CrewAI vs LiteLLM
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
CrewAI suits teams needing open-source access, multi agent focus, and 57,447 GitHub stars in current listing data. LiteLLM suits teams needing open-source access, api gateway focus, and 56,974 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 | LiteLLM |
|---|---|---|
| GitHub Stars | 57.4K | 57.0K |
| Contributors | 301 | 376 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 822 | 4989 |
| 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 Multi Agent matters because that capability is listed only on its profile.
- • CrewAI shows broader GitHub adoption with 57,447 stars versus 56,974 for LiteLLM.
- • CrewAI is the cleaner fit if you specifically need Multi Agent workflows from the catalog tags.
Choose LiteLLM if you need
- • LiteLLM is the stronger pick when Api Gateway matters because that capability is listed only on its profile.
- • LiteLLM has a larger visible contributor base (376 vs 301).
- • LiteLLM is the cleaner fit if you specifically need Api Gateway workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: CrewAI shows 57,447 stars versus 56,974 for LiteLLM.
- • Contributor count: CrewAI lists 301 contributors and LiteLLM lists 376.
Shared capabilities
- • Python
Shared Tags
Only in CrewAI
Only in LiteLLM
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 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 LiteLLM
LiteLLM provides a unified OpenAI-compatible API for 200+ LLM providers (OpenAI, Anthropic, Google, Azure, AWS Bedrock, Ollama, and more). Use one interface to call any model, with built-in load balancing, fallbacks, spend tracking, and rate limiting. Essential infrastructure for multi-model agent systems.
View full listing