HydraDB OSS

HydraDB OSS is a unified context layer for AI that stores memories, knowledge, and the relationships between them in one graph. It ingests context, connects tools, and builds a context graph that is indexed in the background.

The tool emphasizes that a useful answer for agents depends on who asked, how decisions evolved, and the relevant project context rather than simple similarity. HydraDB keeps memories, documents, and enterprise context interconnected so agents can retrieve the appropriate context for the person asking and the task at hand.

HydraDB presents primitives to compose your own context stores, memory layers, and workflows.

Performance details include memory recall and enterprise benchmarks, with low latency figures and focus on speed, costs, and scale as core design goals. The site provides benchmarks and comparisons to illustrate retrieval performance and context usefulness across various agent workloads.

Use cases

• Customer support agents grounded in real customer history and preferences
• Coding agents with persistent memory of codebases and team conventions
• Clinical copilots tracking patient context across visits