Self-hosted alternatives to Moss
50 self-hosted AI apps to use instead, best rated first.
Top picks
- O

Open WebUI
LaunchSelf-hosted AI platform that connects local and cloud models, extends with Python, and keeps your data under your control.
Open sourceSelf-hosted
- J

Jan
LaunchJan runs open-source AI models on your own hardware or connects to cloud providers like OpenAI, Anthropic, and Google, keeping your conversations off third-party servers.
Open sourceSelf-hosted
- O

Ollama
LaunchRuns open-source language models locally with a simple setup, plus optional cloud access for larger models when local hardware isn't enough.
Open sourceSelf-hosted
- U
Unsloth
LaunchUnsloth Desktop is the first desktop app to run and train AI models locally, with research, export and deployment from the same open-source app on Windows, macOS and Linux. Run and train LLMs and diffusion models including Kimi K3, MiniMax-
FreeOpen sourceSelf-hosted
- P

PhotoPrism
LaunchPhotoPrism® is an AI-Powered Photos App designed for the Decentralized Web. It leverages advanced technologies to automatically tag and find pictures without intruding on your workflow. You can deploy it at home, on a private server, or in
FreeOpen sourceSelf-hosted
- N

Netron
LaunchThis Snap is deprecated. Please migrate to .deb or .rpm. https://github.com/lutzroeder/netron/issues/1500
FreeOpen sourceSelf-hosted
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Univer Workspace
An open-source Office workspace where people and AI agents create, collaborate
About Moss

Moss
Real-time semantic search for Conversational AI
Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural. If you’ve ever built a conversational or voice AI product, you’ve felt the lag.
- Made by
- Moss
- Category
- AI
- Website
- moss.dev

