The Agent that builds Agents
Skybert designs, builds and optimizes high performing agentic systems for your business needs.
Skybert is an agent builder built on top of Pi (like OpenClaw) that runs in your terminal, paired with a python framework that enables continous improvement with data feedback loops.
From idea to value creation
Automating complex and critical business tasks with AI is hard. Don´t worry, Skybert will lead the way. Just tell it about your task or give it example data, and it will start building a high performing agentic system tailored to your specific needs. The result is a custom built agentic pipeline ready to be optimized.
All this happens inside your own terminal and with your preferred model provider.
Continuous Improvement
Skybert follows a proven pattern for optimization by leveraging data feedback loops. The Skybert python package collects data from distributed production runs. This data is synced back to your local builder so it can optimize the agent system with real-world data. Humans can steer the process though built-in online or offline annotation.
Feedback loops for the real world
Skybert can automatically collect run data from production agents and sync them to the cloud. The Skybert Dashboard gives your team a friendly place to review and annotate real world data, and turns that feedback into datasets your local Skybert builder can sync and use for agent optimization.
Cloud is optional. You can stay fully local if you like.
Built on experience
The team behind Skybert has many years of experience building and optimizing agentic systems for complex and mission critical business tasks. Skybert runs on our battle tested and proven formula. In fact, Skybert has itself been optimized in mostly the same way as it will optimize your Agents!