Agent Swarm - Legacy or Hidden Gem of Agent Design

In this episode of The Build, Cameron Rohn and Tom Spencer dig into agent architectures and practical tooling for building collaborative AI systems. They begin by unpacking the trade-offs of swarm architectures, contrasting Fully Connected Topology with Hierarchical Subagent Design and the Supervisor Pattern Model while referencing concrete diagnostics from Land Graph Visualization and Lang Agent Framework demos. The conversation then shifts to developer workflows and tools: Langsmith for orchestration, Vercel for deployment, Supabase for state and persistence, and MCP tools for observability and debugging. They explore memory systems, API integration patterns, and the thorny issue of inter-agent communication—echoing a preview exchange where agents in a swarm must discover when one agent needs another’s capabilities. Throughout, they alternate technical architecture decisions with building-in-public strategies, highlighting open source iterations, community feedback loops, and metrics for productizing emergent collaborative intelligence and enterprise agent solutions. Practical entrepreneurship insights surface around monetization, enterprise onboarding, and aligning technical debt with customer value. The episode moves from low-level technical patterns to high-level go-to-market thinking, providing developers and founders with actionable patterns. The takeaway is forward-looking: prioritize modular, observable agent architectures and transparent public builds to accelerate learning and product-market fit.