Microsoft Research / github.com
Open source multi-agent AI framework from Microsoft Research enabling conversational and collaborative AI agent systems with flexible interaction patterns and human-in-the-loop support.
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
2
AutoGen (now AG2) is Microsoft Research's open source framework for multi-agent AI systems where multiple agents converse, collaborate, and involve humans in the loop. Supports sequential pipelines, hierarchical orchestration, nested agents, and group chats where agents discuss and converge. AutoGen Studio provides a web UI for visual agent design without code. Microsoft uses AutoGen internally for complex AI workflows, giving it strong research pedigree alongside practical enterprise validation.
Microsoft AutoGen runs as llm application framework software built around text and code workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on python and web (autogen studio), with API access for teams that want to embed it into their own products.
Recent YouTube videos cached from the backend so this page stays fast and fresh.
The capabilities that matter most for teams evaluating Microsoft AutoGen.
AI agents exchanging messages for collaborative reasoning and task completion through conversation.
UserProxy agents representing humans who can review, approve, or redirect agent actions at configurable checkpoints.
Web-based interface for designing and testing multi-agent systems visually.
Free and open source. No subscription cost. Requires own AI model API keys.
Model
Open Source
Starting price
Free
Free trial
No
CrewAI is more accessible for common multi-agent patterns. LangGraph provides stateful workflows within LangChain. OpenHands and Devin AI provide autonomous coding agents.
A side-by-side look at the closest alternative in this category.
Microsoft AutoGen
Microsoft Research
CrewAI
CrewAI
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, Anthropic, Agnostic
Platforms
Python, Web (AutoGen Studio)
Deployment
Open Source
Integrations
OpenAI, Anthropic, Azure OpenAI, Ollama, GitHub
Team Collaboration
No
Launch Year
2023
Compliance signals and data-handling notes as reported by the vendor.
Open source: data handling per configured LLM providers. AutoGen itself does not transmit data to Microsoft.
Data handling entirely through configured AI provider APIs. AutoGen itself does not transmit data to Microsoft.
Editorial Verdict
AutoGen is the best multi-agent framework for complex enterprise AI workflows requiring flexible interaction patterns. For simpler use cases, CrewAI is more accessible.
Last verified July 24, 2026.
Free and open source. No subscription cost. Requires own AI model API keys.
Open source free. CrewAI+ cloud $29/month Starter, $99/month Teams, Enterprise custom.
Open source: data handling per configured LLM providers. AutoGen itself does not transmit data to Microsoft.
Open source: data handling per configured LLM providers. CrewAI+ cloud: review CrewAI's data handling policy.
Data handling entirely through configured AI provider APIs. AutoGen itself does not transmit data to Microsoft.
Data handling depends on configured LLM providers. CrewAI+ cloud processes workflow data on CrewAI's infrastructure.
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
Sign in to rate Microsoft AutoGen and leave a review.
No other reviews yet — be the first to share how this tool performs in practice.
