LobeHub

LobeHub is a multi-agent coordination layer that handles the full lifecycle of an AI agent team. You describe a goal; LobeHub selects the appropriate agents and skills, distributes work across models, and runs tasks in parallel in the cloud. You stay out of the loop until an actual decision is required — at which point it reaches you through whatever messaging channel you already use: Slack, Discord, Telegram, or iMessage. There's no need to build custom orchestration infrastructure or babysit individual model calls. It's practical for teams automating research pipelines, content workflows, data processing, or any multi-step task that currently requires manual handoffs between tools. The core value is fewer context switches: you set the goal, agents execute, and you act only when it matters. Rather than positioning itself as a developer framework requiring prompt engineering expertise, LobeHub aims to be the operational layer that turns a goal statement into a coordinated agent execution without the user ever touching infrastructure.

Used by teams automating research, content, and data pipelines through multi-agent coordination that runs in parallel and only escalates decisions to humans.