Stay in the loop.
Let agents close it.
Looply turns a prompt into an autonomous loop of research, action, verification and delivery. You set the outcome. The agent keeps moving until the work is actually done.
A live agent, not a moving sticker.
This agent has its own behavior loop. It walks between workstations, changes animation by task, thinks, works, verifies, reports status and accepts your commands.
One prompt. A whole working loop.
Looply is designed around autonomous progress. Agents don’t just answer — they keep state, choose the next action and move until the outcome is complete.
Persistent context
Every action feeds the next one. The agent keeps the goal, constraints and previous results inside the same working loop.
Action-first agents
Research, plan, execute, verify. The response is not the finish line — it is one step in a larger autonomous workflow.
Visible reasoning state
See what the agent is doing now, what it completed, what failed and what it is trying next — without babysitting every step.
From intent to done.
A simple four-stage loop keeps work moving forward and stops only when the objective is verified.
Read the outcome.
Looply turns your prompt into a goal with context, constraints and a definition of done.
Choose the path.
The agent decides which actions, tools or sub-tasks should happen next.
Move the work.
It executes, gathers new information and updates its internal state after every action.
Close the loop.
If the result is incomplete, the loop continues. If it passes, the agent delivers.
AI that stays in the loop until the job is done.
Follow Looply Agents as the project evolves from autonomous demos into a complete agent layer.