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What is OculiX?

OculiX is the modern Java successor to SikuliX (Raimund Hocke, 2010) and to the original Sikuli research project (Yeh et al., MIT UIST 2009). The lineage covers 17 years of continuous open source visual automation development, and OculiX is the current active branch of that history — modernized codebase, Java 17+ baseline, contemporary IDE, and a strict MIT license. The niche of Java-based open source visual automation has effectively one serious project, and OculiX is it. Everything else in the space is either Python (PyAutoGUI, SikuliX-Python wrappers) or proprietary (Applitools, Ranorex, TestComplete, Eggplant). OculiX ships batteries-included: OpenCV template matching, embedded Tesseract OCR with no user install, a Swing-based IDE with a modern recorder that generates scripts in Python, Java, or Robot Framework syntax, a Java API for embedding into any JUnit / TestNG / Katalon test project, and Model Context Protocol servers for LLM agent workflows. Cross-platform: Windows, macOS (Intel + Apple Silicon), Linux (x86-64 + aarch64, including glibc-legacy). Adopted by 150+ organizations including Neo4j, Siemens, Synopsys, Johnson & Johnson, IBM, General Motors. Repository on GitHub at oculix-org/Oculix. MIT license.

What is GLM-4.5V?

The GLM-4.5V model emerges as a significant advancement over its predecessor, the GLM-4.5-Air, featuring a sophisticated Mixture-of-Experts (MoE) architecture that includes an impressive total of 106 billion parameters, with 12 billion allocated specifically for activation purposes. This model is distinguished by its superior performance among open-source vision-language models (VLMs) of similar scale, excelling in 42 public benchmarks across a wide range of applications, including images, videos, documents, and GUI interactions. It offers a comprehensive suite of multimodal capabilities, tackling image reasoning tasks like scene understanding, spatial recognition, and multi-image analysis, while also addressing video comprehension challenges such as segmentation and event recognition. In addition, it demonstrates remarkable proficiency in deciphering intricate charts and lengthy documents, which supports GUI-agent workflows through functionalities like screen reading and desktop automation, along with providing precise visual grounding by identifying objects and creating bounding boxes. The introduction of a unique "Thinking Mode" switch further enhances the user experience, enabling users to choose between quick responses or more deliberate reasoning tailored to specific situations. This innovative addition not only underscores the versatility of GLM-4.5V but also highlights its adaptability to meet diverse user requirements, making it a powerful tool in the realm of multimodal AI solutions. Furthermore, the model’s ability to seamlessly integrate into various applications signifies its potential for widespread adoption in both research and practical environments.

Media

Media

Integrations Supported

Apache Groovy
Apache Maven
Gradle
JUnit
Java
Katalon Studio
Kotlin
Model Context Protocol (MCP)
OpenCV
PaddleOCR
Python
RDPWindows
Robot Framework
Tesseract

Integrations Supported

Claude Code
Cline
Kilo Code
OpenRouter
Roo Code
Sup AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

OculiX

Date Founded

2026

Company Location

France

Company Website

oculix.org

Company Facts

Organization Name

Z.ai

Date Founded

2023

Company Location

China

Company Website

chat.z.ai/

Categories and Features

Robotic Process Automation (RPA)

Attended Automation
Image Recognition
Optical Character Recognition
Third Party Application Integration
Unattended Automation

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Video Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

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