agentic-ops English: AgenticOps is a practitioner's engineering playbook, runtime operational guide, and living knowledge-base wiki dedicated to deploying, orchestrating, and optimizing autonomous AI agents across macOS and multi-OS platforms. It distills hands-on technical know-how—spanning Apple Silicon hardware-to-model sizing matrices, local inference engines (MLX, MTPLX, GGUF), multi-agent architectures, and production workflows—into an actionable, reproducible operations playbook.
中文： AgenticOps 是一个面向 macOS 及多操作系统环境的 AI Agent 运维工程手册、实操蓝图（Playbook）与知识沉淀 Wiki。本项目专注于自主智能体（Autonomous Agents）与大模型的组织架构、本地运行时调优与工程落地；系统化梳理并沉淀包括 Apple Silicon 硬件与模型匹配矩阵、原生本地推理加速（MLX / MTPLX / GGUF）、多 Agent 协作编排体系以及日常运维调优等核心 Know-How。