
ElfDeckAI
io.github.Garthnesss由 GitHub 账号 Garthnesss 发布v1.1.3更新于 Oct 29, 2026
Virtual keyboard, gamepad and mouse for AI agents on Linux / Steam Deck.
概览
在 Linux 或 Steam Deck 上为 AI 助手提供虚拟键盘、手柄和鼠标,并能截取屏幕,让它能玩游戏或操作桌面。
- 可以做什么
- 敲击、按住和释放键盘按键
- 按下、按住和释放手柄按键,设置摇杆与扳机,回中或重置手柄
- 移动指针、按截图坐标点击、拖拽、滚动并释放鼠标按键
- 截取屏幕并返回 PNG,形成看一眼、操作、再看一眼的循环
- 用等待工具在动作之间暂停
- 适用场景
- 适合让智能体通过真实的系统级输入真正玩一款游戏或操作 Linux 桌面,尤其是 Steam Deck 上的回合制游戏、RPG、解谜和菜单。不适合快节奏动作游戏,因为智能体每步需要一秒以上。
- 运行要求
- 64 位 Linux,具备 /dev/uinput 和 Python 3.9 或更高版本;PyPI 包 elfdeckai 提供各守护进程和 elfdeckai-mcp 服务器。在 Steam Deck 上需启用 SSH 并设置密码,让 PC 通过 SSH 密钥启动服务器。其他发行版可能需要 udev 规则才能访问 /dev/uinput。可选环境变量 ELFDECKAI_SCREENSHOT_MAX 设置截图尺寸上限。
安装
在 SourceWeft 中
- 打开 控制台中的 ElfDeckAI,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
ElfDeckAI
[tests] [PyPI] [License: MIT] [Python]
Let an AI play games on your Steam Deck.
ElfDeckAI gives an AI assistant such as Claude a virtual controller, keyboard and mouse on your Steam Deck, plus the ability to see the screen. The AI looks at the game, decides what to do, and presses the buttons itself. It works in both Gaming Mode and Desktop Mode, and on other Linux machines too.
Start here: Steam Deck (about 5 minutes)
You need a Steam Deck, and a PC on the same Wi-Fi with an AI app that supports MCP, such as Claude Desktop.
1. Install on the Deck. Switch the Deck to Desktop Mode (Steam button → Power → Switch to Desktop), open Konsole, and paste:
At the end it prints the Deck's IP address. Keep it for step 3.
2. Turn on SSH on the Deck (once), so your PC can reach it. In the same Konsole window:
3. Connect your PC. On the PC, paste one line. It asks for the Deck's IP address and its password (once), then sets everything up, including Claude Desktop.
- Windows (in PowerShell):
- Mac or Linux (in Terminal):
4. Try it. Restart Claude Desktop and ask: "Take a screenshot of my Steam Deck." When you see your Deck's screen, start a game and ask the AI to play.
Tips
- Turn-based games, RPGs, puzzles and menus work best. The AI needs a second or more per move, so fast action games are out of reach.
- In Gaming Mode, if a game ignores the AI's controller, ask the AI to make its controller Player 1. It knows how, using Steam's Reorder Controllers menu while the game runs.
- Something not working? Give AI_SETUP_GUIDE.md to your AI and ask it to help. It covers setup and troubleshooting step by step.
How it works
Three small programs on the Deck create virtual input devices through the
Linux kernel's /dev/uinput, so games and Steam see them as real hardware:
- ElfKey: a virtual keyboard
- ElfPad: a virtual Xbox 360-class gamepad (buttons, analog triggers, two sticks, D-pad)
- ElfMouse: a virtual mouse, which can also click an exact point on the screen
A fourth program, an MCP server, exposes them, together with a screenshot tool, as tools any MCP client can call. Your PC's AI app starts that server on the Deck over SSH. Nothing depends on a particular game or emulator: ElfDeckAI has played Pokémon FireRed in RetroArch on a physical Steam Deck, from the intro through the first rival battle, with the agent seeing only screenshots. See notes/driving.md for what was learned.
Everything is single-file Python using only the standard library, and the Deck install needs no sudo.
Other Linux machines
Without pip, clone the repository and run python3 elfkey.py (and so on)
directly. Runtime state lives in /tmp and is cleared on reboot.
/dev/uinput is user-writable on the Steam Deck by default. On other
distributions, install the udev rule first (see Installation).
MCP server
elfdeckai-mcp is a Model Context Protocol server (stdio transport) that
exposes 22 tools:
screenshot captures the screen of the machine the server runs on and
returns a PNG, so an agent can work in a look, act, look again loop
without a separate video stream. It supports the Steam Deck in both Gaming
Mode (through gamescope) and Desktop Mode (KDE Plasma), wlroots compositors
and X11. Screens larger than
1280 pixels on their long side are scaled down before sending (set
ELFDECKAI_SCREENSHOT_MAX to change the limit, or 0 to turn it off), and
the result includes the image's size.
mouse_click_at and mouse_move_to take coordinates in the pixels of the
most recent screenshot, so an agent can click exactly what it sees, whatever
the screen's real resolution or the scaling applied. They assume a single
display.
Running on the same machine as the daemons:
Running on a Steam Deck from an AI client on your PC, over SSH (the
setup-pc scripts in Start here
write this for you):
It logs in with an SSH key, because the MCP client cannot answer a password
prompt. Without pip, use
"command": "python3", "args": ["/path/to/elfdeckai_mcp.py"].
Every tool call is validated against the tool's schema and the daemon's own parser before anything is written to a FIFO. If a daemon is not running, the call returns an error immediately instead of blocking.
Command reference
ElfKey (/tmp/elfkey.fifo)
Keys: a–z, 0–9, arrows, enter, esc, space, tab, backspace,
shift, rshift, ctrl, rctrl, alt, ralt, capslock, f1–f10,
home, end, pageup, pagedown, insert, delete and common
punctuation. The full table is KEYS in elfkey.py.
ElfPad (/tmp/elfpad.fifo)
Buttons: a b x y lb rb l2 r2 select start guide l3 r3, plus D-pad
directions up down left right.
ElfPad identifies as an Xbox 360 controller, so SDL, Steam Input and
RetroArch map it without configuration. l2 and r2 drive the analog
trigger axes, as on the real controller; there are intentionally no
digital trigger buttons, because declaring them shifts Select, Start and
Guide off the standard button indices.
ElfMouse (/tmp/elfmouse.fifo)
move is relative: negative dy moves up. Its units are motion counts,
not guaranteed screen pixels, because pointer acceleration applies. Each
command is limited to ±10,000 counts and ±120 wheel ticks.
moveto uses a second virtual device, ElfMouse Absolute, which
compositors treat like a virtual machine's tablet pointer, so the position
is exact. Buttons are pressed on whichever device moved last.
Safety model
Because the caller may be a language model, the daemons are built so that bad input cannot leave the machine in a bad state:
- Malformed input is refused, not fatal. Every line passes a strict parser; invalid commands are logged and ignored.
- Taps are bounded. A timed hold lasts at most 5 seconds. Longer holds
use
down/up. - Nothing stays stuck. Timed actions restore in a
finallyblock, held inputs are tracked, and onquit, SIGTERM, SIGINT or SIGHUP every input is released before the device is removed. If the MCP client disconnects mid-hold, the server releases every held input as it exits.key_release,mouse_releaseandpad_resetrelease everything on demand. - Owner-only access. Each FIFO is created with mode 0600.
- Audit log. Every accepted command is written to stderr (the journal, when run as a service). That includes every key of anything typed — passwords included, one line per keystroke. Do not have an agent type secrets you are not willing to see in the journal.
- Robust protocol handling. The MCP server returns proper JSON-RPC errors for malformed or oversized requests and never blocks on a stopped daemon.
Scope: these are real OS-level input devices. They act on whichever window has focus, including terminals and browsers. ElfDeckAI keeps input bounded, validated and releasable; deciding where an agent is allowed to act is up to the operator. Only run agents you trust, in sessions you can supervise.
Manipulated callers: the hardening above covers a caller that
hallucinates or sends malformed input. It does not cover a caller that is
manipulated — and the agent's eyes are a screenshot, so anything on
screen (a web page, a game dialog, a chat message) is untrusted input
that could try to talk it into typing into a terminal. There is no key or
window allowlist and no physical kill switch; the mitigations are the
operator's: supervise the session, keep terminals and browsers you care
about out of focus, and stop the daemons (systemctl --user stop elfkey elfpad elfmouse) when the agent is not driving. If the MCP client
disconnects, the server now releases every held input on its way out —
but a live, manipulated agent is an operator problem, not one this
validation layer can solve.
Comparison with other approaches
Installation
Requirements: 64-bit Linux with /dev/uinput and Python 3.9 or newer.
Where /dev/uinput is not writable by your user, install the udev rule
once:
To run the daemons as systemd user services after pip install --user elfdeckai
(the unit files expect the commands in ~/.local/bin):
Development
The test suite covers each daemon's input parser, device behaviour against
a fake uinput device, and the MCP server over real JSON-RPC. No
/dev/uinput is required to run it.
Roadmap
See ROADMAP.md.
Changelog
See CHANGELOG.md.
License
MIT. See LICENSE.
Author
Created and maintained by Garth Elfstrom (@Garthnesss). Issues and pull requests are welcome.
来源:README.md,提交 b046b20
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0版本历史
1- v1.1.3最新Oct 29, 2026
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