MAELSTROM
Memory Core
Giving LLMs a persistent state that lets them finally gain awareness in the world.
Persistent Memory
Today's LLMs and code-assist LLMs are a crude approximation of what is possible. If you've ever used them, you can see that they are genius coders, but lack big-picture context and awareness. Current LLMs exist in a perpetual amnesia — every conversation starts from zero. Maelstrom gives agents a living memory that persists across sessions, accumulates knowledge, and builds genuine understanding over time. Not a vector database bolted on as an afterthought. A native memory architecture. This work is grounded in novel PhD thesis work, and developed by its creator.
World-State Awareness
An agent without state is a brain in a jar. Maelstrom maintains a continuously updated model of the world — tracking changes, relationships, and context that let agents reason about reality as it actually is, not as it was when training data was frozen.
Autonomous Evolution
With persistent state comes the capacity to grow. Agents powered by Maelstrom don't just execute — they learn from outcomes, refine their approaches, and develop specialized expertise without retraining. The memory core is the missing piece that transforms a language model into something that lives in the world.