LLMs forget everything the second a session ends.
HydraDB is a memory layer that fixes it. One API. 92% recall under 200ms.
When one agent learns something, every agent in the stack knows it.
Nishkarsh (@contextkingceo)
Introducing HydraDB.
The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do.
We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now.
@hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise.
We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
Video
— https://nitter.net/contextkingceo/status/2061452631298752790#m