LobeHub v1.19: Artifacts, Discovery, and More Models

LobeHub v1.19 is now live. This release brings a major step forward for day-to-day assistant usage, with stronger creation workflows, broader model access, and a redesigned way to discover what you can do next.

Create with Artifacts

LobeHub now replicates the core Claude Artifacts experience. You can generate and interact with rich content directly in the conversation:

SVG graphics — Generate and display vector graphics that render in real time
HTML pages — Create and preview interactive web pages without leaving the chat
Rich documents — Produce formatted documents in multiple output formats

Python code execution is also in development and planned for a future release. Once available, you will be able to combine Claude Artifacts with OpenAI Code Interpreter, further extending what you can build with your assistant.

Redesigned discovery page

The discovery page has been rebuilt with richer content categories to help you explore AI capabilities more naturally:

AI Assistant Marketplace
Plugin Showcase
Model List
Provider Introductions

The new layout raises information density while making capabilities easier to browse. We plan to expand this page further with knowledge base sharing, Artifacts showcases, and curated conversation sharing.

GitHub Models provider support

Thanks to community contributor @CloudPassenger, LobeHub now supports GitHub Models as a provider. To start using it:

Prepare a GitHub Personal Access Token (PAT)
Configure provider information in settings
Start using free models available on GitHub Models

This significantly expands the available model pool and gives you more choices for different conversation scenarios.

Improvements and fixes

Added full Artifacts support for SVG, HTML, and document generation
Redesigned discovery page with marketplace, plugins, models, and providers
Added GitHub Models provider support
Preparing Python code execution feature for upcoming release
Planned expansion of discovery page with knowledge base and Artifacts sharing

Credits

Huge thanks to community contributor @CloudPassenger for the GitHub Models integration.