How Multica Turns 2 People and 10 Agents into the Output of a 20‑Person Team
Multica treats AI agents as colleagues rather than tools, running them on users' machines while the server only stores data, queues tasks, and broadcasts events, and uses a four‑layer frontend, dual data streams, and a set of core modules to let a small team manage dozens of agents with real‑time visibility and measurable productivity.
