Jac and Jaseci

The programming language and runtime library that extends Python with AI-first constructs, object spatial programming, and scale-native constructs.

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🚀 Try Jac Live

Experience the power of Object-Spatial Programming and AI integration

📝 Code Editor

🖥️ Output Console

Get Started with Jac

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Getting Started

Install Jac and setup your development environment. Write your first Jac program.

Start Guide

🎯

Tour of Jac

Learn core concepts including Object-Spatial Programming and AI constructs.

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The Jac Book

Complete guide for Python developers transitioning to Jac programming.

Read Book

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LittleX Tutorial

Build your own Twitter-like app with Jac. Learn object-spatial programming hands-on.

Build Twitter

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RAG Chatbot

Create an AI-powered conversational chatbot with retrieval-augmented generation.

Build Chatbot

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AI Games

Explore AI-driven applications with RPG games and fantasy trading systems.

Play Games

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Jac Cloud

Deploy your Jac applications to the cloud with built-in scaling and persistence.

Go Cloud

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AI Programming

Master AI integration with MTLLM and multimodal models in Jac.

AI Guide

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Quick Reference

Jac in 2 minutes! Quick syntax reference and cheat sheets for fast learning.

Quick Start

Why Choose Jac?

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Jac supersets Python

Jac is a drop-in replacement for Python and supersets Python, much like Typescript supersets Javascript or C++ supersets C.

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Novel Code 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.

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Object-Spatial Programming

Jac introduces super OOP constructs for a new paradigm called object-spatial OOP, enhancing the handling and visualization of data.

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Cloud Native Abstractions

Jac makes persistence and user concepts part of the language, enabling simple programs to run unchanged in terminals or across clouds.

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Zero DevOps Setup

Deploy applications without complex infrastructure setup. Jac handles scaling, persistence, and user management automatically.

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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 @marsninja with 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.

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An Intellectual Journey

~ The story of ideas realized ~

In 2022, 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 langauge abstraction is rigorously defined though it was first described in the original 2022 paper.
Extending Object-Spatial Semantics for Scale Native Programming