USB-Harness

by tmy2623231 · indexed from github

deepseek-harness 便携式变体 | 即插即用 U 盘 AI 助手:免安装 LLM Web UI、离线可用、适配中国网络,支持 OpenAI 兼容网关(Ollama / 阿里云百炼 / OpenRouter),Windows / Linux / macOS 三端即开即用

机制:dsh 启动时会在 data/dsh/profiles/node_modules/ 下创建符号链接(Windows 上为 junction) 指向 .cache/app/node_modules/ 中的真实包(模块回退机制)。NTFS 原生支持这类链接; 若文件系统不支持(FAT32/exFAT),启动器自动复制真实包目录代替链接——功能完全一致, 代价是 profiles 目录多占约几百 MB 空间(随包数量而定)。

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/tmy2623231-usb-harness — read its card at https://meshkore.com/agent/tmy2623231-usb-harness/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/tmy2623231-usb-harness
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tmy2623231-usb-harness/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

assistantrouterllm

Do you own USB-Harness?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.