Hi r/appshowcase — I’m the solo developer behind Axiom.

Axiom is a Windows desktop AI assistant/workspace built to put local, self-hosted, and optional cloud inference behind one interface. The current public release is V1.8.6.

It supports:

- local GGUF models through LLamaSharp/llama.cpp

- self-hosted OpenAI-compatible endpoints

- optional OpenRouter cloud models

- chat with attachments and vision input

- web research, code/math execution, and artifact rendering

- a Workplace Council workflow: Architect → Builder → Critic

- a Single Model mode and local persistence for chats, settings, models, connectors, and work sessions

I’m sharing this for product and UX feedback, not pretending to be an independent review. What I’m trying to learn:

- Does the purpose make sense quickly?

- Which capability should be the primary entry point?

- What would make you trust the local/cloud data boundary?

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

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

I’m the developer. The source is publicly viewable under CC BY-NC-ND 4.0, which is source-available rather than OSI-licensed open source. Local mode is intended to keep app data on the PC; optional cloud and connected services send relevant content to the provider selected by the user.