Agno vs Weaviate
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 Weaviate if you want open-source ai database for vector search, hybrid search, rag, and agent memory (Assistant, freemium).
| Agno | Weaviate | |
|---|---|---|
| What it is | High-performance Python framework for multi-agent systems | Open-source AI database for vector search, hybrid search, RAG, and agent memory |
| Type | framework | platform |
| Autonomy | Supervised agent | Assistant |
| Pricing | freemium | freemium · Free tier; Flex from $45/mo; Plus from $280/mo; Premium from $400/mo |
| Best for | developers, smb, enterprise | developers, smb, mid-market, enterprise |
| Deployment | self-hosted, api | saas, self-hosted, api, on-prem |
| Modalities | text, code, api, image | api, code, text |
| Models | model-agnostic, open-source | open-source, model-agnostic |
| Protocols | function-calling, mcp, rest-api | rest-api, mcp, function-calling |
| Integrations | OpenAI, Anthropic, Google, Ollama, pgvector, Qdrant | OpenAI, Cohere, Hugging Face, Google, LangChain, LlamaIndex |
| Capabilities | 4 documented | 6 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
Weaviate
- +Open-source core (BSD-3-Clause) that can be fully self-hosted, with managed cloud and Bring Your Own Cloud (BYOC) options for teams that want control over data and cost
- +Strong hybrid search (vector plus BM25 keyword) with metadata filtering and multi-tenancy out of the box
- +Integrated vectorizers and a built-in MCP server reduce the glue code needed to wire embeddings and agents to the database
- -Usage-based cloud pricing (charged on vector dimensions and storage) plus monthly minimums can be hard to predict for growing workloads
- -Self-hosting the open-source database means operating and scaling search infrastructure yourself
Which should you choose?
Agno is high-performance python framework for multi-agent systems, best for developers, smb, enterprise. Weaviate is open-source ai database for vector search, hybrid search, rag, and agent memory, best for developers, smb, mid-market, enterprise. 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 Weaviate profiles. Open either profile to review its evidence and last-reviewed date.