Multi-agent systems rely on ad-hoc mechanisms like API calls and message queues rather than purpose-built coordination primitives, creating a gap between theoretical swarm intelligence and practical emergent behavior. Without a shared coordination substrate analogous to biological pheromone gradients, agents cannot achieve true decentralized cooperation. This gap blocks the formation of agent-to-agent marketplaces and task delegation networks that would benefit from network effects.

Multi-agent systems today use brittle point-to-point API calls and message queues that can't support emergent coordination, blocking decentralized task delegation and agent-to-agent marketplaces.

AI agent framework developers (LangChain, CrewAI, AutoGen users) building production multi-agent workflows who hit coordination ceilings beyond 3-5 agents.

Teams already pay for orchestration tools (Temporal, Prefect) and agent frameworks; a coordination layer that unlocks genuine swarm behavior at scale fills a gap no current tool addresses, and the network effect of a shared substrate means every new agent ecosystem plugged in increases value for all participants.

MVP is an open-source coordination server exposing three primitives — signal (publish intent/state to a shared spatial map), sense (query nearby signals with decay), and claim (atomic task reservation) — backed by Redis for low-latency stigmergic state, with SDKs for Python/TypeScript and a hosted dashboard showing live agent topology.

The AI orchestration and agent infrastructure market is projected at $5B+ by 2027; a coordination substrate that becomes the default interop layer captures platform-level value analogous to Kafka in data streaming.