"No machine can replace the human spark, but it shouldn't have to push the buttons either."
GhostOperator is a high-performance, visual
automation agent running entirely on your local machine.
Engineered for absolute precision, built for radical privacy.
Ultra-lightweight vision. screen gridding for sub-pixel precision.
Intelligence on any hardware. From dual-core to A100 GPUs.
Organic mouse physics that feel human and bypass detection.
Native multi-language logic. Real-time translation between EN/ES.
Why GhostOperator outperforms legacy RPA ecosystems.
| Feature | GhostOperator | Legacy RPA |
|---|---|---|
| Data Privacy | 100% Local (Offline) | Cloud-Dependent |
| Visual Engine | PhantomPulse™ (VLM-Native) | Static Selectors/OCR |
| Learning Curve | Natural Language Only | Complex Scripting/Studio |
| Operational Cost | Open Source / Free | Per-Bot Licenses ($$$) |
GhostOperator is built for speed and portability. We interact with the OS via native
syscalls (like user32.dll), avoiding heavy
dependencies.
Transparency in speed. We tell you exactly what to expect.
Precision and safety prioritized
Near real-time fluid automation
GhostOperator is open source and community-driven. Your support ensures the engine stays local, free, and accessible to everyone.
Perfect for enthusiasts and followers. Contributing via USDT Stablecoin (Polygon Network).
One-time or Monthly available
Exclusive for companies. We seek collaboration in funding, infrastructure, or technical talent.
Everything you need to deploy GhostOperator at scale and create custom automation workflows.
Deploy on G4dn or P3 instances for high-speed VLM inference.
Utilize NV-series VMs with NVIDIA Tesla M60/A100 support.
Compatible with Compute Engine N1 instances + T4 GPUs.
Recipes are the automation blueprint for GhostOperator. They define sequential goals, conditions, and vision-logic parameters in a human-readable YAML format.
version: "1.0" name: "Firefox Social Bot" steps: - goal: "Open Firefox and go to github.com" max_retries: 3 timeout_ms: 15000 - goal: "Find the Login button and click it" vision_density: "20x20" action: "CLICK" - goal: "Enter credentials and submit" condition: "ELEMENT_EXISTS(input#login)"
Test how GhostOperator "sees" your desktop. Upload a screenshot to simulate the alphanumeric mapping used by our VLM engine.
Supports PNG, JPG, or Screenshots
Download the latest binaries for GhostOperator.
Bypasses setup complexity and installs all local VL
Native syscall interaction via
user32.dll. High-performance stable release.
v1.0.1 Stable
MacOS / Linux / GCP / AWS
Deploy the orchestrator and dashboard as a containerized microservice.
docker build -t ghost-operator .
COPY
docker run -p 7474:7474 ghost-operator
COPY
Requires xdotool and Go 1.22. For production, the **Docker Brain** is recommended.
go build ./cmd/ghost
A step-by-step guide to deploying GhostOperator in your local environment.
The cleanest way to deploy the GhostOperator brain on any OS.
Navigate to the root project folder and ensure your local LLM is reachable.
Run the unified setup script which compiles the vision-orchestrator and boots the HTTP server.
GhostOperator exposes a modern real-time dashboard on your local loopback.
🔗 127.0.0.1:7474