Consume AI coding tools with confidence
docker run --name codegate -d -p 8989:8989 -p 9090:9090 -p 8990:8990 --mount type=volume,src=codegate_volume,dst=/app/codegate_volume --restart unless-stopped ghcr.io/stacklok/codegate:latest
CodeGate emboldens developers to use AI tools with confidence by providing blanket security and integrated controls across many LLMs and coding assistants.
CodeGate is a guardian angel that sits between your AI assistants and LLMs, always shielding your privacy and supercharging your productivity.
We built CodeGate to be:
Local
CodeGate is local, never passing your secrets to a service or to the cloud. Your secrets are safest when they stay on your desktop.
Open
CodeGate is open source because solving for privacy requires transparency. You can see how CodeGate works and contribute to its evolution.
Quiet
CodeGate is largely invisible—it works in the background to keep you safe and only alerts you to secret leakage and security risks.
Here’s how CodeGate works:
CodeGate is a gateway that sits between your AI coding assistant and LLM. From this position, CodeGate can protect your privacy and code; but more importantly, it can create value for the developer that wants to use many assistants and many models to reduce costs, increase speed and improve results.
The questions we hope you’re asking…
Loose lips sink software ships. Take control right now with a single container:
docker run --name codegate -d -p 8989:8989 -p 9090:9090 -p 8990:8990 --mount type=volume,src=codegate_volume,dst=/app/codegate_volume --restart unless-stopped ghcr.io/stacklok/codegate:latest
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