Sprix SAGE Router is a routing decision layer for agent-to-agent networks that determines whether an in-flight task should continue with its current agent, recruit collaborators, or hand off to a specialist.
The tool addresses the runtime question of agent coordination after execution has begun. Traditional agent discovery identifies which agents exist, but SAGE operates at a deeper level by evaluating three routing modes—SELF, COLLABORATE, and HANDOFF—against a unified objective function. It accounts for completed work in the task DAG, reusable artifacts, observed partial quality, remaining effort, failures, budget constraints, and deadlines to decide which agent configuration should execute the task and in what mode. The router sits above the Agent2Agent protocol, using Agent Cards and task metadata to filter candidates, compare routing modes, search assignments and schedules jointly, and rank feasible plans.
The project is designed for teams building multi-agent systems that need runtime reconfiguration decisions grounded in execution state rather than static coalition assumptions. It suits scenarios where agents have complementary capabilities and where the cost of context transfer must be weighed against specialist advantage. The tool is deliberately narrow in scope, focusing on checkpoint-aware reconfiguration rather than claiming broad agent orchestration. It provides concrete features including permission-first filtering, bounded candidate search, workload-sensitive cost estimation, auditable decision alternatives, and state persistence across routing decisions.
Development activity shows sustained focus on the research problem with detailed documentation of the algorithm and integration patterns. The repository includes separate evaluation mechanisms that replay checkpoints to score artifact reuse and recovery latency without calling the routing equation itself, indicating attention to falsifiable claims. Engineering features are clearly separated from core algorithmic contributions, with replaceable implementations for search, belief tracking, and utility calculation. The project maintains explicit documentation of related work and integration requirements for A2A protocol adoption.
