You don't need a multi-agent setup

Seeing a lot of people default to multi-agent because it sounds more advanced. In practice it's a reliability/parallelism tradeoff, not a capability upgrade. Quick breakdown of who actually needs what: Use a single agent if: Your workflow is a sequence of dependent steps (research → decide → next step) You're doing simple to medium complexity tasks Speed and simplicity matter more than scale You don't have the infra to handle shared memory/orchestration cleanly Use multi-agent if: Tasks are naturally parallelizable (one agent researches while another audits while another codes) Different subtasks need genuinely different "mental models" (a broad researcher vs. a narrow synthesizer struggle to context-switch inside one agent) You have an orchestrator role to delegate, monitor, and spin up agents as needed You've actually got shared memory/sync working without it, multi-agent just adds coordination overhead for nothing Also multi agent need something like gitagent (opensource) to work at their best Rule of thumb: single strong agent for multi-step, sequential work. Multi-agent for parallel, separable work. If your tasks aren't naturally separable, more agents just means more debugging surface, not more capability. Sources: Google Research — > Towards a Science of Scaling Agent Systems: When and Why Agent Systems Work