Solutions · Use cases
Hanzo for AI agents
Define an agent once — model, instructions, tools and a budget — run it by name from anywhere, and read back every step it took.
Agents
An agent lives in the organization, not in a script. Call it from the API, the CLI, a workflow or chat; each run is recorded with its input, output, model and duration.
AgentsHanzo BotMCPAgents SDKHanzo AutoHanzo Computer
What it runs on
The products underneath, on one account, one key and one bill.
Agents
Define an agent once — model, instructions, tools and a budget — and run it by name.Hanzo Bot
A teammate with its own computer that signs in to your tools and reports back.MCP
A shell, a filesystem, a code index, git and HTTP for any MCP client.Agents SDK
A Python SDK for agents that hand work to each other behind a router.Hanzo Auto
Workflows fired by a webhook or a schedule, with runs that survive a restart.Hanzo Computer
An agent that drives any app by screenshot, mouse and keyboard.Security and compliance
Credentials narrowed to the job
Access is a grant at a path — organization, workspace, project — and a credential handed to an agent can be narrowed to exactly what it needs.An audit trail you can query
Every request is a row: the organization and user who acted, the address they came from, what they called and what the server answered. An agent’s run is recorded the same way.More use cases
Put it to work
Start in the builder today, or talk to us about your organization.