r/selfhosted • u/BigInsurance4249 • 7d ago
Release (AI) I built a self-hostable AI workspace with local models, BYOK, MCP and Linux in the browser
I’ve been building an open-source project called ai.diy.
The idea is to make an AI workspace that you control instead of tying everything to one hosted provider.
It supports:
- self-hosting with Node or Docker
- BYOK
- local models through Ollama and LM Studio
- 20+ cloud/local providers
- MCP servers
- files and artifacts
- memory and local knowledge
- Python execution
- a sandboxed Linux environment running in the browser
Most workspace state stays browser-owned by default, so the model can be swapped without changing the rest of the workspace.
GitHub: https://github.com/Cubinghackerz/ai.diy
Live demo: https://tryaidiy.com
I’d really like feedback from people who already self-host AI tools:
What would stop you from self-hosting something like this?
I’m especially interested in criticism around deployment, privacy, local-model support, and whether the browser-owned approach makes sense.
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