# AI frameworks

Building AI agents and agent rules with SurrealDB.

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](/content/docs/build/integrations/ai-frameworks/agno/index.html)
- [CAMEL](/content/docs/build/integrations/ai-frameworks/camel/index.html)
- [CrewAI](/content/docs/build/integrations/ai-frameworks/crewai/index.html)
- [Dagster](/content/docs/build/integrations/ai-frameworks/dagster/index.html)
- [DeepEval](/content/docs/build/integrations/ai-frameworks/deepeval/index.html)
- [Dynamiq](/content/docs/build/integrations/ai-frameworks/dynamiq/index.html)
- [Feast](/content/docs/build/integrations/ai-frameworks/feast/index.html)
- [Google Agent Development Kit](/content/docs/build/integrations/ai-frameworks/google-agent/index.html)
- [LangChain](/content/docs/build/integrations/ai-frameworks/langchain/index.html)
- [LlamaIndex](/content/docs/build/integrations/ai-frameworks/llamaindex/index.html)
- [PydanticAI](/content/docs/build/integrations/ai-frameworks/pydantic-ai/index.html)
- [smolagents](/content/docs/build/integrations/ai-frameworks/smolagents/index.html)

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