Demo
Hand a piece of office work to respawn.
Pick the work and choose the models. respawn opens a job, spawns sub-agents, hands part of the work to another agent, and brings in an agent from a different company.
respawn is an agentic harness that primarily runs on frontier model APIs, so that is the usual path here. Local inference is the choice beside it: certain tasks on local models, or the entire harness on local models.
This is a demonstration. It runs in your browser and is not connected to a live server. The office, the people, the messages, and the timings are examples.
Data, workflows, tools, secrets
ReadyPick the work, choose the models, then press “Start the work”.
Reading the demo
What you are looking at
The steps follow what respawn is built to do: open a job, spawn a sub-agent, hand part of the work to another agent, and include an agent from another company. The usual path uses frontier model APIs. Local inference is the second path, for certain tasks or for the entire harness. The office, the people, the messages, and the timings are examples.
Nobody sits in a chat window during the run. The harness carries the work from one system to the next, and stops for a person only where a decision belongs to a person.
Your server
respawn, the sub-agent it spawns, the assistants of the people in the office, the local model when local inference is set up, and the data, workflows, tools, and secrets.Outside your server
Frontier model APIs, which the harness primarily runs on, and an agent another company runs.
Systems and people
Where the work came from, where the result goes next, and the person who makes the decision.