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AutoGen — Microsoft 멀티 에이전트 대화 프레임워크

AutoGen은 AI 에이전트가 서로 및 인간과 대화하며 도구 사용과 인간 개입 워크플로우를 지원하는 Microsoft의 오픈소스 멀티 에이전트 프레임워크입니다.

AutoGen — Microsoft 멀티 에이전트 대화 프레임워크란 무엇인가요?

AutoGen은 Microsoft가 개발한 오픈소스 멀티 에이전트 프레임워크로, 여러 AI 에이전트가 서로 대화하고 인간과 협력하여 복잡한 작업을 해결할 수 있도록 설계되었습니다. 이 스킬은 에이전트 간 메시지 전달, 이벤트 기반 에이전트, 로컬 및 분산 런타임을 지원하며, Python과 .NET 간의 크로스랭귀지 기능도 제공합니다. 개발자는 pip를 통해 `autogen-agentchat`, `autogen-ext[openai]`, `autogenstudio` 패키지를 설치하고 OpenAI API 키를 설정하여 즉시 사용할 수 있습니다. AutoGen은 v0.2에서 업그레이드하는 사용자를 위한 마이그레이션 가이드와 함께 공식 GitHub 저장소 및 문서 사이트에서 자세한 정보를 확인할 수 있습니다.

지원 대상~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/autogen-microsoft-multi-agent-framework
원본 보기→모든 스킬 둘러보기

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

문서

AutoGen — Microsoft 멀티 에이전트 대화 프레임워크은(는) 무엇을 하나요?

AutoGen은 Microsoft의 오픈소스 프레임워크로, AI 에이전트가 서로 및 인간과 대화하며 작업을 해결할 수 있도록 설계되었으며, 도구 사용 및 인간 개입 워크플로우를 지원합니다.

사전 요구 사항

Python 3.10+, pip, OpenAI API 키 또는 호환 가능한 LLM

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • pip install -U "autogen-agentchat" "autogen-ext[openai]"
  • pip install -U "autogenstudio"

  • 먼저 npm install -g @playwright/mcp@latest를 실행하여 MCP 서버를 설치하세요.

업스트림의 요구 사항 및 주의 사항:

  • AutoGen은 Python 3.10 이상이 필요합니다.
  • python
  • Core API는 메시지 전달, 이벤트 기반 에이전트, 로컬 및 분산 런타임을 구현하여 유연성과 성능을 제공합니다. 또한 .NET 및 Python에 대한 크로스랭귀지 지원을 제공합니다.

기본 사용법 또는 시작 참고 사항:

문서

출처

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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