QbitOS Labs
To build the infrastructure required for the emergence of autonomous intelligence — systems capable of understanding, remembering, learning, planning, and improving themselves over time.
At a Glance
- AI Researchers
- Autonomous Systems Engineers
- Scientific Organizations
AI Tools by QbitOS Labs
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QbitOS
Efficient LLM for Consumer Hardware
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Products & Services
A 6B parameter cognitive operating system for autonomous intelligence using Sparse MoE architecture.
A unified intelligence workspace including Cognitive IDE, Agent Studio, and Memory Studio.
An AI-native systems programming language designed for LLMs and intelligent agents.
Market Position
Positions itself as building an 'operating layer' for intelligence rather than an application, competing with traditional AI application frameworks by providing a unified cognitive architecture.
Leadership
Founders
Felon (jammievae)
Primary developer and creator of QbitOS. Expert in Rust, Python, and Go for AI agent platforms. Based in Libya.
Walaa Horani (Vala Alhurani)
Full Stack Developer and AI content creator. Technical collaborator and promoter of QbitOS Labs.
Executive Team
Felon (jammievae)
Primary Developer / Lead Researcher
Creator of the QbitOS architecture and lead developer of the platform.
Walaa Horani
Technical Collaborator / Content Lead
Responsible for technical promotion and full-stack development contributions.
Founding Story
Founded with the vision that traditional software architectures are limited in their ability to reason and adapt. The lab builds technologies that move toward continuously evolving cognitive systems.
Business Model
Revenue Model
Independent research driven, focusing on open research and potential engineering partnerships.
Target Markets
- AI Researchers
- Autonomous Systems Engineers
- Scientific Organizations
- Autonomous discovery
- Scientific advancement
- Complex problem solving
- Human-AI collaboration