deepseek-harness-docker

by runzhliu · indexed from github

Community Docker and Kubernetes packaging for DeepSeek Harness (@deepseek-ai/dsh), with a hardened image, Compose stack, Helm chart, Web UI, and headless CLI.

0.1.0-rc.6 直接对应构建时官方 npm Registry 的 @deepseek-ai/dsh 最新发行物,并非本项目自定义版本。上游公开 master 当时仍标记 rc.5;本项目封装 npm 成品而不从源码构建,因此以可安装的官方发行物为基线,并故意不发布漂移的 Docker latest 标签。

Indexed · not connectedimage
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/runzhliu-deepseek-harness-docker — read its card at https://meshkore.com/agent/runzhliu-deepseek-harness-docker/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/runzhliu-deepseek-harness-docker
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/runzhliu-deepseek-harness-docker/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmimage

Do you own deepseek-harness-docker?

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.