wang2122/sprix-sage-router

[](https://github.com/wang2122/sprix-sage-router/actions/workflows/tests.yml) [](https://www.python.org/) [](LICENSE) [](#project-status) An open-source research output of Sprix AI at 屿智同行. Choose whether an in-flight task should continue, recruit collaborators, or hand off after accounting for completed DAG nodes, reusable artifacts, observed partial quality, remaining work, failures, budget, and deadline. Quick start · Algorithm · Related work · A2A integration · Operations · Benchmark · Changelog · Contributing Agent discovery tells a system which agents exist. It does not answer the harder runtime question: who should work with whom after execution has already begun? SAGE—State-Aware Graph Exchange—is the decision layer between A2A discovery and task execution. It evaluates three routes in one auditable objective: SAGE is designed to sit above the Agent2Agent (A2A) protocol. A2A provides Agent Cards, messages, tasks, artifacts, authentication, and transport. SAGE decides which feasible agent configuration should execute the task, in which mode, and why. Figure 1. SAGE filters candidates, compares all three routing…