IGAUAN
An AI desktop and web workspace designed around persistent conversations, custom characters, memory, file workflows and integrated tools. The product is built as a practical AI companion rather than a one-shot chatbot.
Built as a persistent AI workspace
IGAUAN combines conversational AI with product features that make it usable as an everyday desktop companion and workspace.
Persistent conversations
Separate chat histories per character and session, with conversation restoration across app restarts.
Character memory
Characters can retain user preferences, nicknames and behavioural context to make future conversations more consistent.
Multi-character system
Users can switch between characters with different personalities, visual moods and conversation styles.
Compact desktop mode
A smaller chat interface designed to stay accessible while the user works in other applications.
Files & AI tools
Designed to handle files, AI-assisted work, web tasks and other utilities through a unified chat experience.
ISTEMP ecosystem
Integrated with ISTEMP services for account, cloud storage, token and supporting platform functionality.
Instant web access, full desktop experience
Recruiters and users can open the web version instantly at ai.istemp.my. The Windows application is the fuller IGAUAN experience, with native desktop-only capabilities that are not all available in the browser version.
IGAUAN Web
Quick access from a browser for trying the product, chatting with characters, viewing conversation history and using account-connected features without installing anything.
IGAUAN for Windows
The native desktop build provides the complete companion experience, including deeper desktop integration, richer local workflows and features that depend on the Windows environment.
Why two versions?
The web app reduces friction for first-time users and portfolio reviewers, while the Windows app is where the broader native feature set and desktop-first experience live.
From product idea to working system
The project is developed through an AI-assisted workflow: defining behaviour and product requirements, integrating components, testing, debugging and iterating on real application builds.
Core technologies used across the project include Python, desktop UI tooling, HTTP/REST APIs, JSON persistence, Windows integration, installer/update workflows and web services.