CrewAI vs LlamaIndex
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose CrewAI if you want open-source framework for orchestrating role-based, collaborating multi-agent teams (Supervised agent, freemium); choose LlamaIndex if you want open-source data framework for rag pipelines and data-grounded agents (Supervised agent, freemium).
| CrewAI | LlamaIndex | |
|---|---|---|
| What it is | Open-source framework for orchestrating role-based, collaborating multi-agent teams | Open-source data framework for RAG pipelines and data-grounded agents |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Framework free (open source); paid tiers reported from ~$25/mo | freemium · Framework free (MIT); LlamaCloud has a free tier |
| Best for | developers, enterprise, mid-market | developers, enterprise, mid-market |
| Deployment | self-hosted, api, saas | self-hosted, api, saas |
| Modalities | text, code, api | text, code, api |
| Models | model-agnostic, gpt, claude | model-agnostic, gpt, claude, open-source |
| Protocols | function-calling, mcp, rest-api | function-calling, mcp, rest-api |
| Integrations | OpenAI, Anthropic, Slack, Serper, Datadog | OpenAI, Anthropic, Pinecone, Qdrant, AWS Bedrock, Hugging Face |
| Capabilities | 4 documented | 4 documented |
CrewAI
- +Clean, lean abstraction (Crews + Flows) that many developers find simpler and faster than heavier frameworks
- +Standalone (no LangChain dependency) with strong multi-agent collaboration primitives out of the box
- +Provides a managed enterprise control plane (observability, RBAC, human-in-the-loop) for moving to production
- -Multi-agent designs can compound error rates and cost; not always cheaper or more reliable than a single agent
- -Newer and smaller ecosystem than LangChain, with fewer integrations and less battle-testing
LlamaIndex
- +Best-in-class data and retrieval primitives (readers, indexes, retrievers, query engines) for grounding agents in your own data
- +Event-driven Workflows orchestrate multi-step agent processes with reflection and error-correction
- +Open source and model-agnostic, with LlamaCloud for managed document parsing and indexing
- -Framework, not a product: autonomy and quality depend entirely on what the developer builds
- -More oriented to data/RAG than to complex multi-agent orchestration compared with some peers
Which should you choose?
CrewAI is open-source framework for orchestrating role-based, collaborating multi-agent teams, best for developers, enterprise, mid-market. LlamaIndex is open-source data framework for rag pipelines and data-grounded agents, best for developers, enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced CrewAI and LlamaIndex profiles. Open either profile to review its evidence and last-reviewed date.