# AI frameworks

Framework integrations that let AI and machine learning libraries use SurrealDB for vectors, memory, and pipelines.

SurrealDB integrates with widely used AI and machine learning frameworks so you can use a single database for features, training or evaluation pipelines, and agent orchestration. Each integration page explains setup, typical patterns, and links to upstream documentation where helpful.

Available integrations:

- [Agno](/docs/build/integrations/ai-frameworks/agno.md)
- [CAMEL](/docs/build/integrations/ai-frameworks/camel.md)
- [CrewAI](/docs/build/integrations/ai-frameworks/crewai.md)
- [Dagster](/docs/build/integrations/ai-frameworks/dagster.md)
- [Google Agent Development Kit](/docs/build/integrations/ai-frameworks/google-agent.md)
- [LangChain](/docs/build/integrations/ai-frameworks/langchain.md)
- [LlamaIndex](/docs/build/integrations/ai-frameworks/llamaindex.md)
- [PydanticAI](/docs/build/integrations/ai-frameworks/pydantic-ai.md)
- [smolagents](/docs/build/integrations/ai-frameworks/smolagents.md)

For a comparative table and links to deeper guides, start from the [AI frameworks overview](/docs/build/integrations/ai-frameworks/overview.md).