Agno vs LlamaIndex
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Agno if you want high-performance python framework for multi-agent systems (Supervised agent, freemium); choose LlamaIndex if you want open-source data framework for rag pipelines and data-grounded agents (Supervised agent, freemium).
| Agno | LlamaIndex | |
|---|---|---|
| What it is | High-performance Python framework for multi-agent systems | Open-source data framework for RAG pipelines and data-grounded agents |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium | freemium · Framework free (MIT); LlamaCloud has a free tier |
| Best for | developers, smb, enterprise | developers, enterprise, mid-market |
| Deployment | self-hosted, api | self-hosted, api, saas |
| Modalities | text, code, api, image | text, code, api |
| Models | model-agnostic, open-source | model-agnostic, gpt, claude, open-source |
| Protocols | function-calling, mcp, rest-api | function-calling, mcp, rest-api |
| Integrations | OpenAI, Anthropic, Google, Ollama, pgvector, Qdrant | OpenAI, Anthropic, Pinecone, Qdrant, AWS Bedrock, Hugging Face |
| Capabilities | 4 documented | 4 documented |
Agno
- +Strong performance focus (fast instantiation, low memory) with a clean Python API
- +Clear path from prototype to production via the AgentOS runtime
- +Broad model, vector-DB, and tool coverage, all self-hostable
- -Python-only
- -Younger and smaller ecosystem than LangChain
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?
Agno is high-performance python framework for multi-agent systems, best for developers, smb, enterprise. 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 Agno and LlamaIndex profiles. Open either profile to review its evidence and last-reviewed date.