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Kache

One terminal to command all your devices.

Kache is a hub that runs in your terminal. Pair your computers once, then type a command and it runs on the device you picked, or on all of them at once, exactly as if you were sitting at that machine. Every device runs a small gatekeeper that only obeys devices you paired, refuses orders that cannot work there, and sends back an evidence report when something fails. Every order anyone sends (you, a script, or an AI agent working for you) shows up in the live feed with the exact command.

pip install kache-ssh
kache

What you get

  • A real remote terminal. What you type is what runs on the other device, in its own shell (PowerShell on Windows, your shell on Linux and macOS). cd sticks between commands, output streams live, Ctrl+C stops an order.
  • One device or all of them. Pick a device, or press F6 and send the same order to every device in parallel; output is labelled per device.
  • Jobs that keep running. Press F7 instead of Enter (or kache run --detach) and the order keeps going after you close Kache or lose the connection: training runs, builds, downloads. F8 shows every job, its live output, and stops it.
  • Files both ways. kache push and kache pull copy files and whole folders over the same paired connection.
  • Device health at a glance. Online/offline, CPU and RAM use, GPU load, temperature and memory (NVIDIA), and CPU temperature where the OS exposes it.
  • Pairing with a yes/no question. Ask another device to pair; its Kache terminal asks "laptop wants to send orders to this device. Code 482 913. Accept?" Both screens show the same code, so nobody can sit in between.
  • Works at home and away. Kache remembers every address of a device (LAN, Tailscale IP, Tailscale name) and uses whichever answers. Pair once at home; it keeps working over Tailscale anywhere.
  • A gatekeeper on every device. Unknown devices can only say hello or ask to pair. Paired devices are pinned by key. Orders for commands that do not exist on that device are refused up front (Linux/macOS) or explained afterwards (Windows).
  • Evidence when things break. A failing order comes back with a report: exit code, last lines of output, labelled hints (command not found, permission, disk full, missing Python module, network, out of memory...) and the machine's state at that moment. An order that "succeeded" while PowerShell printed errors says so: ok, but 3 errors were reported.
  • A live feed of every order. Who sent what to which device, when, and how it ended, including orders from scripts and AI agents, which are labelled with the agent's name.
  • Built for AI agents too. Every command has --json, there is an MCP server (kache mcp), and kache guide explains everything an agent needs.

Quick start

On every device, one command:

pip install kache-ssh

Then open Kache by typing kache. The first time, it also starts its gatekeeper in the background and from then on at every login, so the device stays reachable when the window is closed (kache service uninstall turns that off, kache service status shows it). No administrator rights needed.

In the Kache terminal on the device you want to command from, press F2 and enter the other device's address: its LAN IP, Tailscale IP or Tailscale machine name (devices on your tailnet are listed for you). Accept on the other device when the codes match. It appears in your device list, and anything you type now runs there.

On Windows, the first time the gatekeeper starts, Windows may ask whether Python may accept connections. Allow it, or other devices cannot reach this one.

Keys

Key Action
Enter send what you typed to the selected device(s)
↑ / ↓ previous / next command
Ctrl+↑ / ↓ select the previous / next device
F6 switch between one device and all devices
F7 send what you typed as a background job
F8 jobs: watch their output live, stop them
Ctrl+C stop the running order(s)
F2 pair a new device
F3 rename the selected device
F4 remove the selected device
F5 show the last failure's evidence
Ctrl+Q quit

Start at boot

By default the gatekeeper starts when you log in. For a computer that must stay reachable after a restart even when nobody logs in (a Windows Update reboot while you are away), run once in an administrator terminal:

kache service install --at-boot

When the computer shuts down, Kache simply stops; nothing needs saving. Background jobs that were running are reported as lost afterwards, so you know to start them again.

Jobs and files

kache run desktop --detach -- python train.py     # starts a job, prints its id
kache jobs                                        # every job on every device
kache logs J-3f2a9c -f                            # follow its output live
kache cancel J-3f2a9c                             # stop it
kache push model.pt data/ desktop:C:/proj         # copy to a device
kache pull desktop:C:/proj/results .              # copy back
kache run desktop -f setup.ps1                    # send a whole script

Away from home: Tailscale

Kache connects devices directly, so a device must be reachable from the one commanding it. At home that is your LAN. Away from home, install Tailscale (free for personal use) on both devices and sign in with the same account. Then:

  • kache discover lists the devices on your tailnet and which run Kache;
  • pairing by Tailscale name works: kache pair my-desktop;
  • devices paired over LAN switch to Tailscale automatically when the LAN address stops answering;
  • kache listen tailscale makes a gatekeeper answer on your tailnet only, ignoring the local network.

For scripts and AI agents

Everything the terminal does is also a command with --json output, and every order still appears in the feed:

kache devices --json                              # status and health of every device
kache run desktop --json --timeout 60 -- nvidia-smi
kache run all --as nightly-job -- git pull         # labelled in every feed
kache feed -d all -f --json                       # live JSON-lines feed from all devices
kache evidence E-3f2a9c -d desktop                # a failure report
kache doctor desktop --json                       # why a device cannot be reached

For MCP clients (Claude Code, Claude Desktop, Cursor and others):

claude mcp add kache -- kache mcp

Agents get the tools kache_devices, kache_run (optionally as a job), kache_jobs, kache_job_log, kache_cancel_job, kache_push, kache_pull, kache_feed, kache_evidence, kache_doctor, kache_discover, kache_pending and kache_pair. Accepting pair requests and revoking devices stays with people. kache guide prints the full guide: JSON shapes, feed event kinds, exit codes and rules for agents.

How it works

Each device has one ed25519 key, created on first run. The gatekeeper is an SSH server (built on asyncssh, port 7722) that accepts any key but only lets unknown keys say hello or ask to pair; paired keys may send orders. The Kache terminal is an SSH client that pins each paired device's key. Nothing goes through a server in between.

State lives in one folder per device (kache whoami shows where; override with KACHE_HOME): the device key, its name, the devices it commands, the devices trusted to command it, the feed and the evidence reports.

If something does not connect, kache doctor checks every step (gatekeeper, Tailscale, each address, the device's key, the pairing) and says what to fix.

Status

Version 0.3: pairing, orders, sessions, evidence, live feed, health, background jobs, file transfer, start at boot, Tailscale, JSON output and MCP work on Windows, Linux and macOS.

Planned:

  • full interactive sessions (kache attach for programs like vim or htop);
  • permissions per sender: read-only scripts and agents, your approval for dangerous orders;
  • pairing both directions in one step;
  • a relay for devices that cannot reach each other directly.

MIT licensed.

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