feat: MCP server at /mcp — AI agents read server state from the panel ...

Streamable HTTP, stateless, JSON responses (proxy-friendly). Tools:
panel_overview (fleet summary), server_details (full current state),
server_history (downsampled metrics history). ASGI endpoint registered
directly on FastAPI routes (Mount misses exact /mcp) and the MCP session
manager runs in the app lifespan. mcp SDK pinned >=1.10,<2. README:
tool table, claude mcp add example, token caveat.

Co-Authored-By: Claude Code <noreply@anthropic.com>

feat: deploy.sh — one-command agent rollout over SSH (+ README guide) ...

deploy.sh per host: create panel server entry (reuse existing,
--recreate for a fresh key) -> scp agent files -> install.sh via sudo ->
wait for first packet. Non-interactive and idempotent, designed for
AI-agent-driven deploys; README includes a ready-made prompt.

Co-Authored-By: Claude Code <noreply@anthropic.com>

feat: English UI, no-login API, logo/favicon, layout fixes ...

- UI fully translated to English (dashboard, server page, toasts, formatters)
- login removed: GHARD_ADMIN_TOKEN is optional now (unset = open API);
  agent key auth untouched; README/.env.example updated
- SVG logo + favicon (monitor with pulse, kit-style)
- reactivity: dashboard poll 5s, server 5s, history 10s
- layout: metric cards full-row flex, metric value nowrap,
  info/note 50/50 grid, topbar logo 48x48, server card max-width 420px,
  uptime on its own line, delete confirmed via GnConfirmDialog
- docker: ca-certificates for npm git dependency

Co-Authored-By: Claude Code <noreply@anthropic.com>

feat: stage 3 — Vue web UI (dashboard, server page, charts) + docker build ...

Frontend (Vue 3 + Vite, gnexus-ui-kit, chart.js):
- login by admin token (localStorage, Bearer)
- dashboard: server cards with status, CPU/RAM/disk progress, net MB/s, note
- server page: metric cards, info (hostname/os/kernel/ips), editable note,
  history charts (1ч/6ч/24ч/7д), tabs: overview/disks/net/processes/docker
- create-server flow with one-time key display + install command

Backend: serve built SPA from panel/backend/static (assets mount + fallback)

Docker: multi-stage build (node:22 → npm ci/build → static into python image),
build context moved to repo root, .dockerignore added

Co-Authored-By: Claude Code <noreply@anthropic.com>

docs: full deployment guide in README (panel, agent, proxy, update, backup) ...

Co-Authored-By: Claude Code <noreply@anthropic.com>

feat: stage 2 — hard-monitor agent with install.sh and systemd unit ...

- hard_monitor.py: stateless collector (psutil + requests) — identity
  (hostname/os/kernel/ips with virtual interfaces filtered), cpu/load,
  memory, disks, net counters, top processes by cpu, docker containers,
  temps into extra; --once and --dry-run modes, .env parser
- install.sh: root install into /opt/hard-monitor (venv, .env 600,
  systemd unit enable --now, idempotent)
- tested end-to-end: real agent -> panel ingest -> dashboard summary
  with net rates computed from counter deltas

Co-Authored-By: Claude Code <noreply@anthropic.com>

feat: stage 1 — panel skeleton (FastAPI + SQLite) and ingest API ...

- FastAPI backend: config (pydantic-settings, GHARD_* env), aiosqlite + WAL
- SQLite schema: servers, metrics, events
- POST /api/v1/ingest: auth by X-Server-Key (sha256 hash), net rates in MB/s
  computed on panel from raw counter deltas, server card upsert
- Servers API: create (key shown once), list with dashboard summary,
  detail, PATCH name/note, delete, metrics history
- Dockerfile + docker-compose with persistent volume

Co-Authored-By: Claude Code <noreply@anthropic.com>