AI agents that actually
carry tasks out
An agent plans a task, carries it out with tools and checks the result at the end. For risky steps it asks first – and all of it happens on your own machine.
From 30 € · one-time payment, no subscription · for Windows, Linux and macOS
The essentials
Plan, act, verify
The sequence is fixed: analyse, plan, execute, verify, learn.
Confirmation for risky steps
Deleting or overwriting asks first instead of just acting.
Real tools
Files, web (via allow-list) and system; the agent can also run Python code.
On a schedule
Recurring tasks run manually, on an interval, daily or weekly.
What people ask about this
Does the agent just do whatever it wants?
No. There are autonomy levels, and risky steps such as deleting or overwriting go through a confirmation gate – the agent asks before acting. For trusted routines you can deliberately switch confirmation off.
What can it actually do?
It works with files, can research on the web (via an allow-list), handle system tasks and run Python code to calculate, reshape data or test code. It also uses installed MCP tools automatically.
What happens with long tasks?
Agent tasks get a large context window so the agent does not forget its own steps midway. There is also protection against pointless repetition and against overwriting good files with shorter content.
Can I see what is happening?
Yes. Running agents appear as characters in a pixel world, with a speech bubble showing the current step. Each job also keeps a history with time, status and a short result per step.
Qwirbel can do this too
All capabilities live in the same application – one purchase, one key.