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LLM-Agent-Paper-Digest

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Curated digest of recent LLM-powered agent papers from top conferences.

Autonomous AgentsResearch 319Open source
View on GitHub
Updated 2026-06-16
LLM-Agent-Paper-Digest GitHub repository

What is LLM-Agent-Paper-Digest?

This open-source repository gathers papers on LLM-powered agents that appeared at leading venues, beginning with NeurIPS 2023. Content is arranged under clear headings such as Agent Profile, Memory, Planning, and Application areas.

Each entry supplies the paper title, arXiv link, code repository when available, and a concise summary of the core idea. The structure helps readers locate work on specific components like memory buffers or planning modules without scanning entire proceedings.

The resource targets researchers and practitioners who want a focused starting point for exploring autonomous agents, while directing them to the companion LLM-Agent-Survey for deeper reading.

Capabilities

curate llm agent papers
summarize research papers
categorize agent topics
link papers and code
track conference publications

What you can build with LLM-Agent-Paper-Digest

Topic-specific paper discovery

Browse sections on agent memory or planning to locate relevant NeurIPS papers and their code implementations quickly.

Survey preparation

Use the categorized lists and TLDR summaries to build background knowledge before writing a literature review on LLM agents.

Contribution tracking

Monitor the repository for newly added papers and contribute corrections or additional top-conference entries.

Install LLM-Agent-Paper-Digest

  1. 1Open the GitHub repository page in a browser.
  2. 2Navigate to the Contents section and select a category such as Agent Memory.
  3. 3Review the listed papers, TLDR summaries, and external links.
  4. 4Follow the arXiv or code links to read the original work.
  5. 5Check the linked survey repository for expanded coverage and updates.

LLM-Agent-Paper-Digest: pros & cons

Pros

  • +Clear topical organization speeds up literature searches
  • +Direct links to papers and code reduce lookup time
  • +Focus on recent top-conference publications keeps content current
  • +Connects readers to a more comprehensive survey

Cons

  • Coverage currently restricted to NeurIPS 2023
  • Static markdown format offers no search or filtering tools
  • Depends on manual updates and community contributions
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Frequently asked questions

The repository currently features papers from NeurIPS 2023, with plans to expand to additional venues.

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