THE KILTER CLI

Kilter CLI

Production-grade CLI for agentic platforms

Modern agentic applications need 10+ services — workflows, event streams, auth, observability, vector search — but almost nobody has sufficient experience for this. Developers pick what they know, not what they need. And so we only build toy apps or dated SaaS apps via Lovable and Vercel. Kilter fixes that. All of Kubernetes, available agentically, ready to deploy into safe, secure, REAL infrastructure.

kilter — zsh
$ kilter add temporal redpanda ory
Added 3 services (+ 2 dependencies)
$ kilter up
Cluster ready — 12 pods running

How it works

1

Detect

Auto-detect your app's language, framework, and imports.

2

Compose

Resolve service dependencies and wire configurations.

3

Orchestrate

Hot-reload, logs, health checks — all via one CLI.

Why not just…

How Kilter compares to the tools you already know.

FeatureKilterDocker ComposeTiltVercel / Railway / RenderSkaffold
Production Kubernetes
Pre-composed platform services
Opinion engine (auto-wiring)
AI-native CLI
Enterprise target (k8s)
Local dev parity
37+ curated services
2 min to full stack

AI-native by design

The CLI is an agent interface. Every command returns low-token structured text that AI agents can parse, reason about, and act on.

Agent discovery

Claude Code discovers Kilter capabilities through the CLI surface.kilter catalog lists available services.kilter doctor validates compositions.

Stack composition

Agents compose stacks by running kilter add, scaffold code with kilter run, and validate with kilter doctor.

Resource efficiency

A full Kilter platform — 17 pods with auth, workflows, events, tracing, and storage — runs in 3.2 GB. Supabase alone consumes 2–4 GB for just a database + auth layer.

3.2 GB
Kilter — 17 pods
Auth, workflows, events, tracing, storage, search
2–4 GB
Supabase — 12 containers
Database + auth only

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