AutoGen Studio,我认为这个项目把AutoGen可用性又拔高了一个层次的项目。项目给自己的定义是交互式的多Agent workflow 项目地址:github.com/microsoft/au 2. 安装AutoGen Studio pip 安装一下 conda activate autogen pip install autogenstudio 3. 快速上手 3.1 AutoGen Studio服务启动及相关选项 启动服务,先--help一...
🚀 AutoGen Multi-Agent Workflow TutorialThis repository contains a beginner-friendly AutoGen 0.4 tutorial demonstrating how to create an AI-powered multi-agent system with external API integrations (text-to-speech, image generation) and Ollama integration.🎥...
Today, we are introducing AutoGen Studio (version 0.1.0) – a low-code interface for rapidly building, testing, and sharing multi-agent solutions. AutoGen Studio is built on AutoGen and inherits its features and functionalities, while providing a user-friendly and i...
AI 学习笔记-autogen | 上周学完了autogen studio的课程,在上面能创建agent,添加skill,最后创建workflow, 然后多个agent 就能协同工作,完成任务。这个studio也是足够low code,全程几乎都是GUI界面操作。 +2 发布于 2024-12-31 08:36・IP 属地上海 赞同1 分享收藏 ...
In summary, AutoGen Studio is an exciting addition to the toolkit of any developer or organization looking to enhance their workflow automation capabilities. Its low-code interface, multi-agent support, and ease of integration make it a versatile and practical soluti...
AI-powered YouTube Shorts creation with AutoGen 0.4. Agents handle scripting, voiceovers, images, and video assembly—all automated! - gswithjeff/autogen-multi-agent-workflow
(JSON-based) specification. It provides an intuitive drag-and-drop UI for agent workflow specification, interactive evaluation and debugging of workflows, and a gallery of reusable agent components. We highlight four design principles for no-code multi-agent d...
Microsoft Autogen is an open-source framework that simplifies the creation and orchestration of AI agents, enabling multi-agent collaboration to solve complex tasks. It supports both [...]
多智能体系统(Multi-Agent Systems, MAS)是由多个智能体(agents)协同工作以解决复杂任务的系统。这些智能体可以是生成式 AI 模型、工具或其他计算单元,它们通过协作来完成单个智能体难以独立完成的任务。多智能体系统在许多领域展现了其强大的应用潜力,包括自动驾驶、智能制造、金融分析和医疗诊断等。在这些应用中,多智...
New AutoGen Core provides a streamlined approach to developing event-driven, distributed, scalable, and resilient AI agent systems. This guide will walk you through creating your first multi agent workflow, structuring data models, and expanding your solution to i...