01 / OVERVIEW
Overview
Sdcb Chats combines a multi-model frontend with an AI gateway. It offers conversation UI, API protocols, storage choices, and management features. Choose Docker or a native package and configure the providers you need.
02 / CAPABILITIES
Key capabilities
01
Multiple model providers and compatible API protocols
02
Conversation, image, and optional tool workflows
03
Docker / native deployment and user management
03 / POSSIBILITIES
Ideas to explore
- Evaluate conversations and multimodal capabilities across model providers
- Explore a self-hosted AI frontend and API gateway
- Test tool workflows and management in your own environment
04 / GET STARTED
Getting started
Before you begin
- Docker or a matching native release as documented
- Your own model-provider, storage, and optional tool configuration
Get the project
git clone https://github.com/sdcb/chats.gitNext steps
- Choose your database and runtime using the deployment documentation.
- Configure providers and validate users, conversations, and tools.
05 / SCOPE & STATUS
Current boundaries
Capabilities, pricing, and availability depend on your model providers and configuration. Optional code-execution tools require the documented runtime setup.
This introduction is based on the public README. Consult the repository for current versions, licenses, and supported features.
Updated 2026-10-27