AI-Agent-Papers is a curated open-source repository that collects research papers related to artificial intelligence agents and agentic systems. The project organizes a large body of academic work covering topics such as planning, reasoning, tool use, self-correction, memory systems, and safety mechanisms for AI agents. The repository categorizes papers into structured themes including agent capabilities, agent architectures, and practical applications across different domains. It also includes categories for survey papers, benchmarks, and tutorials, helping researchers understand both foundational theory and emerging developments in the field. The collection is updated regularly, providing a continuously evolving reference for the rapidly growing literature on autonomous AI systems. Because the repository aggregates research from many different sources, it helps developers and researchers quickly identify important trends and influential publications.

Features

  • Curated collection of research papers focused on AI agents
  • Structured categories covering agent capabilities and architectures
  • Sections dedicated to benchmarks, surveys, and tutorials
  • Regularly updated repository tracking new publications
  • Coverage of specialized areas such as multi-agent systems and web agents
  • Educational resource for researchers studying agentic AI systems

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