Is Helix Pilot entirely local, or does it use cloud APIs?

Helix Pilot is 100% local. It runs entirely on your Windows machine using Ollama Vision LLMs, ensuring zero cloud API costs, no external data transfer, and full privacy.

Helix Pilot empowers AI agents to observe and control your Windows desktop through the Model Context Protocol (MCP), utilizing local Vision LLMs for advanced GUI automation.

How does Helix Pilot ensure safe desktop control?

It incorporates comprehensive safety features including configurable action policies, secret detection, an emergency stop, user activity monitoring, and a window deny list to protect your system from unintended actions.

What AI models and operating systems are compatible with Helix Pilot?

Helix Pilot works with any Ollama Vision LLM (e.g., Gemma 3, Mistral Small 3.2, LLaVA, Moondream) and is specifically designed for Windows 10/11.

Helix Pilot

Name: Helix Pilot
Author: tsunamayo7

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Empower AI agents to observe and control your Windows desktop using a local vision LLM.

helix-pilot is an MCP server that enables AI agents to seamlessly interact with your Windows desktop. It captures screenshots, leverages local Ollama Vision models for screen analysis, and executes mouse and keyboard actions, all while running entirely on your machine. This eliminates the need for expensive cloud APIs and ensures data privacy, offering a truly local and robust solution for GUI automation, especially beneficial for users of Claude Code, Codex CLI, and other MCP-compatible clients.

主要功能

01100% local operation with Ollama Vision LLMs for zero cloud API cost

02Windows-native desktop control via Win32 API, not a VM or container

03MCP-native integration for instant compatibility with various AI clients

040 GitHub stars

05Comprehensive built-in safety system including action policies and emergency stop

06Vision LLM-powered screen understanding for robust UI interaction

使用案例

01Automating complex GUI tasks on Windows via AI agents like Claude Code or Codex CLI

02Enabling conversational AI models (e.g., via Open WebUI) to interact with the desktop

03Developing and deploying AI-driven desktop automation scripts without cloud dependencies