Build, test and deploy AI agents with less engineering effort. AgentKubeApp helps your team so you move from idea to production faster.
Teams repeatedly spend time configuring infrastructure, connecting systems, implementing agent behavior, testing and preparing deployments. Much of that foundation can be reused.
AgentKubeApp provides a common foundation for model access, connections, knowledge, skills, testing and deployment. New agents build on what is already in place instead of recreating everything.
Enter your team’s own numbers. This is an illustrative calculator: savings are hypothetical, not measured AgentKubeApp results.
Describe the agent you need. The builder helps define its steps and tools, then developers review the Markdown, test integrations and manage changes through GitHub.
Build in chat or edit the file directly. Changes sync with GitHub, so every change is a diff your team reviews.
Deploy hosted or in your own environment, with your own model keys and approved integrations. Built to SOC 2 standards.
ISVs and VARs reuse agent definitions and deployment patterns across customers, while each client’s organization, data and model keys stay separate.
Free live sessions with our team. Every track is hands-on and ends with something running in your own workspace.
Named systems connect through MCP servers or tool files that call their APIs.