Kaba

Kaba is an open-source digital laboratory designed for individuals and organizations who want to run artificial intelligence models locally on their own hardware, without relying on external cloud services or third‑party data processors. At its core, Kaba provides a self‑contained environment where users can execute AI tasks—such as prompt‑based interactions, model inference, and custom training—entirely offline. This eliminates the need to send sensitive data over the internet, ensuring that all prompts, context, results, and user experiences remain private by default. The platform is distributed free of charge and emphasizes data ownership: it does not collect, sell, or monetize user information, and its business model is explicitly not built on user data. Kaba functions as a local alternative to cloud‑based AI assistants. Instead of outsourcing cognitive work to a remote server where data might be stored, analyzed, or shared, users can download the Kaba application and run it on their own machine. The software supports a wide range of AI models and allows users to load, switch, and fine‑tune those models according to their specific needs. For example, a researcher working with confidential medical records can use Kaba to analyze text without exposing patient data to any cloud provider. A developer building a private chatbot for internal company tools can deploy Kaba on a local server and keep all conversations within the local network. The platform also includes documentation and fundamentals for learning how to operate and customize the digital laboratory. Users can explore different model architectures, adjust hyperparameters, and experiment with techniques such as retrieval‑augmented generation (RAG) or prompt engineering, all while maintaining full control over t