Hard budget caps, real-time spend attribution, and zero model-data egress - enforced before a request hits a model.
curl -fsSL https://github.com/getkimchi/kimchi/releases/latest/download/install.sh | bash
Every agent request passes through one enforcement layer for spending, data, deployment, and model routing.
Set caps by user, team, API key, or model. Spending stops at the limit.
Deploy in Kubernetes on AWS, GCP, Azure, or on-premises. Keep model data inside.
Prompts, code, and outputs are excluded from model training.
Set spending limits, track every dollar, and keep your code and data within your boundaries - all in one platform.
See exactly who, what, and where your AI spend is going. Per-developer, per-team, per-model, per-tag - in real time. Hard budget caps at every level: user, team, API key.
One governed AI coding platform, built around the way each team already works.
Platform engineering
Start serverless or deploy inside your VPC.
Developers
Use Kimchi from the coding tools your team already relies on. Security teams
Spending policy enforced before a request leaves your environment.
Security, compliance, and control aren't afterthoughts. Every feature ships enterprise-ready.
Install the CLI, run /ferment, and hand off to the agent. No lock-in, no credit card.