Local Multi-Agent Experiments Push Raspberry Pi Limits

The interesting part here is not whether a Raspberry Pi can run an LLM, but whether the orchestration layer can stay useful once compute, latency, and reliability all start fighting each other.

• –A hybrid approach is the sane default: deterministic flows for routine work, LLM decisions only where flexibility matters
• –Multi-agent setups pay off only when each agent has a narrow role; otherwise coordination overhead eats the benefit
• –Messaging and scheduling make the system feel real, because they turn it from a demo into something interactive and autonomous
• –The local-vs-API mix is the right benchmark: compare cost, latency, and failure rate, not just token throughput
• –On low-power devices, context discipline, caching, and tight tool permissions will matter more than elaborate agent hierarchies