This repository curates a daily updated list of research papers focused on autonomous agents powered by Large Language Models (LLMs). It serves as a valuable resource for researchers and developers in the AI field interested in the latest advancements in agentic systems, LLM applications, and related technologies.

How It Works

The repository organizes research papers chronologically, providing concise summaries of their core contributions. It highlights key components and architectural choices within each paper, offering insights into novel approaches and methodologies for building more capable and sophisticated autonomous agents.

Quick Start & Requirements

• Installation: No installation required; it's a curated list of papers.
• Requirements: Access to the internet to view the papers.
• Resources: Links to official papers and related resources are provided within the README.

Highlighted Details

• Daily Updates: The list is updated daily, ensuring access to the most recent research.
• Comprehensive Coverage: Papers span various aspects of autonomous agents, including healthcare compliance, feature selection, natural hazard resilience, code generation, and AI agent protocols.
• Architectural Insights: Details on agent components, data flow, and key technologies like RAG, MCTS, and reinforcement learning are frequently mentioned.
• Application Diversity: Research covers applications from healthcare and finance to software development and cybersecurity.

Maintenance & Community

• The repository is maintained by tmgthb.
• Links to Twitter are provided for community engagement.

Licensing & Compatibility

• The repository itself is open-source.
• Licensing for the individual papers would depend on their respective publication venues.

Limitations & Caveats

This repository is a curated list and does not provide code or direct access to the research implementations. Users will need to follow the links to access the full papers and any associated code repositories.