When building AI Agent applications, there are dozens of frameworks and tools available, and it's impossible to know which one to choose. You can't possibly research each one individually. Coincidentally, I found this meticulously compiled list from Awesome Agents, which provides a fairly comprehensive navigation to AI agent tools. It includes various open-source tools needed to build AI Agents, and is clearly categorized into categories such as frameworks, testing and evaluation, software development, research, dialogue, games, knowledge management, and automation. GitHub: https://t.co/4f2tlh7VVS Main content: - Frameworks and tools: Includes mainstream AI agent frameworks such as LangChain, LlamaIndex, AutoGen, and CrewAI; - Testing and Evaluation: Provides tools specifically designed for AI Agent performance testing and evaluation; - Software development: Includes AI programming assistants such as MetaGPT, OpenHands, and Aider; - Research tools: covering research agents such as GPT Researcher and AI Scientist; - Automation applications: divided into two subcategories: browser automation and multimodal applications; - Each tool comes with a brief description and a number of GitHub stars for quick reference on its popularity. This book is suitable for developers who want to build AI Agent applications, as well as product researchers interested in this field.
