Get to know Cadenya
We’re developers who love to build. We set out to create a yes-code platform that makes building agents feel like the best parts of building software.
Building is in our nature
Cadenya began with a simple frustration: every agent project started with the same scaffolding. Queues, retries, tool plumbing, memory, observability — all rebuilt before any real work could happen. So we built the runtime we kept wishing existed, and teams put their energy into what their agents actually do.
“We care about reliability, performance, and API ergonomics. We love building things for developers.”
We’re a small team of infrastructure engineers and product builders who have shipped developer platforms before. We sweat the details that make a platform feel dependable: predictable APIs, clear errors, honest documentation, and defaults that keep you safe at 3 a.m.
The objectives data model is generic so you—the developer—can inject the creative ideas.
Objectives are how work moves through Cadenya. You define the outcome; your agents assemble the tools, memory, and sub-agents to reach it. The model stays out of your way, which means the interesting parts of your product stay yours.
If you can ship an API, you can spin up an agent.
Connect the APIs you already run, pick a model, and give your agent an objective. That’s the whole pitch. Everything else — variations, metering, webhooks, feedback — is there for the day you need it.
Grow wherever AI goes next.
Start shipping agents that are equipped to evolve.