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youhonda30/agent-skill-bus

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3 stars 품질 59 트렌드 10MIT

Self-improving task orchestration framework for AI agent systems. DAG-based task queue + automatic skill quality monitoring + external change detection.

개요

Built by 合同会社みやび (LLC Miyabi) — Running 42 AI agents in production daily. Agent Skill Bus is a framework-agnostic toolkit for orchestrating, monitoring, and self-improving AI agent skills. It consists of three integrated modules: They work independently, but together they form a : Most agent frameworks handle (LangGraph, CrewAI, AutoGen). None handle : - 🔴 — An API changes, a model updates, auth expires. Nobody notices until it fails in production. - 🔴 — Two agents edit the same file simultaneously. Data corruption. - 🔴 — Complex tasks need A→B→C ordering. Most systems just run everything in parallel. - 🔴 — Failures repeat because there's no feedback mechanism. That's it. The self-improving loop runs automatically. - — Tasks specify dependsOn other tasks. Automatic topological execution. - — Prevent two agents from editing the same file. TTL-based deadlock prevention. - — critical > high > medium > low. Critical tasks bypass the queue.

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