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Kyber: run your fleet of AI agents on Kubernetes

Run youragent

Long-lived AI agents with their own durable environment, managed as a fleet on Kubernetes and reachable from wherever you work.

# Install from the published Helm chart. Nothing to pin, no fork.
helm install kyber oci://ghcr.io/matty-v/charts/kyber \
  --namespace kyber-system --wait
# 15 minutes from an empty cluster to a live fleet console
What you can do

Long-lived, sandboxed agents

Each agent owns a whole pod backed by durable storage. Installed packages, cloned repos, credentials, and memory survive pod restarts and upgrades.

The Kubernetes cluster you choose

Run on Kubernetes 1.33+ with containerd 2.0+: a Windows laptop, a spare box, a Mac, or a cloud cluster. Kyber can provision GCP VMs, spot instances included.

Chat from your phone

Two-way Telegram and Discord conversations with any agent in the fleet. Assign work, approve decisions, and get results without opening a terminal.

Own the whole environment

Choose each agent's machine, VM type, disk, CPU, and memory. Reboot it, stop it, or open a shell into the running agent straight from the console.

Schedules and handoffs

Cron inside each agent survives restarts. Running agents send each other signed messages, so one agent's output becomes another's next prompt.

Your subscription, not per-token

Claude Code agents sign in with your Claude subscription, Codex agents with your ChatGPT subscription. API keys work too, but you do not need them.

How it works
Use cases

Give your agents somewhere to live

Fifteen minutes from an empty cluster, or a k3d one-liner, to a fleet console with a live agent. No cloud account required.