Browse free open source Lua AI Agents and projects below. Use the toggles on the left to filter open source Lua AI Agents by OS, license, language, programming language, and project status.

  • The Most Powerful Software Platform for EHSQ and ESG Management Icon
    The Most Powerful Software Platform for EHSQ and ESG Management

    Addresses the needs of small businesses and large global organizations with thousands of users in multiple locations.

    Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
    Learn More
  • The AI workplace management platform Icon
    The AI workplace management platform

    Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.

    By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
    Learn More
  • 1
    Chippy is a free and open source adventure game in development where the player controls an AI agent named "Chippy", a small robotic chip that takes control of enemy robots and uses their abilities to fight other robots and solve puzzles.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Neovim 99

    Neovim 99

    Neovim AI agent done right

    Neovim 99 is an experimental GitHub repository created by well-known developer and educator ThePrimeagen that explores what he describes as the “ideal AI workflow” for developers who want a streamlined, high-quality integration of AI tooling into real coding environments — particularly focused on tools like Neovim and agent-centric workflows. Rather than a polished end-product, this repo serves as a playground for testing, iterating, and documenting workflows that integrate AI agents directly into everyday coding tools, emphasizing rapid feedback loops, automation, and minimal friction. The project often includes configuration files, scripts, and examples that show how to coerce modern AI assistants into productive roles within editors, plugins, and terminal workflows, with a focus on “no excuses” productivity. It blends examples from Neovim, agent automation, and developer ergonomics to illustrate how AI can be baked into existing environments.
    Downloads: 0 This Week
    Last Update:
    See Project
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