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AutoGen — 微软多智能体对话框架

AutoGen 是微软的开源框架,用于构建多智能体系统,支持 AI 智能体之间及与人类合作完成任务,并集成工具调用和人机协同工作流。

AutoGen — 微软多智能体对话框架 是什么?

AutoGen 是微软推出的开源多智能体对话框架,专为构建复杂、协作的 AI 系统而设计。它允许多个 AI 智能体通过消息传递进行对话,并与人类协同完成任务。该框架支持工具使用(如函数调用、MCP 服务器集成)和人机交互(human-in-the-loop)工作流,适用于自动化、推理、代码生成等场景。AutoGen 兼容 Python 3.10 及以上版本,提供核心 API、事件驱动代理、本地及分布式运行时,并支持 .NET 与 Python 跨语言开发。用户可通过 pip 安装 `autogen-agentchat` 和 `autogen-ext` 等包,并配置 OpenAI API 密钥或兼容的 LLM 后端。框架还提供 AutoGen Studio 图形界面,便于快速原型设计和实验。

兼容平台~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/autogen-microsoft-multi-agent-framework

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

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AutoGen — 微软多智能体对话框架 是做什么的?

AutoGen 是微软的开源框架,用于构建多智能体系统,其中 AI 智能体可以相互之间以及与人类进行对话以完成任务,并支持工具调用和人机协同(human-in-the-loop)工作流。

前置要求

Python 3.10 以上版本、pip、OpenAI API 密钥或兼容的 LLM

安装

根据您的环境使用以下上游安装或配置方式:

  • pip install -U "autogen-agentchat" "autogen-ext[openai]"
  • pip install -U "autogenstudio"
  • 首先运行 npm install -g @playwright/mcp@latest 以安装 MCP 服务器。

来自上游的要求和注意事项:

  • AutoGen 需要 Python 3.10 或更高版本。
  • python
  • 核心 API 实现了消息传递、事件驱动的智能体以及本地与分布式运行时,以提供灵活性和强大功能。它还支持 .NET 和 Python 的跨语言支持。

基本用法或入门说明:

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来源

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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