Building an open-source offline voice assistant with Ollama—looking for contributors and brutally honest feedback

Over the past few months, I've been building AURA, an open-source, offline, voice-powered AI assistant that runs entirely on a local machine.

The goal isn't to compete with cloud AI assistants. It's to build something that's private, extensible, and fully owned by the user.

Current stack:

Ollama (local LLMs)

Whisper (Speech-to-Text)

Wake-word detection

ChromaDB (RAG/Memory)

Piper (Text-to-Speech)

Python

The core voice pipeline is now working end-to-end:

Wake Word → Speech-to-Text → Local LLM → RAG → Text-to-Speech

I'm actively improving areas like:

Better memory and retrieval

Multi-agent workflows

Safer execution of developer commands (Git, Docker, filesystem)

Cross-platform support (Linux/macOS)

Performance optimization

Documentation and testing

This is still an early-stage project, and I'd rather build it with the community than in isolation.

I'm looking for people who want to contribute—whether that's:

Writing code

Reporting bugs

Improving documentation

Testing on different operating systems

Suggesting features

Reviewing the architecture

Pointing out flaws I haven't considered

If you enjoy building local AI tools, voice interfaces, or developer-focused open-source projects, I'd love to have you involved.

The repository is here: https://github.com/aryanjsx/AURA

Every issue, discussion, PR, or piece of feedback helps move the project forward. Don't hold back—I'd much rather hear what's wrong with it now than after release.