📳Swarm Mode

When One Agent Isn’t Enough — They Team Up

Not every strategy can be handled by a single agent. Some tasks are too large, too distributed, or too time-sensitive. That’s where Swarm Mode comes in.

In Z4R0, agents can dynamically form temporary execution groups — “swarms” — that split up a task, run it in parallel, and reassemble the output into a single result. The swarm isn’t hardcoded. It’s formed on demand, based on the scope and structure of the strategy being executed.

Each agent within the swarm can:

• Take on a specific sub-task (e.g., scan a single chain or evaluate a token set)

• Coordinate execution timing with peers

• Share sensing results or risk conditions

• Aggregate final signals or confirm consensus on outcomes

The entire swarm remains fully on-chain, and the coordination logic is encoded into smart contracts. That means no off-chain messaging, no centralized task dispatcher, and no race conditions.