Hello, Dev Community!
For the past couple of months, I've been on an incredible journey building something I'm truly passionate about. Today, I'm thrilled to take the first major step in sharing it with all of you.
I'm talking about Project KARL (Kotlin Adaptive Reasoning Learner).
What is KARL?
At its heart, KARL is an answer to a question that has been on my mind: Can we build powerful, personalized AI without sacrificing user privacy?
Project KARL is an open-source library, built entirely in Kotlin, designed to create on-device, adaptive AI models. Instead of sending your data to the cloud to be processed, KARL learns and adapts exclusively on the user's device. It starts as a blank slate and becomes uniquely tailored to an individual's behavior over time.
It's built on a few core principles:
• Privacy-First: All learning and data storage are local by default.
• Truly Personal: The AI adapts to one user, not a generalized population.
• Modular & Composable: Designed with a clean, container-based architecture to be easily integrated into modern Kotlin applications.
Action is Always Preceded by Learning
In the spirit of that motto, I'm taking a docs-first approach to this release. I believe that for a project with a new architectural pattern to be truly understood and adopted, the concepts and guidelines must be clear from day one.
Before you dive into the code, I want you to have the complete map.
Today, I am officially releasing the complete documentation for Project KARL.
This includes everything from high-level introductions and core concepts to detailed integration guides, API overviews, and contributor information. It’s the blueprint for the entire project.
→ Explore the Official KARL Documentation Here: KARL DOCS ↗
Mark Your Calendars: The Code is Coming
With the documentation now public, you can learn, explore, and understand the vision. The next step is action.
The official open-source repository for Project KARL will be made public soon.
On that day, you'll have access to the full source code for all the core modules, implementations, and the example desktop application that brings it all to life.
What to Expect
The initial release will be an alpha version, a solid foundation ready for feedback, experimentation, and community contribution. It's the start of a journey, and I'm incredibly excited to build it in the open with all of you.
So, take some time to read through the docs. Understand the "why" and the "how." And get ready to dive into the code.
I can't wait to share it with you.
We're on the edge.
Get Ready.
- AR
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