AI sub-agents work in background while you chat, then report results
“So what that sub agent does is it works in the background so you could still chat with it on Slack, and it doesn't interfere with anything.”
more than two or three tool calls to spawn a sub agent. So what that sub agent does is it works in the background so you could still chat with it on Slack, and it doesn't interfere with anything. And while that sub agent is going, it's working. It's doing all that, like, hard work that takes fifteen, twenty minutes, and then reports back to the main agent saying, hey. Here's your results, and you just get the results. You don't have to wait for it to, like
Is that gonna be automated? This like, shouldn't it know to just
every request on a sub agent? Yeah. Some people don't really want it because, once again, you're using more tokens when you do create a sub agent a sub agent because, I mean, it has to recreate, like, the the memory the prompt and memory and stuff, so it was 20,000
About this clip
An OpenClaw contributor explains how AI sub-agents can handle complex, time-consuming tasks in the background while users continue chatting normally. The system spawns sub-agents for tasks requiring multiple tool calls, which work independently for 15-20 minutes before reporting results back to the main agent. However, this approach uses more tokens since each sub-agent needs to recreate memory and prompts.
Why this clip
This clip provides specific technical insights into how AI agent architectures can be optimized for user experience and resource management.
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