AutoGen Studio
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No-code GUI for prototyping and debugging multi-agent workflows on AutoGen
Key Features
Multi-Agent Single Agent Human-in-the-Loop Short-Term Memory Long-Term Memory MCP Protocol A2A Protocol Visual Builder Self-Hosted
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Strengths
- Excellent for rapid prototyping without code
- Intuitive GUI
- Reusable components
Weaknesses
- Less flexible than coding directly
- Tied to AutoGen ecosystem
- Limited for production
AutoGen Studio Details
| Organization | Microsoft |
| Organization Type | Company |
| Funding | Public |
| Category | Ready-to-Use |
| Subcategory | No code |
| Deployment | Self-Hosted |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | pip install -U autogenstudio |
| 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 |
| Sentiment | Positive |
| 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
- No-code multi-agent prototyping
- Agent workflow debugging
- Reusable component creation
- Quick agent experimentation
When to Use
Best for: Non-developers prototyping multi-agent workflows
Avoid when: Production deployment or custom agent logic needed
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a