How Azaris works

In one sentence

Connect your tools, tell it how you work once, then ask for things in the app already open on your phone, while an isolated machine, a credential vault, and a written trail run underneath.

Step 1: Connect your tools

Each connector is a click, and you choose what it can see. Start with the pair that carries most of your day, email and calendar, then add channels (Telegram, Slack, Discord) and the rest of your stack as the work calls for it. Disconnect any of them at any time; access is revoked, not hidden.

One thing you bring yourself: a model key (ChatGPT, OpenAI, or Claude). Your agent thinks with your key at your provider's prices. We don't resell tokens, so there's no markup and no meter.

Step 2: It learns how you work

There is no training run and your data is never used to train a model. The mechanism is simpler and more inspectable: instructions you write, files you hand it, and a memory it keeps between conversations. When it thinks it's learned something about you, the proposed memory lands in a review inbox. You keep what's right and delete what isn't.

Step 3: Ask in your channel

Message it in Telegram, Slack, or Discord, talk to it by voice, or use the web app. It's the same agent with the same memory everywhere. It shows the steps it takes, cites what it read, and anything that would leave the building (an email, a post, a reply) arrives as a draft waiting for your sign-off.

What runs underneath

  • Your own machine. Every customer's agent runs on a dedicated machine with its own persistent storage, created for you, destroyed with you.
  • Keys in a vault. Credentials live encrypted in a vault; the plaintext is injected only into your machine, at start.
  • A sandboxed browser. Web browsing happens on a separate isolated machine, away from your data, and you can watch it live.
  • A written trail. Every step is logged in plain language, so you can audit an afternoon or a month.

The longer version of this list, with the reasoning behind it, is on the security page, and the comparison with running an agent runtime yourself is in OpenClaw vs Hermes.

Ready to put Azaris to work?Set up in an afternoon, or have us build the whole thing.Get your agentWant it built for you?