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.