Building the intelligent context layer for AI agents.
Versuno helps teams create, version, and maintain the context built for AI agents to get shit done right.
It started with a frustrated 16-year-old and a bad coding agent.
I was 16, learning Unity, building my first mobile game with GitHub Copilot as my coding agent.
Every time I started a new session, the same thing happened. I'd ask it to handle navigation and it would hallucinate. It had no idea how I solved it two sessions ago. I'd explain it how it's done, it would get it right, and then the next session we'd start from 0 again.
It wasn't the model's fault because the model (Claude Sonnet 4) was doing really well. The problem was that it had no context about the project I'm working on, architecture I'm building toward, and decisions I've made. And every time I wanted it to do things my way, I had to remind it, which was really frustrating.
So I built the simplest possible fix. A prompt library where I'd store my contexts and prompts. Before starting a session, I'd open it, copy the project context I needed it to know and paste it in. Not elegant, not automated, but it just worked. My agent finally knew how I handled navigation. It stopped hallucinating on the things I'd already figured out.
Over time, that copy-paste workflow became frustrating too, so I started thinking about how to automate it. How agents could pull the context they need to tackle a specific request and write back when it learnt something new or changed something important.
That's what Versuno became. Not a prompt library you manually copy-paste from. The context layer where humans and agents can create the right context to get shit done. Structured, versioned, and ready to serve.
We're building toward that vision.
Our Mission
Give every AI agent the context it needs to do the job right.
AI agents are only as good as the context behind them. Right now that context lives in scattered files, Slack threads, and someone's memory - undocumented, stale, and wrong. Agents make decisions based on information that's already outdated.
Agents make decisions based on information that's already outdated. Versuno fixes this. One place where your team builds, versions, and governs the context your agents depend on: skills, personas, prompts, and domain knowledge. Structured, versioned, and served to any agent at runtime via API and MCP.
We're building the context layer that makes AI agents competent at your specific company. Not generic. Not hallucinating things you've already solved. Actually equipped to do the job.
