CrewAI (8.4/10) vs AutoGen (8.2/10) — extremely close. CrewAI stands out with role-based agent definition and 40+ integrations. AutoGen wins on multi-agent conversations with similar self-hosting costs. Your choice depends on whether you prioritize workflow style.
| Feature | CrewAI | AutoGen |
|---|---|---|
| Primary Use Case | Multi-agent orchestration framework where AI agents collaborate on complex tasks with defined roles, goals, and tools | Microsoft's framework for building multi-agent conversational AI systems where agents chat and collaborate to solve tasks |
| GitHub Stars | 22,000+ | 33,000+ |
| Integrations | 40+ | 25+ |
| Language | Python | Python |
| License | MIT | MIT |
| Min RAM | 512MB | 1GB |
| Docker Image Size | ~200MB | ~250MB |
| Self-Host Cost | $5/mo | $5/mo |
| Cloud Pricing | $30/mo | N/A (self-host only) |
| Ease of Use | 8/10 | 6.5/10 |
| AI Capabilities | 9/10 | 9/10 |
| Community Score | 8/10 | 8.5/10 |
| Contributors | 150+ | 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 CrewAI and AutoGen with one click, persistent storage included, auto-SSL, and subdomain routing — starting at $9.99/month.
Teams building collaborative multi-agent systems where specialized AI agents work together on complex tasks. Key features include role-based agent definition, sequential & hierarchical processes, custom tool integration, 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. CrewAI handles role-based agent definition 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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