CrewAI wins (8.4 vs 7.0). Choose CrewAI for role-based agent definition — it has 22,000+ stars and 40+ integrations. Choose AutoGPT for autonomous goal decomposition with CrewAI is cheaper to self-host.
| Feature | AutoGPT | CrewAI |
|---|---|---|
| Primary Use Case | Pioneering open-source autonomous AI agent that chains LLM calls to accomplish complex goals with minimal human intervention | Multi-agent orchestration framework where AI agents collaborate on complex tasks with defined roles, goals, and tools |
| GitHub Stars | 165,000+ | 22,000+ |
| Integrations | 30+ | 40+ |
| Language | Python | Python |
| License | MIT | MIT |
| Min RAM | 4GB | 512MB |
| Docker Image Size | ~900MB | ~200MB |
| Self-Host Cost | $20/mo | $5/mo |
| Cloud Pricing | N/A (self-host only) | $30/mo |
| Ease of Use | 5/10 | 8/10 |
| AI Capabilities | 8/10 | 9/10 |
| Community Score | 9.5/10 | 8/10 |
| Contributors | 600+ | 150+ |
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 CrewAI 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.
Teams building collaborative multi-agent systems where specialized AI agents work together on complex tasks. It stands out with role-based agent definition, sequential & hierarchical processes, custom tool integration, making it ideal for multi-agent systems.
You need the strengths of both. AutoGPT handles autonomous goal decomposition while CrewAI provides role-based agent definition. 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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