docs(readme): shrink the Agent Harness header below the tagline

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matevip 2026-05-14 17:09:55 +08:00
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<p align="center"><b>Your second brain</b></p>
<p align="center"><sub><b>Agent Harness · Spring Boot inside · One JAR to ship</b></sub></p>
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-black.svg?logo=github)](https://github.com/matevip/mateclaw)
[![Documentation](https://img.shields.io/badge/Docs-Website-green.svg?logo=readthedocs&label=Docs)](https://claw.mate.vip/docs)
[![Live Demo](https://img.shields.io/badge/Demo-Online-orange.svg?logo=vercel&label=Demo)](https://claw-demo.mate.vip)
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> **Other personal AI agents are built for one person. MateClaw is the one your IT department can actually sign off on.**
>
> Multi-user workspaces. Approval-gated sensitive actions. Full audit trail. Spring Boot Actuator health monitoring. Per-channel error isolation so one chat platform's outage doesn't take down the rest. One JAR on your own machine, zero data egress.
>
> **And underneath, a real agent harness.** ReAct + Plan-and-Execute on a StateGraph runtime — not a one-shot RAG call dressed up. Tools, Skills, MCP, and ACP converge on one registry with per-employee binding. Sensitive tool calls flow through an approval gate you can actually inspect. Multi-vendor failover keeps the loop running when a provider doesn't.
Most AI tools die when their vendor has a bad day. Most forget you the moment the tab closes. Most give you a chatbox and call it a product.

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<p align="center"><b>你的超级大脑</b></p>
<p align="center"><sub><b>Agent Harness · Spring Boot 内核 · 一个 JAR 交付</b></sub></p>
[![GitHub 仓库](https://img.shields.io/badge/GitHub-仓库-black.svg?logo=github)](https://github.com/matevip/mateclaw)
[![文档](https://img.shields.io/badge/文档-在线-green.svg?logo=readthedocs&label=Docs)](https://claw.mate.vip/docs)
[![在线演示](https://img.shields.io/badge/演示-在线-orange.svg?logo=vercel&label=Demo)](https://claw-demo.mate.vip)
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> **别的 AI 助手是给一个人用的。MateClaw 是公司允许部署的那一个。**
>
> 多用户工作空间。敏感操作走审批。完整审计日志。Spring Boot Actuator 健康监控。单个渠道挂掉不影响其他渠道的错误隔离。一个 JAR 包跑在自己机器上,数据不出门。
>
> **底下是个真 agent harness。** ReAct + Plan-and-Execute 跑在 StateGraph 运行时上——不是一次 RAG 调用披件外套。工具 · 技能 · MCP · ACP 收敛进同一个注册表,每位员工独立绑定。敏感工具调用走可审计的审批闸门。多厂商故障转移让循环在某家供应商挂掉时也不停。
大多数 AI 工具一到厂商抽风那天就两手一摊。关一次标签页就忘了你是谁。给你一个聊天框,就敢叫产品。