398894496-arch

TDHarness Coding — AI skill for Claude Code

AI community

Self-hosted AI workbench for a company LAN.

How to install TDHarness Coding

This entry records only its repository, not the path inside it, so there is no exact command to give. Open 398894496-arch/TDHarness-coding and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What TDHarness Coding does

Self-hosted AI workbench for a company LAN. One command on a Windows server sets up login, roster, model gateway, company disk and knowledge base; each employee's agent works on their own PC while model keys stay on the server. 一键安装的局域网 AI 工作台。

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README

TDHarness-coding

[![prove](https://github.com/398894496-arch/TDHarness-coding/actions/workflows/prove.yml/badge.svg?branch=main)](https://github.com/398894496-arch/TDHarness-coding/actions/workflows/prove.yml) [![release](https://img.shields.io/github/v/release/398894496-arch/TDHarness-coding?label=release)](https://github.com/398894496-arch/TDHarness-coding/releases) [![license](https://img.shields.io/badge/license-MIT-blue)](LICENSE)

**当前版本 / Version: 2026.10.12** · [更新说明 / Changelog](CHANGELOG.md) · [Security](SECURITY.md) · [Architecture](ARCHITECTURE.md)

**TDH (TDHarness) is a self-hosted AI workbench for a company LAN.** One Windows server holds the model keys and subscriptions, the company share, the roster and the knowledge base; employees run a desktop client (Windows or Mac) whose agent works on their own computer (files, commands, browser, desktop apps); its model calls and web search go only through that server. It is built on [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) (`dsh`), patched for a company setting. 中文:一台 Windows 服务器管模型钥匙、公司盘、花名册和知识库;员工电脑装桌面客户端,AI 在员工自己的电脑上干活,模型调用和联网搜索只经过这台服务器。

Server One Windows 10/11 or Windows Server PC; one command installs everything; no Docker, no cloud account
Clients Windows and macOS (Apple silicon and Intel), installed from the server's download page; signed, delta updates
Models OpenAI, Anthropic, DeepSeek, xAI / Grok subscription, Kimi, GLM, any OpenAI-compatible endpoint; keys never leave the server
People Roster with departments and roles (employee, director, admin), per-person tokens, deactivate takes everything away on the next request
Work Task cards with hand-in and review, a shared company disk, per-person workspaces that follow the person between computers
Knowledge Nightly distillation of everyone's AI work plus company documents (Office, WPS, PDF, scans via OCR), ranked search scoped by person and de