Bounded task agents
Point each agent at the right project, folder, or isolated environment instead of handing it the whole machine.
Msty Go — Bounded AI agents
Give AI agents a clear job and boundary.
What it does
Msty Go is the new name for Msty Claw. It is an autonomous task runner built around explicit folders, isolated execution, reviewable work, and model choice. Mission Control can coordinate specialized agents while you stay in charge of the boundary.
Purpose-built for the work around it.
Clear capabilities, a defined role, and deployment choices you can evaluate for yourself or your team.
Reviewable execution
Run work locally for speed, or inside Docker or Podman when the job calls for tighter boundaries.
Mission Control
Break a larger task into coordinated helpers, watch approvals as they happen, and review results from one place.
Memory Bank
Keep the active task organized while it moves, then save decisions and preferences so good context survives between runs.
Playbooks
Turn a run that worked into a repeatable playbook instead of re-explaining the same task every time.
Tasks & shortcuts
Schedule recurring jobs and turn common instructions into quick slash commands.
Tools & context
Connect MCP servers and external tools, then scout the most relevant files before a run starts.
Mobile direction
Check progress, approve decisions, and direct work from Msty Go when you are away from the desktop.
At a glance
Msty Go
Desktop agentMobile companionLocal + cloud modelsSchedules and skills
Deployment
Runs close to the work, with folder-scoped access and optional local model execution.
Extend Go with the community catalog.
Official extensions to get you started, community creations to explore, or build your own without leaving Msty Go.
See where Msty Go fits.
Tell us what you want to protect, connect, or improve. We’ll help point you to the right starting place.
Plan an enterprise pilot