Accelerating scientific discovery with self-improving systems.
Pylit builds self-improving systems that help humans and AI teams work together on longer, harder, more consequential problems by compounding execution evidence into reusable logic.
OpenDream
Persistent memory for research systems: traces, reviews, and graph-backed context that survive across sessions.
Humanity advances when intelligence compounds.
Science is civilization’s most important compounding machine. It turns observation into theory, theory into experiment, experiment into evidence, and evidence into new capability. Self-improving systems should help compress that loop without discarding rigor, skepticism, or human judgment.
Progress compounds when execution evidence updates reusable artifacts.
The useful abstraction is not that an AI improves itself. It is that a system converts evidence into better candidates, memories, skills, tools, harnesses, programs, and verification contracts.
Memory, skills, tools, harnesses, and programs become the substrate of discovery.
Pylit starts with focused systems, tests them in real workflows, and keeps the parts that improve future work. The open-source work is the proving ground. Products may follow where reliability, governance, collaboration, and scale become necessary.