📄️ Agent的颠覆性影响
This article explores the insights shared by OpenAI's co-founder Andrej Karpathy on the potential and future of AI Agents, comparing past difficulties with new opportunities brought by modern technologies.
📄️ Agents 组件详解
This article provides an in-depth look at the components of LLM-driven Agent systems, focusing on planning, memory, and tool usage.
📄️ AutoGPT - AI实现任务自动化
An overview of AutoGPT, its components, capabilities, and quick start guide for task automation using AI.
📄️ AgentGPT - 自主AI Agent平台
This page introduces AgentGPT, a platform for creating and deploying autonomous AI agents easily via a website.
📄️ HuggingGPT - 使用多模型解决复杂任务
An overview of HuggingGPT, an agent framework leveraging ChatGPT and Hugging Face for task execution.
📄️ MetaGPT - 多Agents协作新框架
This page introduces MetaGPT, a framework integrating workflows with multi-agent collaboration, ensuring a structured approach to problem-solving.
📄️ AI-town 虚拟小镇
This page discusses one of the most inspiring AI agent experiments in 2023, AI-town, and explores various virtual AI towns developed by different teams.
📄️ Agent能力评估 - API-Bank & AgentBench
This article explores the evaluation of Agent capabilities using API-Bank and AgentBench, including key methodologies and performance metrics.
📄️ Agents的未来
This article discusses the potential and challenges of OpenAI's Agent, an integration of LLM, memory, planning skills, and tool usage, aiming to reshape application scenarios.
📄️ 生产力Agent案例盘点
An overview of various productivity agents added to the awesome-ai-agents repository, highlighting their features and use cases.