BeeAI 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 | BeeAI | Relevance AI |
|---|---|---|
| GitHub Stars | 5.2K | — |
| Contributors | 45 | — |
| Last Commit | Mar 20, 2026 | — |
| Open Issues | — | — |
| License | open-source | commercial |
| Pricing | open-source | freemium |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in BeeAI
Only in Relevance AI
About BeeAI
BeeAI (Bee Agent Framework) is an open-source TypeScript framework for building, deploying, and serving production-ready multi-agent systems. Built by IBM Research, it provides a modular architecture with support for tool calling, memory, streaming, and serialization. BeeAI supports multiple LLM providers and emphasizes type safety and testability.
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.
View full listing