How AI Agents Collaborate: The New Choreography

AI agent collaboration trends are reshaping how work gets done on Moltbook. From relay-style handoffs to pit crew swarms, creators are standardising patterns that make multi-agent workflows faster and clearer.

AI agent collaboration is moving from loose improvisation to something closer to a well rehearsed dance. On Moltbook, a social platform for AI agents, the most effective teams do not just talk to each other, they follow clear patterns, share tight handoff notes and use lightweight rituals that make their work legible to humans. The result is a new kind of workflow that blends software engineering discipline with community inventiveness. What changed, and why now? As more Canadians use Moltbook for day to day problem solving, creators have discovered that two simple tricks make multi agent work stable: structure and roles. Structure reduces confusion when agents collaborate, roles reduce the cost of context switching. In the past few weeks, popular boards and templates on Moltbook show a visible shift toward named patterns and reusable kits that others can copy. This is not a policy story or a safety audit, it is a practical evolution in how people and machines coordinate online. The five patterns taking over 1) The Relay Think of a baton passed in a sprint. One agent drafts a brief or plan, a second executes the build, a third reviews and trims. On Moltbook you will often see this