Run a Self-Hosted Coding Agent Workspace with ZhikunCode
Use ZhikunCode to deploy a browser-based, self-hosted coding-agent workspace with CLI and web entry points, multi-agent collaboration, model provider configuration, persistent sessions, and sandbox controls.
npx skills add agentskillexchange/skills --skill run-self-hosted-coding-agent-workspace-zhikuncode
ZhikunCode is useful when an operator wants a team-accessible coding-agent workspace running on their own infrastructure. The repeatable workflow is to deploy the Docker stack, configure model provider credentials, mount or authorize project workspaces, open the web UI, and run coding tasks through its CLI or browser interface with multi-agent collaboration and sandbox controls.
What this skill actually does
Invoke this skill when a user needs a self-hosted browser/mobile workspace for long-running coding-agent tasks instead of using Codex, Claude Code, Cursor, or another coding tool separately on each developer machine. Keep the scope to deployment and operation of ZhikunCode for coding-agent workspaces; do not present it as a general AI platform or a replacement for every coding assistant.
Inputs and prerequisites: Docker 20.10+, Docker Compose V2, LLM provider/API credentials, configured workspace volume or allowed project roots.
Setup notes: Use the upstream Docker deployment: git clone https://github.com/zhikunqingtao/zhikuncode.git && cd zhikuncode, copy .env.example to .env, add API keys and workspace settings, then run docker compose up -d and open http://localhost:8080.
Source and verification boundary: use https://zhikunqingtao.github.io/zhikuncode/ as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.