Building Reliable Multi-Agent Systems
Coordination, conflict resolution, and shared context are the defining challenges of multi-agent systems.
Single-agent systems are already hard to make reliable. Multi-agent systems introduce coordination problems on top of everything else. Agents may have conflicting goals, incomplete information, and different capabilities. They may communicate through channels that drop, delay, or distort messages.
Reliability in multi-agent systems requires shared context. Agents need a common ground: shared memory, shared goals, shared protocols. Without this, coordination devolves into ad-hoc message passing that is impossible to debug.
Conflict resolution is equally important. When two agents disagree, the system must have a mechanism for resolving the dispute. This could be hierarchical authority, voting, argumentation, or market-based allocation. Each approach has trade-offs in latency, fairness, and robustness.
Our work on Agent Guard and MemKit converges here. Authority and memory are prerequisites for reliable multi-agent coordination. We are building the infrastructure first, because the coordination algorithms will not matter if the substrate is broken.