Zilliz Cloud provides first-class integrations with LangGraph, LlamaIndex, Agno, and OpenAI Agents, enabling seamless memory retrieval in agentic workflows.
AI agents built with modern frameworks (LangGraph, LlamaIndex, Agno, OpenAI agents) need simple, reliable access to memory. Zilliz Cloud integrations handle the connection seamlessly: agents call standard memory operations from their framework, and requests are routed to Zilliz Cloud automatically. For LangGraph agents, Zilliz Cloud acts as the state persistence layer, enabling stateful multi-step reasoning. For LlamaIndex agents, Zilliz Cloud backs query engines and memory modules, allowing agents to retrieve context efficiently. Agno agents can use Zilliz Cloud as the knowledge base, enabling agents to access domain expertise embeddings. OpenAI agents can query Zilliz Cloud through tool calls, enabling memory retrieval as part of agent decision-making. These integrations are not add-ons or workarounds—they're optimized for production use, with built-in error handling, retries, and observability. Teams can also implement custom integrations using the Zilliz SDK, which exposes all database operations in Python, TypeScript, and Go. Documentation and examples show patterns for each framework, reducing integration time from weeks to hours. For enterprises standardizing on a framework, these integrations accelerate time-to-production and ensure best practices are followed.