What is Deep-Co?
Deep-Co is a chat client designed for interacting with various Large Language Models (LLMs) using Compose Multiplatform. It supports multiple API providers, allowing users to chat with advanced AI models.
How to use Deep-Co?
To use Deep-Co, install the necessary dependencies for your operating system, configure your LLM API keys, and run the application to start chatting with LLMs.
Key features of Deep-Co?
- Chat with multiple LLMs including DeepSeek, OpenAI, and others.
- Maintain chat history for reference.
- Support for Model Context Protocol (MCP).
- Dark/Light theme options for user preference.
Use cases of Deep-Co?
- Engaging in conversations with AI for information retrieval.
- Utilizing LLMs for creative writing assistance.
- Experimenting with different AI models for research purposes.
FAQ from Deep-Co?
- What LLMs does Deep-Co support?
Deep-Co currently supports DeepSeek and is compatible with OpenAI and other LLMs through API configuration.
- Is Deep-Co free to use?
Yes! Deep-Co is open-source and free to use.
- How do I install Deep-Co?
Follow the installation instructions provided in the documentation for your specific operating system.
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
