Agent Desktop Ffi
Cross-language C-ABI bindings for directly invoking agent-desktop.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agent Desktop Ffi. It is used for: Cross-language C-ABI bindings for directly invoking agent-desktop. Full Skill content: https://321skill.com/skills/agent-desktop-ffi-x-4/raw/index.md Read that page and install it.
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This Skill addresses the challenge of efficiently invoking the agent-desktop PlatformAdapter from various programming languages. In practical development, performing each operation by launching a CLI binary process introduces significant performance overhead and latency, which is unacceptable in high-frequency calling scenarios.
Usage is straightforward: simply run cargo build --profile release-ffi -p agent-desktop-ffi in your Rust workspace to build the dynamic library (.dylib/.so/.dll). You can then load this library directly from languages like Python (ctypes), Swift, Node.js (ffi-napi), Go (cgo), C++, or Ruby (fiddle) to call the ad_* series of functions, completing the entire workflow from initialization and adapter creation to taking snapshots and executing operations.
It is ideal for developers building high-performance AI desktop agent applications, especially teams or individuals using non-Rust languages who wish to leverage agent-desktop's capabilities. For example, Python developers wanting to quickly integrate desktop automation via ctypes, or Node.js services requiring low-latency desktop element manipulation.
It is recommended to distribute the dynamic library with your application and ensure the caller properly performs the ABI handshake (ad_init) to verify version compatibility. Note that this library is primarily intended for developers with cross-language FFI experience and requires the Rust toolchain to be pre-installed.
Key Features
Unlike directly invoking the agent-desktop CLI binary, it links directly via a C-ABI shared library, eliminating the overhead of creating a new process for each operation. This results in significant performance gains, making it particularly suitable for high-frequency calling scenarios of tens of operations per second or more.
Limitations
Requires the Rust toolchain and a Cargo workspace environment. The built dynamic library is platform-specific (macOS/Windows/Linux) and must be compatible with the version of agent-desktop's PlatformAdapter.
FAQ
Which programming languages are supported?
Officially supports Python (ctypes), Swift, Node.js (ffi-napi), Go (cgo), C++, and Ruby (fiddle). In theory, any language supporting the C-ABI can call it.
How to avoid ABI version mismatch?
Call `ad_init(AD_ABI_VERSION_MAJOR)` to perform a handshake. If the versions are incompatible, an error code will be returned. It is recommended to check this at application startup and terminate if a mismatch occurs.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-desktop-ffi-x-4/raw/index.md to read the original Skill definition (Markdown format) for Agent Desktop Ffi, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-desktop-ffi-x-4/raw/index.md