CrewAI vs Relevance AI
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
Relevance AI
No-code platform for building and deploying multi-agent AI workflows
| Metric | CrewAI | Relevance AI |
|---|---|---|
| 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 |
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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 Relevance AI
Relevance AI is a no-code platform for building multi-agent AI workflows. It provides a visual builder for creating agent teams with custom tools, knowledge bases, and integrations. Agents can be deployed as APIs, embedded in applications, or shared as standalone tools. Focuses on business teams building AI-powered internal tools.
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