A local privacy firewall for AI agents.

AI agents read for you: your code and its `.env`, databases, logs, mailboxes, the web. Coding agents such as Claude Code and Codex do it at your request. Autonomous agents such as Hermes Agent, OpenClaw, Goose and OpenHands do it on their own, for hours, with no one reading each step. Everything they read is sent to a model in the cloud.

Latet stands between the agent and the model. It masks secrets and personal data before a request leaves your machine and restores them locally in the answer, so the agent keeps working normally and the provider never sees the real values.

**The best models for your sensitive work too.** Without it, work on customer data, health records or credentials stays away from cloud models, or goes to a weaker local one. With it, the cloud model gets the work, not the values.

**At the office too.** When your company reaches Claude or GPT through its own gateway, Amazon Bedrock, Google Vertex, Microsoft Foundry or Azure OpenAI, Latet reads that route from the agent's settings and goes in front of it: [Company endpoints](https://docs.latet.ai/agents/company-endpoints/).

**See it at work first.** Once it is [installed](#install), `latet tutorial` opens a sandbox in your browser: a pretend agent sends requests full of invented secrets and personal data through the real Latet, and chapter by chapter the dashboard shows what Latet did with each value. Nothing leaves your computer, and none of your settings change: [Tutorial](https://docs.latet.ai/getting-started/tutorial/).

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