TDHarness Coding — AI skill for Claude Code
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。
Alternatives in AI
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README
TDHarness-coding
[](https://github.com/398894496-arch/TDHarness-coding/actions/workflows/prove.yml) [](https://github.com/398894496-arch/TDHarness-coding/releases) [](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 |
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