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Compose Multiplatform chat client for LLM providers
Deep-Co is a chat client for LLMs built with Compose Multiplatform. It connects to providers like OpenRouter, Anthropic, Grok, OpenAI, DeepSeek, Coze, Dify, Gemini, and OpenAI-compatible APIs, and it can also use local models through LM Studio or Ollama. The app includes chat history, prompt management, SillyTavern character support, MCP server setup, and Edge TTS. The repository is organized as a multi-platform app with desktop, Android, iOS, and shared code modules.
People who want one chat app for several LLM providers and local models.
You can chat with different models, manage prompts, and connect MCP servers in one app instead of switching tools.
What it does
Multi-provider chat
Connects to OpenRouter, Anthropic, Grok, OpenAI, DeepSeek, Coze, Dify, and Google Gemini, plus any OpenAI-compatible API.
Local model support
Can use native models through LM Studio or Ollama.
Chat history
Supports streamed and complete chat responses with saved history.
Prompt management
Lets you create and manage your own prompts.
SillyTavern character adaptation
Supports PNG and JSON character files from SillyTavern.
MCP support
Lets you configure MCP servers and use model context protocol connections.
TTS
Includes Edge API text-to-speech support.
Cross-platform UI
Built with Compose Multiplatform for desktop and mobile targets.
How to get it
- 1Run
brew install uv brew install node
- 2Run
winget install --id=astral-sh.uv -e winget install OpenJS.NodeJS.LTS
- 3Run
./gradlew :desktopApp:run
- 4Run
./gradlew :desktop:packageDistributionForCurrentOS # outputs are written to desktopApp/build/compose/binaries
- 5Run
./gradlew :androidApp:installDebug
- 6Run
./gradlew clean :androidApp:assembleRelease # outputs are written to androidApp/build/outputs/apk/release
README
Deep-Co
A Chat Client for LLMs, written in Compose Multiplatform. Target supports API providers such as OpenRouter, Anthropic, Grok, OpenAI, DeepSeek, Coze, Dify, Google Gemini, etc. You can also configure any OpenAI-compatible API or use native models via LM Studio/Ollama.
Release
Feature
- Desktop Platform Support(Windows/MacOS/Linux)
- Mobile Platform Support(Android/iOS)
- Chat(Stream&Complete) / Chat History
- Chat Messages Export / Chat Translate Server
- Prompt Management / User Define
- SillyTavern Character Adaptation(PNG&JSON)
- DeepSeek LLM / Grok LLM / Google Gemini LLM
- Claude LLM / OpenAI LLM / OLLama LLM
- Online API polling
- MCP Support
- MCP Server Market
- RAG
- TTS(Edge API)
- i18n(Chinese/English) / App Color Theme / App Dark&Light Theme
Chat With LLMs

Config Your LLMs API Key

Prompt Management

Chat With Tavern Character

User Management

Config MCP Servers

Setting

Model Context Protocol (MCP) ENV
MacOS
brew install uv
brew install node
windows
winget install --id=astral-sh.uv -e
winget install OpenJS.NodeJS.LTS
Build
Run desktop via Gradle
./gradlew :desktopApp:run
Building desktop distribution
./gradlew :desktop:packageDistributionForCurrentOS
# outputs are written to desktopApp/build/compose/binaries
Run Android via Gradle
./gradlew :androidApp:installDebug
Building Android distribution
./gradlew clean :androidApp:assembleRelease
# outputs are written to androidApp/build/outputs/apk/release
Thanks
Files in the repo
- .github
- androidApp
- desktopApp
- gradle
- iosApp
- screenshots
- shared
- .gitignore
- .gitmodules
- build.gradle.kts
- compose-screen
- gradle.properties
- gradlew
- gradlew.bat
- README.md
- settings.gradle.kts
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