Multi-party conversational agent framework; part of Microsoft Agent Framework
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Shared Memory Plugin System Custom Tools MCP Protocol A2A Protocol Code Execution Visual Builder Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Excellent for multi-party conversations
- No-code Studio for prototyping
- Strong Microsoft backing
- Diverse conversation patterns
Weaknesses
- Shifting to maintenance mode
- Migration required to Microsoft Agent Framework
- Complex configuration
AutoGen Details
| Organization | Microsoft |
| Organization Type | Company |
| Funding | Public |
| Category | Framework |
| Subcategory | Multi agent |
| Deployment | Hybrid |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | pip install autogen-agentchat |
| GitHub Stars | 56,150 |
| GitHub Forks | 8,443 |
| Maturity | Stable |
| Pricing Model | Free |
| Free Tier | Fully open-source, free to use |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Very large |
| Community Activity | Active |
| Sentiment | Mixed |
| GPU Required | No |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, Azure OpenAI, Anthropic, Google, local models |
| API Keys Required | LLM provider API key |
Use Cases
- Multi-party conversational workflows
- Enterprise automation
- Collaborative agent problem-solving
- No-code agent prototyping (AutoGen Studio)
When to Use
Best for: Multi-party conversational workflows in Microsoft/.NET ecosystem
Avoid when: Long-term investment needed — transitioning to Microsoft Agent Framework
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a