CrewAI vs Vellum
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | CrewAI | Vellum |
|---|---|---|
| GitHub Stars | 47.7K | — |
| Contributors | 284 | — |
| Last Commit | Apr 1, 2026 | — |
| Open Issues | 487 | — |
| License | open-source | commercial |
| Pricing | open-source | freemium |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in CrewAI
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About CrewAI
CrewAI is a lean, fast multi-agent orchestration framework that lets you define autonomous AI agents with distinct roles, goals, and backstories, then assign them tasks within a structured crew. Agents collaborate, delegate, and pass context to each other using a role-playing paradigm that maps naturally to real team workflows. CrewAI supports sequential and hierarchical process flows, integrates with LangChain tools, and ships with a CLI for scaffolding new projects. It is the go-to framework for task-driven multi-agent systems without heavy infrastructure overhead.
View full listingAbout Vellum
Vellum is an AI development platform with a visual workflow builder, prompt playground, and evaluation suite. It provides both no-code visual tools and a full SDK for building production LLM applications. Enterprise features include version control, A/B testing, access controls, and deployment management.
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