BeeAI vs Mastra
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
BeeAI suits teams needing open-source access, memory focus, and 3,383 GitHub stars in current listing data. Mastra suits teams needing open-source access, workflows focus, and 27,357 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | BeeAI | Mastra |
|---|---|---|
| GitHub Stars | 3.4K | 27.4K |
| Contributors | 97 | 465 |
| Last Commit | Aug 20, 2026 | Aug 22, 2026 |
| Open Issues | 10 | 523 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose BeeAI if you need
- • BeeAI is the stronger pick when Memory matters because that capability is listed only on its profile.
- • BeeAI is the cleaner fit if you specifically need Ibm workflows from the catalog tags.
Choose Mastra if you need
- • Mastra is the stronger pick when Workflows matters because that capability is listed only on its profile.
- • Mastra shows broader GitHub adoption with 27,357 stars versus 3,383 for BeeAI.
- • Mastra has a larger visible contributor base (465 vs 97).
Meaningful differences
- • GitHub adoption: BeeAI shows 3,383 stars versus 27,357 for Mastra.
- • Contributor count: BeeAI lists 97 contributors and Mastra lists 465.
Shared capabilities
- • Typescript
- • Multi Agent
- • Open Source
- • Tool Calling
Shared Tags
Only in BeeAI
Only in Mastra
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
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 Mastra
Mastra is a TypeScript-first framework for building AI agents, workflows, and RAG pipelines. It provides a unified interface for connecting to LLMs, managing tools, and orchestrating multi-step agent workflows with built-in observability. Mastra emphasizes developer experience with type-safe APIs, local development tools, and seamless deployment to serverless environments.
View full listing