Research on identifiable computational units (caps) for AI. Current paper: cap-augmented transformers achieve a 51% perplexity reduction over a matched-size baseline on TinyStories. Long-term direction: identifiable, self-evolving architectures.
The first AI-native operating system designed to run AI agent and inference workloads as first-class citizens.
Micro-agent core. The smallest possible thing that other useful things can be built on top of. An open alternative to OpenClaw.