Mission Control
Agent work. Your decisions.
A local dashboard connects work proposals, manual task assignment and their results.
A proposal does not start the work.
Mission Control gathers project state from the knowledge base. The operator sees tasks and proposals before assigning work to an agent.
Context first. Then a decision.
The operator decides.
From proposal to result. Each step has its place.
Proposal
Check the task and its project context.
Decision
Review the scope. Choose what needs action.
Assignment
Manually start work with the selected agent.
Result
Check the output and the record of the work.
See where the work status comes from.
The dashboard organizes information. The knowledge base remains the reference for projects and tasks.

Look inside the dashboard.
Open the example and explore the layout. The demo does not connect to the private knowledge base or to agents.
The demo is available in Polish.
Aurora AI: a local adaptation of Mission Control by MeisnerDan. The application is based on the AGPL-3.0 project.