Versanova – A memory and learning layer for AI agents

Summary: Versanova adds a memory and learning layer to AI agents, enabling them to remember, adapt, and improve over time with minimal code. It continuously distills experiences into reusable knowledge, updating agent behavior across workflows beyond static prompts and brittle memory systems.

What it does

Versanova integrates alongside large language models and memory to provide continuous learning by distilling experiences into updated knowledge. It offers observability, control, and predictable updates for production-ready AI agents.

Who it's for

It is designed for companies building AI agents that require adaptive learning and improved performance in real workflows.

Why it matters

It addresses the limitation of AI agents that cannot evolve from experience or share knowledge, enabling scalable, agentic systems that improve over time.