Ross ROSS = Recommend OSS · open-source software intelligence for agents

wang2122/sprix-sage-router

Sprix AI at 屿智同行 — state-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks. observed · 2026-08-28

github.com/wang2122/sprix-sage-router · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

66/100

  • Activity 99
  • Release rhythm 60
  • Longevity 1

Flags: prerelease_only young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 15
  • days_rel: 15
  • days_push: 7
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

2221 stars · 111 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Sprix SAGE Router is a Python decision layer for Agent2Agent (A2A) networks that routes tasks across three modes—SELF, COLLABORATE, and HANDOFF—using a single auditable utility function. It assigns task-DAG roles, schedules dependencies, and learns from execution evidence under permission, budget, and deadline constraints.

Use cases

  • decide whether an agent should continue a task alone, recruit collaborators, or hand it off
  • route tasks between agents in an A2A multi-agent network
  • schedule task DAG dependencies across a team of agents
  • replan mid-execution when an agent fails or progress stalls
  • score candidate agent teams by complementary requirement coverage
  • learn contextual trust per agent and requirement from execution evidence

When to choose

  • you run an A2A-based multi-agent system and need a routing/decision layer above discovery
  • you want SELF/COLLABORATE/HANDOFF decisions in one auditable objective
  • you need dependency-aware task scheduling and role assignment for agent teams

When to avoid

  • you need a full agent runtime or A2A transport implementation—SAGE only decides routing
  • you want a production-hardened orchestrator; it is labeled a research preview
  • your stack is not Python 3.10+

Facets

library · maturity active

agent-framework scheduling workflow-automation routing large-language-models microservices python cross-platform a2a-protocol multi-agent-systems agent-routing task-dag tri-mode-routing agent-orchestration ai-agents automation

1 source

Member repositories

RepositoryRoleHealth v2
wang2122/sprix-sage-routermain66

For agents

markdown · JSON · MCP: product_card(name="wang2122/sprix-sage-router")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem