CrewAI vs Microsoft Agent Framework
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
CrewAI suits teams needing open-source access, role playing focus, and 57,447 GitHub stars in current listing data. Microsoft Agent Framework suits teams needing open-source access, csharp focus, and 60,568 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 | CrewAI | Microsoft Agent Framework |
|---|---|---|
| GitHub Stars | 57.4K | 60.6K |
| Contributors | 301 | 444 |
| Last Commit | Aug 22, 2026 | Apr 15, 2026 |
| Open Issues | 822 | 997 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose CrewAI if you need
- • CrewAI is the stronger pick when Role Playing matters because that capability is listed only on its profile.
- • CrewAI is the cleaner fit if you specifically need Orchestration workflows from the catalog tags.
Choose Microsoft Agent Framework if you need
- • Microsoft Agent Framework stands out for Csharp workflows that are not listed for CrewAI.
- • Microsoft Agent Framework is the stronger pick when Orchestration matters because that capability is listed only on its profile.
- • Microsoft Agent Framework shows broader GitHub adoption with 60,568 stars versus 57,447 for CrewAI.
Meaningful differences
- • Workflow emphasis: CrewAI highlights Python, while Microsoft Agent Framework highlights Csharp.
- • GitHub adoption: CrewAI shows 57,447 stars versus 60,568 for Microsoft Agent Framework.
- • Contributor count: CrewAI lists 301 contributors and Microsoft Agent Framework lists 444.
Shared capabilities
- • Multi Agent
- • Python
Shared Tags
Only in CrewAI
Only in Microsoft Agent Framework
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.
Source links
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 Microsoft Agent Framework
Microsoft's Agent Framework is the convergence of AutoGen and Semantic Kernel into a unified multi-agent platform. It provides a consistent API for building, orchestrating, and deploying agent teams across Python and .NET, with enterprise features like managed identity, Azure integration, and production-grade observability.
View full listing