HelixDB

Combine connected records, graph traversal, and search for AI memory and retrieval.

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Meet HelixDB

HelixDB is a database for connecting information used by AI applications and agents. It combines graph relationships with vector and keyword search, allowing a query to traverse relevant records before searching within them. Developers can model connections among documents, code, people, services, and projects in one system.

The approach supports persistent agent context, internal knowledge retrieval, and source-linked answers based on records a user is allowed to access. Deployment options include an embedded database and a self-hosted Docker server, with storage choices suited to the setup. Developers use the linked records to retrieve context for their application rather than maintaining separate search and relationship layers.

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