This is quite literally what we've built @ Gobii, but it's prod ready and scalable.
The idea is you spin up a team of agents, they're always on, they can talk to one another, and you and your team can interact with them via email, sms, slack, discord, etc.
Interesting approach, but I mean more in the sense of a multi-agent sandbox than workflow automation. Your project feels like wrapping a bunch of LLMs into "agents" with fixed cadences, it is a neat product idea, even if it mostly ends up orchestrating API calls and cron jobs.
The thing I’m curious about is the emergent behavior, letting multiple LLMs interact freely in a simulated organization to see how coordination, bottlenecks, and miscommunication naturally arise.
Agreed, the emergent behavior is the most interesting and valuable part. We don't want bad emergent behavior (agents going rogue) but we do want the good kind (solving problems in unexpected ways.)
And they simulate a externalized team where the enterprize that pays the team doesn't knows that it's just AI and just thinks that these chinese/indian/african people of this external team are really bad at what they are doing.
The idea is you spin up a team of agents, they're always on, they can talk to one another, and you and your team can interact with them via email, sms, slack, discord, etc.
Disclaimer: founder