sprix-sage-router MCP Server
wang2122/sprix-sage-router
Sprix AI at 屿智同行 — state-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
wang2122/sprix-sage-router is a Python A2A agent licensed under MIT. Sprix AI at 屿智同行 — state-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks. Topics: a2a, agent-orchestration, agent-routing, ai-agents, multi-agent-systems, python, task-scheduling, sprix-ai.
Ranked #186 out of 24850 indexed tools.
In the top 1% of all indexed tools.
Has 4,196 GitHub stars.
Ecosystem
Score Breakdown
4,196 stars → well-known project
Last commit 27d ago → recently updated
2/4 issues closed → decent issue management
8 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
<div align="center"> # Sprix SAGE Router ### Checkpoint-aware mid-execution rerouting for open A2A networks **An open-source research output of [Sprix AI](#about-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](#quick-start) · [Algorithm](ALGORITHM.md) · [Related work](RELATED_WORK.md) · [A2A integration](docs/INTEGRATION.md) · [Operations](docs/OPERATIONS.md) · [Benchmark](#benchmark) · [Changelog](CHANGELOG.md) · [Contributing](CONTRIBUTING.md) </div> --- ## Why SAGE? 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 oneRead full README on GitHub →
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