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Quick Start

This page takes you from nothing installed to fans under automatic control, in five steps. Pankha Fan Control has two halves: a central server (dashboard + control logic, one per network) and lightweight agents (one per machine whose fans you want managed). You set everything up once, then manage it all from the dashboard.

Each step below links to a page with the full details - come back here if you go deep.

  • A machine to host the server, with Docker and Docker Compose installed.
  • At least one machine whose fans you want to control - it can be the same machine.
  • The machines need to reach each other over the network.

On your server machine, download the release configuration:

Terminal window
mkdir pankha && cd pankha
wget https://github.com/Anexgohan/pankha/releases/latest/download/compose.yml
wget https://github.com/Anexgohan/pankha/releases/latest/download/example.env -O .env

Then open .env in an editor - the top section is marked REQUIRED CONFIGURATION and needs your values before the first start:

  • PANKHA_HUB_IP: this server’s LAN IP or hostname (e.g. 192.168.1.100). Agents are pointed at this address, so the placeholder value will not work.
  • POSTGRES_USER / POSTGRES_PASSWORD: pick your own database credentials.
  • TIMEZONE (optional): uncomment and set it so dashboard times and logs match your clock.

Now start it:

Terminal window
docker compose pull && docker compose up -d

That’s the whole install - two containers (app + PostgreSQL). See Server Installation for the full configuration reference and custom ports.

Browse to http://<server-ip>:3143 - port 3143 is the default; if you set PANKHA_PORT in .env, use that instead. Since no agents are connected yet, the dashboard greets you with a shortcut card pointing to the Deployment Center - that’s your next stop.

In the Deployment tab, work through the numbered steps: pick the platform and architecture, stage the latest release on your server, and set the connection. The summary panel on the right then holds a one-line install command - copy it and run it on the target machine as root (or with sudo):

Deploy summary panel with the copy deploy command button

The command installs the agent as a service and connects it to your server - it appears on the dashboard within seconds. For Windows, the summary offers an MSI installer instead: run it on the Windows machine, then enter your server’s address in the tray app.

Full details: Deployment Center, Linux Agent, Windows Agent, IPMI Agent.

Your new system appears as a card on the Dashboard. Expand its Fans section - each fan row has two dropdowns, and together they define the fan’s behavior:

  • Fan Profile: the temperature-to-speed curve. Standard or Optimal are good first picks.
  • Control Sensor: the temperature that drives the curve. Highest is the safe default - the fan responds to whatever is hottest on that machine.

Fan rows with the Control Sensor and Fan Profile dropdowns, speed gauge, and RPM readout

Got many fans? Bulk Edit on the system card applies a profile and sensor to several fans in one action. See Fan Profiles & Logic for the built-in profiles, sensor groups, and custom curves.

That’s it - the fan is now under automatic control. Each row shows the live speed percentage and RPM; put some load on the machine and watch the speed follow the temperature up the curve, moving in smooth steps rather than jumps.

From here on, everything about the agent - settings, calibration, updates - is managed from this dashboard. You shouldn’t need to touch the agent machine again (Agent Philosophy).