Jac and Jaseci
The Jac programming language and Jaseci runtime stack supersets Python withAI-first constructs,object spatial programming, andscale-native constructs.
Our journey is strengthened by our sponsors and partners
Part of Nvidia Inception Program, supporting cutting edge AI innovation and scalability
Research led by faculty and researchers at University of Michigan, United States
Sponsored by NSF, advancing community driven open source ecosystem
What is Jac?
Get Started with Jac
Getting Started
Install Jac and setup your development environment. Write your first Jac program.
Start GuideTour of Jac
Learn core concepts including Object-Spatial Programming and AI export constructs.
Take TourLittleX Tutorial
Build your own Twitter-like app with Jac. Learn object-spatial programming hands-on.
Build TwitterRAG Chatbot
Create an AI-powered conversational chatbot with retrieval-augmented generation.
Build ChatbotQuick Reference
Jac in 2 minutes! Quick syntax reference and cheat sheets for fast learning.
Quick StartWhy Choose Jac?
Jac supersets Python
Jac is a drop-in replacement for Python and supersets Python, much like Typescript supersets Javascript or C++ supersets C.
Novel Code Export Construct for AI
Jac introduces a new way programmers can integrate LLMs into their code. Simply replace a function body with an llm call, need for prompt engineering.
Object-Spatial Programming
Jac introduces super OOP export constructs for a new paradigm called object-spatial OOP, enhancing the handling and visualization of data.
Cloud Native Abstractions
Jac makes persistence and user concepts part of the language, enabling simple programs to run unchanged in terminals or across clouds.
Zero DevOps Setup
Deploy applications without complex infrastructure setup. Jac handles scaling, persistence, and user management automatically.
Seamless Interoperability
Use any Python library or framework. Jac maintains full compatibility with the entire Python ecosystem while adding powerful new capabilities.
Built by Nerds and Innovators
~ Imagine, Create, Launch ~
Jac is an innovative programming language that extends Python's semantics while maintaining full interoperability with the Python ecosystem. Created by @marsninjawith contributors of Jac Hackers Everywhere, it introduces cutting-edge programming models and abstractions specifically designed to minimize complexity and embrace AI-forward development.
Our mission is to automate categories of common software systems that typically require manual implementation, making advanced programming paradigms accessible to developers worldwide.
Journey of Jaseci
~ The story of an idea realized ~
Prologue: In 2020, the concept of a new way of developing software in the AI era is concieved and later described in a Forbes blog article.
What’s In Store For The Next Generation Of AI? The Jaseci Perspective
In 2022, the idea has evolved and the first intellectual step in the journey of Jaseci and Jac is described.
The Case for a Wholistic Serverless Programming Paradigm and Full Stack Automation for AI and Beyond -- The Philosophy of Jaseci and Jac
Then in 2023, the idea survives peer-review at Computer Architecture Letters.
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-out Production Applications Easy and Fast
In 2024, the idea that AI should be a conventional code construct in the language is conjoured and ellucidated.
LLMs are Meaning-Typed Code Constructs
Then in 2025, the idea survives peer-review. (pending)
Meaning-Typed Programming: Language Abstraction and Runtime for Model-Integrated Applications
That same year, "data-spatial programming" described in earlier works becomes "object-spatial programming" and is rigorously defined.
Object-Spatial Programming
And, in 2025, the notion of "scale-native programming" through language abstraction is rigorously defined though it was first described in the original 2022 paper.
Extending Object-Spatial Semantics for Scale Native Programming
And the journey continues...