Connecting specialized AI agents across devices for collaborative tasks

PPAI addresses the challenge of connecting diverse personalized LLM agents deployed across edge devices so they can collaborate on tasks beyond any single agent's expertise. The system uses a prototype-based scoring mechanism to match queries to suitable agents in dynamic networks where devices join and leave, and employs a Bayesian game framework to balance local performance with global efficiency when remote agent loads shift rapidly. A prototype implementation shows the approach handles a broader range of tasks than single-agent baselines while maintaining load balance, with measurable gains in accuracy and latency across multiple benchmarks.