# Awesome AI Agents

A curated list of AI agent frameworks, platforms, infrastructure, research papers and learning resources, organized by frameworks and libraries, platforms, evaluation and safety, tutorials, and use cases.

Awesome AI Agents tracks the AI agent ecosystem as a categorized list of links rather than original code. Sections include frameworks and libraries for multi-agent orchestration, such as AutoGen, CrewAI and Google's Agent Development Kit; platforms and low-code tools; agent infrastructure; evaluation and testing; safety and governance; research papers; tutorials and courses; and use cases and case studies.

Each entry is a short description of an external project or resource, for example noting that a given framework focuses on role-based agents with goals and backstories, or that another provides a control plane that makes agents callable as microservices with routing, memory and audit trails. The list accepts contributions through pull requests or suggestions.

It is licensed under CC0-1.0.

Website: https://github.com/aloth/awesome-ai-agents