AG2用于构建和编排多智能体LLM工作流的开源框架。

4.7 (6)

审阅者 Daniel Nikulshyn·更新 2026年7月

概览

AG2是一款开发者框架，旨在协调多个支持大型语言模型（LLM）的智能代理，这些代理可以协作、委托任务和执行工具以解决复杂问题。它为定义智能代理角色、对话模式和共享内存提供了抽象概念，使得构建多个专业智能代理协同工作的系统变得更加容易，而不必依赖单个庞大的提示。该框架支持人与环交互、代码执行，以及与多家模型提供商和外部工具集成。它适用于诸如研究助手、自动化编码管道、数据分析工作流以及面向客户的代理等需要结构化推理和任务分解的场景。作为开源生态系统中早期多智能体项目的演进，AG2 强调可扩展性和社区贡献，为团队提供了一个原型设计、优化和部署智能体应用的基础。

主要功能

多智能体编排模式
可配置的智能体角色和对话
工具和函数调用集成
代码执行支持
人机协作工作流程
与LLM提供商无关的连接

价格

模型: Free
分类: AI Agents Frameworks
评分: 4.7 / 5 (6)

使用场景

多智能体编排

使用AG2构建、编排和演化AI智能体系统，创建 cohesive团队。

跨平台协调

在AG2、Google ADK、OpenAI和LangChain等不同平台上组装动态的 specialized角色团队。

统一状态管理

在任务生命周期内保持共享的 state，确保企业级协作和决策的可审计性。

优点 & 缺点

优点

开源且可扩展
对多智能体协作有强大的支持
与多个LLM提供商合作
内置人机协作和工具使用

缺点

需要开发者专业知识来设置
多智能体调试可能很复杂
文档仍在完善中

评测

4.7

6 个评分的平均值。

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Yuki Mori

Mar 12, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is configurable agent roles and conversations — handled better than most — and strong support for multi-agent collaboration. Requires developer expertise to set up is my one real gripe. Worth the time if this is your use case.

Beatriz Costa

Jan 20, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is code execution support — handled better than most — and open-source and extensible. Requires developer expertise to set up is my one real gripe. Worth the time if this is your use case.

Sofia Lindqvist

Dec 6, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is tool and function calling integration — handled better than most — and open-source and extensible. Worth the time if this is your use case.

Liam O’Connor

Dec 6, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is provider-agnostic LLM connections — handled better than most — and works with multiple LLM providers. Worth the time if this is your use case.

Jamal Carter

Sep 18, 2025

Use it every day

Honestly didn't expect to like it this much. Human-in-the-loop workflows is exactly what I needed, and open-source and extensible. I do wish requires developer expertise to set up, but I reach for it almost every day now and it just clicks.

Leila Hassan

Aug 12, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is multi-agent orchestration patterns — handled better than most — and strong support for multi-agent collaboration. Requires developer expertise to set up is my one real gripe. Worth the time if this is your use case.