LLMAgentPapers
by Community
Must-read Papers on LLM Agents.
Agents
LLMAgentPapers
Added 1 June 2026
Overview
LLMAgentPapers is a community-curated GitHub repository that catalogs must-read research papers on LLM agents. It organizes seminal and recent works into a structured list, helping researchers and developers quickly locate key literature.
Best for
Best for
Researchers and developers new to LLM agents who need a curated reading list of essential papers
Use cases
- Exploring foundational and cutting-edge papers on LLM agents
- Identifying trends and key authors in the autonomous agents space
- Building a reading list for onboarding into LLM agent research or development
Notes
LLMAgentPapers is a community-curated GitHub repository that catalogs must-read research papers on LLM agents. It organizes seminal and recent works into a structured list, helping researchers and developers quickly locate key literature.
3,023 stars on GitHub. Last updated 2026-04-17.
Use cases
- Exploring foundational and cutting-edge papers on LLM agents
- Identifying trends and key authors in the autonomous agents space
- Building a reading list for onboarding into LLM agent research or development
Pros
- High-quality, curated selection of influential papers
- Well-structured repository with clear categories for easy navigation
- Actively maintained with community contributions and updates
Cons
- Not an executable tool or framework, only a reference list
- May not include the very latest papers due to curation latency
- Limited filtering or search beyond basic category grouping
Indexed from awesome-llm-powered-agent and enriched against its public facts.
Pros
- High-quality, curated selection of influential papers
- Well-structured repository with clear categories for easy navigation
- Actively maintained with community contributions and updates
Cons
- Not an executable tool or framework, only a reference list
- May not include the very latest papers due to curation latency
- Limited filtering or search beyond basic category grouping
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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