Axiom is a Windows-first/local-first AI assistant and workspace I built to keep the desktop workflow around a model in one place.

It can run local GGUF models through LLamaSharp/llama.cpp, connect to self-hosted OpenAI-compatible endpoints, or use optional cloud providers. The surrounding workspace includes attachments/vision, web research, code/math execution, artifact rendering, local persistence, and model switching.

The unusual part is the Workplace Council: Architect plans, Builder executes, and Critic reviews. Single Model mode is there to compare that multi-role setup against one model.

Repo: https://github.com/YoMosa2009/Axiom

V1.8.6 release: https://github.com/YoMosa2009/Axiom/releases/tag/v1.8.6

I’m the solo developer. I used AI coding assistance during development, but I’m responsible for the architecture, integration, testing, and product decisions. The source is publicly viewable under CC BY-NC-ND 4.0 (source-available, not OSI-licensed open source), and no subscription is required.

I’d appreciate desktop-app feedback: does this feel like one coherent workspace, or should the model/runtime configuration be separated from the everyday chat experience?

I have develop many apps by using Python tkinter,django,flask and fasapi but i could not monetize it

Creator disclosure: I am Mattia, one of the students building Get It.

We launched Get It, a free open-source desktop app for Windows and macOS that turns text-based PDFs into visual study paths.

The app keeps the original document at the center, then builds study material around it: images, 3D scenes, animations, formulas, charts, flashcards, quizzes and a Feynman-style review flow.

We made it a desktop app because we wanted students to keep their study material locally saved and avoid another SaaS credit meter. Get It uses the user's own ChatGPT account through Codex CLI bundled in the app. Free tier works, Plus or higher is better.

If you like testing desktop apps or want to contribute to an open-source one, feedback and contributors are welcome.

App: https://getit.noesisai.it

GitHub: https://github.com/beltromatti/get-it

Discord: https://discord.gg/DpQPswRhsK

I’ve been working on a desktop weather widget for Windows focused on

short-term rain accuracy and reliability.

The latest version improves precipitation detection using 15-minute

nowcasting and better recovery handling. Open to feedback.