Relevance AI vs Rivet
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 | Relevance AI | Rivet |
|---|---|---|
| GitHub Stars | — | 3.0K |
| Contributors | — | 30 |
| Last Commit | — | Feb 15, 2026 |
| Open Issues | — | — |
| License | commercial | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
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About 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.
View full listingAbout Rivet
Rivet is a visual programming environment for building, testing, and debugging AI agent workflows. Created by Ironclad, it provides a node-based IDE where developers can visually compose LLM chains, tool calls, conditionals, and loops. Rivet supports all major LLM providers, includes a TypeScript runtime for production deployment, and offers collaborative features for team-based AI development.
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