CohunoAI orchestration
About Cohuno

A clearer way to build agent workflows.

Cohuno is a private visual workspace for turning repeatable processes into coordinated AI-agent systems. The goal is simple: make every role, connection, tool, approval, and run easier to see and control.

Workspace readyContext · control · visibility
Why Cohuno

Agent systems should be designed, not guessed.

A useful workflow is more than a prompt. It combines explicit responsibilities, connected capabilities, trusted context, human decisions, and a record of what ran.

01 · Compose

Visual by default

Arrange agents and tasks, connect their handoffs, and keep the system legible as the workflow grows.

02 · Ground

Context with purpose

Attach tools and knowledge to the roles that need them instead of spreading access across an entire workflow.

03 · Observe

Runs you can follow

Keep events, handoffs, approvals, outputs, and usage together so an operator can understand what happened.

Operating principle

Human control belongs inside the workflow.

Cohuno is designed around visible responsibility and explicit checkpoints. Consequential outputs still need the review appropriate to their context.

  • Keep authenticated workspaces and connected secrets controlled.
  • Place approval points where a person must make the decision.
  • Use run events and outputs to inspect behavior before expanding automation.
Portability

Your workflow should remain understandable outside the canvas.

The Studio organizes workflows as explicit agents, tasks, and connections, with portable exports available for supported workflows.

  • Keep workflow definitions readable and reviewable.
  • Make dependencies and handoffs visible in the graph.
  • Choose models and capabilities role by role.