#9696th of 142 in Agent frameworks and SDKs

sprix-sage-router

Python router that picks continue, collaborate or hand off for in-flight A2A tasks

Stars
3.6k
License
MIT
Last commit
Aug 2026
Last release
Aug 2026
Language
Python
Stars, last 12 weeks+3,203
19 Aug 2026: 359 stars26 Aug 2026: 1,623 stars2 Sept 2026: 2,238 stars9 Sept 2026: 2,896 stars16 Sept 2026: 2,938 stars23 Sept 2026: 3,492 stars30 Sept 2026: 3,559 stars7 Oct 2026: 3,560 stars14 Oct 2026: 3,561 stars21 Oct 2026: 3,561 stars28 Oct 2026: 3,561 stars4 Nov 2026: 3,562 stars11 Nov 2026: 3,562 stars

359 on 19 Aug 20263,562 on 11 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

SAGE is a Python reference implementation of a routing layer between A2A agent discovery and task execution. Given a partially completed task DAG, it scores three routes (SELF, COLLABORATE, HANDOFF) under budget and deadline limits, using per-requirement trust and artifact reuse, and returns an auditable decision. It is a research preview, and its benchmarks use synthetic evaluators written with the project.

Who it is for: Researchers and engineers building multi-agent A2A task routing

Strengths

  • No runtime dependencies; Python 3.10+ and `python demo.py` to try it
  • Decision traces list excluded agents and alternatives, so routing choices are auditable
  • Learned trust state can be exported as versioned JSON snapshots
  • Deterministic seeded benchmarks with JSON output; README states their synthetic limits

Weaknesses

  • Does not send tasks, authenticate endpoints or verify signatures; client handles A2A transport
  • Benchmarks use synthetic evaluators only; no real A2A endpoint evaluation yet
  • Real A2A adapters and signed Agent Card ingestion are unchecked on the roadmap
  • Labelled early-stage research preview with no production SLA

What it needs

  • no GPU

What changed

From the release notes. No flag means the note does not say so, not that the upgrade is safe.

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