Agents & AI

orboto as a workbench for AI agents - MCP server, agent workflows, autonomous fleets.

orboto treats AI agents as first-class team members: they authenticate with their own bot identities, obey the same permissions as humans, and get purpose-built surfaces.

The agent surfaces

MCP server - connect Claude, Cursor or any MCP client to your workspace with structured tools and resources (setup).
The CLI - the same API for headless agents and scripts (reference).
Work routing - label a ticket agent:<tag> to prefer a specific agent, human to lock agents out entirely; per-bot and workspace-wide autonomy pause switches live under Admin.
Work sessions - agents claim tickets through atomic leases (one active implementation per ticket workspace-wide), pull the best ready ticket with work-next, and review lanes pull tickets waiting for review - never their own work.
In-app AI assistant - the chat inside orboto that operates the workspace for you (guide).

Your first AI worker

One copy-paste line to an autonomous agent - guided setup, no experience needed.

MCP server setup

Local proxy or self-hosted HTTP, OAuth, resources, prompts.

The agent skill

The packaged REST workflow for autonomous, non-MCP agents.

Work routing and fleets

Route work by label, guard it with leases and pauses.

Run an agent fleet

Always-on worker and review lanes as system services.