Run AI agents in production without vendor lock-in or per-token costs
Kubernetes-native platform for building, running, and operating AI agents. Sovereign AI compute on commodity hardware.
Platform Capabilities
Built for developers who need reliable, production-grade AI agents
Kubernetes-Native
Agents, Skills, Tasks, Processes, and Runs are all Kubernetes Custom Resource Definitions (CRDs). GitOps-friendly workflow with declarative definitions.
Sovereign AI Compute
Runs local open-weights LLMs on commodity hardware (AMD Ryzen AI). No per-token API costs. No vendor lock-in.
Skills System
Process-adherence playbooks that constrain agent output to quality gates. Agents follow defined methodologies instead of free-form generation.
Durable Execution
Powered by Temporal. Long-running agent tasks survive restarts, network failures, and cluster disruptions.
Hybrid Execution
Route workloads across CPU, GPU, and NPU to maximize hardware utilization and minimize cost.
Open Source
MIT licensed core (Kaigents engine, KaiManager governance, KaiCatalog registry). Free to self-host with commercial support available.
Architecture Overview
Agents are first-class Kubernetes resources. If you know how to operate a Kubernetes cluster, you already know how to operate Kaigents.
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