LLM-Agents-Papers
by Community
A repo lists papers related to LLM based agent
Agents
LLM-Agents-Papers
Added 10 July 2026
Overview
LLM-Agents-Papers is a GitHub repository that curates a collection of academic papers focused on LLM-based agents. It serves as a centralized bibliography for researchers and developers tracking progress in autonomous agent architectures.
Best for
Best for
Researchers and developers who need a comprehensive, curated reading list on LLM-based agents
Use cases
- Surveying recent literature on LLM agent frameworks and methodologies
- Finding reference papers for implementing custom agent systems
- Staying updated with the latest research trends in autonomous agents
Notes
LLM-Agents-Papers is a GitHub repository that curates a collection of academic papers focused on LLM-based agents. It serves as a centralized bibliography for researchers and developers tracking progress in autonomous agent architectures.
2,328 stars on GitHub. Last updated 2025-07-12.
Use cases
- Surveying recent literature on LLM agent frameworks and methodologies
- Finding reference papers for implementing custom agent systems
- Staying updated with the latest research trends in autonomous agents
Pros
- Well-maintained list with 2,300+ stars indicating community trust
- Covers a broad range of topics from reasoning to tool use
- Regularly updated with new publications
Cons
- Contains only paper references, no code or implementation details
- Organization relies on README structure which can become unwieldy at scale
- No search or filtering beyond manual browsing
Indexed from awesome-llm-powered-agent and enriched against its public facts.
Pros
- Well-maintained list with 2,300+ stars indicating community trust
- Covers a broad range of topics from reasoning to tool use
- Regularly updated with new publications
Cons
- Contains only paper references, no code or implementation details
- Organization relies on README structure which can become unwieldy at scale
- No search or filtering beyond manual browsing
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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