This repository is a comprehensive, community-driven collection of over 1,500 resources, tools, and projects related to AI agents. It serves as a valuable hub for researchers, developers, and enthusiasts looking to explore, learn, and build with AI agents, offering daily updates on the latest advancements.

How It Works

The repository is meticulously organized into categories such as Frameworks, LLM Models, Datasets, Tools, and Benchmarks, making it easy to navigate and discover relevant components. It aims to foster a collaborative ecosystem by encouraging community contributions and staying updated with the rapidly evolving field of AI agents.

Quick Start & Requirements

• Install/Run: No specific installation or runtime commands are provided as this is a curated list of resources.
• Prerequisites: Varies by individual resource listed. Many projects require Python, specific libraries, and potentially API keys (e.g., OpenAI API).
• Links:
  • Awesome AI Agents GitHub
  • Newsletter Subscription

Highlighted Details

• Over 1,500 curated resources covering AI agents.
• Organized into 15+ categories including frameworks, models, datasets, and tools.
• Encourages community contributions and provides resources for learning.
• Daily updates on the latest developments in AI agents.

Maintenance & Community

• Community-driven with an emphasis on contributions.
• Encourages sharing of projects, tools, and resources.
• Newsletter available for daily updates.

Licensing & Compatibility

• Licensed under the Apache 2.0 license.
• Open source, allowing for forking and extension.

Limitations & Caveats

This repository is a curated list and does not provide a unified interface or direct functionality. Users must individually explore, install, and configure the listed resources, which may have their own dependencies and requirements.