TLDR Tech / Data
Scaling to 120+ AI Agents Without Losing Control
Switch to a multi-agent system with a conductor-specialists pattern when scaling beyond 15 tools or 3 conflicting domains. Multi-agent design maximizes per-task quality but adds orchestration complexity, hybrid retrieval outperforms single approaches, and tightly-scoped tool profiles reduce token waste. Example architecture: VoltAgent for orchestration, SurrealDB for unified vector/graph/relational storage, hybrid retrieval (0.6 vector, 0.2 graph, 0.2 keyword), and cost control via dynamic task routing (with Haiku for classification).
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