CrewAI vs DSPy
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | CrewAI | DSPy |
|---|---|---|
| GitHub Stars | 51.5K | 34.5K |
| Contributors | 296 | 393 |
| Last Commit | May 15, 2026 | May 15, 2026 |
| Open Issues | 316 | 474 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in CrewAI
Only in DSPy
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 DSPy
DSPy replaces prompt engineering with programming. Instead of writing prompts, you define modules with input/output signatures and DSPy automatically optimizes the prompts and weights for your pipeline. Supports chain-of-thought, retrieval-augmented generation, and multi-hop reasoning patterns. From Stanford NLP.
View full listing