AutoGen wins (8.2 vs 7.0). Choose AutoGen for multi-agent conversations — it has 33,000+ stars and 25+ integrations. Choose AutoGPT for autonomous goal decomposition with AutoGen is cheaper to self-host.
| Feature | AutoGPT | AutoGen |
|---|---|---|
| Primary Use Case | Pioneering open-source autonomous AI agent that chains LLM calls to accomplish complex goals with minimal human intervention | Microsoft's framework for building multi-agent conversational AI systems where agents chat and collaborate to solve tasks |
| GitHub Stars | 165,000+ | 33,000+ |
| Integrations | 30+ | 25+ |
| Language | Python | Python |
| License | MIT | MIT |
| Min RAM | 4GB | 1GB |
| Docker Image Size | ~900MB | ~250MB |
| Self-Host Cost | $20/mo | $5/mo |
| Cloud Pricing | N/A (self-host only) | N/A (self-host only) |
| Ease of Use | 5/10 | 6.5/10 |
| AI Capabilities | 8/10 | 9/10 |
| Community Score | 9.5/10 | 8.5/10 |
| Contributors | 600+ | 350+ |
Both tools are free to self-host. The real cost is infrastructure. Here's what you'll actually pay:
Skip the DevOps entirely. Deploy AutoGPT and AutoGen with one click, persistent storage included, auto-SSL, and subdomain routing — starting at $9.99/month.
Researchers and tinkerers exploring autonomous AI agent capabilities with full transparency into the reasoning chain. Key features include autonomous goal decomposition, web browsing & research, code generation & execution, making it the go-to choice for building autonomous agents workflows.
Enterprise teams building complex multi-agent workflows with Microsoft ecosystem integration and research focus. It stands out with multi-agent conversations, customizable agent types, code execution sandbox, making it ideal for multi-agent systems.
You need the strengths of both. AutoGPT handles autonomous goal decomposition while AutoGen provides multi-agent conversations. Many production teams combine them via APIs for a complete AI stack.
Persistent storage. Auto-SSL. Subdomain routing. No DevOps required.
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