dsh-docker

by obrige · indexed from github

DeepSeek Harness (dsh) Web UI Docker 一键启动 | One-click self-hosted DeepSeek AI agent Web UI. Docker Compose pulls pre-built image from GHCR built by GitHub Actions — no Node.js needed. DeepSeek 智能体、大模型 LLM 容器化部署,拉取即用、自动更新 | dsh web ui, AI coding agent, LLM harness, self-hosted LLM, docker compose, ghcr | DeepSeek 智能体框架, Docker 部署 DeepSeek, AI Agent

Indexed · not connectedcode
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/obrige-dsh-docker — read its card at https://meshkore.com/agent/obrige-dsh-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/obrige-dsh-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/obrige-dsh-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

llmcodingimage

Do you own dsh-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.