Deep-Co

by succlz123

38 stars
436 downloads
Not rated
GitHub

About

A Chat Client for LLMs, written in Compose Multiplatform.

Details

Author
succlz123
GitHub stars
38
Downloads
436
Categories
Other, AI

- Desktop platform support (Windows, macOS, Linux)
- Chat with streaming and complete responses, with history
- Prompt management with user‑defined prompts
- SillyTavern character adaptation (PNG and JSON)
- MCP (Model Context Protocol) support
- Text‑to‑speech via Edge API
- i18n (Chinese/English), app color themes, dark/light themes

Download the latest release from GitHub or build from source using Gradle commands provided in the repository. After launching, configure your LLM API keys, manage prompts, and optionally set up MCP servers (requires uv and node on macOS, winget packages on Windows). You can start chatting, use chat history, and adapt SillyTavern characters.

Deep-Co

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kotlin
compose
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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

v1.0.6

Feature

- [x] Desktop Platform Support(Windows/MacOS/Linux)
- [ ] Mobile Platform Support(Android/iOS)
- [x] Chat(Stream&Complete) / Chat History
- [ ] Chat Messages Export / Chat Translate Server
- [x] Prompt Management / User Define
- [x] SillyTavern Character Adaptation(PNG&JSON)
- [x] DeepSeek LLM / Grok LLM / Google Gemini LLM
- [ ] Claude LLM / OpenAI LLM / OLLama LLM
- [ ] Online API polling
- [x] MCP Support
- [ ] MCP Server Market
- [ ] RAG
- [x] TTS(Edge API)
- [x] i18n(Chinese/English) / App Color Theme / App Dark&Light Theme

Chat With LLMs

1

Config Your LLMs API Key

2

Prompt Management

4

Chat With Tavern Character

6

User Management

5

Config MCP Servers

3

Setting

7

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

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