Deployment layer for an internal agent platform: auth and permissions, ten in-house plugins, model gateway, session archiving, desktop client distribution — with install, backup and migration tooling.
dsh listens only on 127.0.0.1; caddy terminates HTTPS in front of it, so the agent’s remote code execution stays on the machine and is never exposed to the network. The installer runs front to back — preflight, engine pull, dependencies, preset validation, credential and start-script generation — and is idempotent, so it can be re-run safely.
A local ERPNext v16 stack plus a Python CLI that exposes the ERP to agents through the real Frappe REST API — JSON output, dry-run, role-scoped commands.
A local ERPNext v16 Docker stack (MariaDB, Redis, worker, scheduler) plus a Python CLI. The CLI lets agents drive the ERP through real Frappe HTTP APIs, with JSON output, dry-run support, generic DocType operations and role-scoped flow commands.
A Go CLI that orchestrates AI across an engineering workflow — 13 capabilities, and it syncs skills across four major AI tool directories.
Security scanning, quality checks, architecture review, AI-facing project documentation, daily reports, commit messages and API docs chained so a single pass covers them — and it syncs skills across AI tool directories following the SKILL.md convention.
A collection of 25+ agent skills: embedded platform conventions, Chinese legal research, PDF parsing, and planning / debugging / delivery-verification workflows.
Deployment baseline for an open-source agent engine, tracking upstream with a client fork.