Reference state-of-the-art methods in LLM agent research

Notes

A curated GitHub repository listing must-read papers on LLM-based agents. It organizes research by topic such as reasoning, planning, and tool use to help developers stay current.

3,073 stars on GitHub. Last updated 2026-07-05.

Use cases

  • Survey recent agent architectures and techniques
  • Find foundational papers for autonomous agent projects
  • Reference state-of-the-art methods in LLM agent research

Pros

  • High-quality curated list with over 3000 stars
  • Covers multiple subtopics in a single repository
  • Free and open-source community resource

Cons

  • No built-in tool or executable code
  • Relies on manual updates from contributors
  • Papers may not have accompanying implementations

Indexed from awesome-llm-powered-agent and enriched against its public facts.

Pros

  • High-quality curated list with over 3000 stars
  • Covers multiple subtopics in a single repository
  • Free and open-source community resource

Cons

  • No built-in tool or executable code
  • Relies on manual updates from contributors
  • Papers may not have accompanying implementations