Deepco

Deep-Co is a cross-platform chat client developed based on Compose Multiplatform. It supports multiple LLM API providers, including OpenRouter, Anthropic, Grok, OpenAI, etc., and is compatible with OpenAI API and local models. It has functions such as chat record management, prompt management, role adaptation, TTS, etc., and supports multiple languages and theme customization.

Artificial intelligence chatbots Developer tools #Cross-platform #AI Chat #Multi-model #Open-source .kotlin

rating : 2.5 points

downloads : 175

update time : 2025-04-28

Overview

Deep Collaboration aims to provide users with a unified interface to manage and call multiple large language models. Users can easily configure and use different models through this tool and interact via an intuitive interface.

Feature Highlights

Deep Collaboration offers rich features, including model management, conversation history, prompt template library, and plugin support. Users can customize workflows and expand the tool's functionality.

Main Features

Multi-model Support

Prompt Template Library

Conversation History

Plugin System

Frequently Asked Questions

Is Deep Collaboration free?

When will mobile support be launched?

How to add a custom OpenAI-compatible API?

Can the conversation history be exported?

Usage Examples

Resource Links

GitHub Repository

View the source code and contribute to the project.

Documentation Center

Get detailed usage guides and technical documentation.

🚀 Deep Collaboration (Deep-Co)

A chat client for LLM written in Compose Multiplatform. It aims to support API providers such as OpenRouter, Anthropic, Grok, OpenAI, DeepSeek, Coze, Dify, Google Gemini, etc. You can also configure any OpenAI-compatible API or use local models via LM Studio/Ollama.

🚀 Quick Start

Deep-Co is a chat client for LLM, developed with Compose Multiplatform. It has extensive support for various API providers and the ability to use local models, offering a rich set of features for users.

✨ Features

[x] Desktop platform support (Windows/MacOS/Linux)
[ ] Mobile platform support (Android/iOS)
[x] Chat (streaming & completion) / Chat history
[ ] Chat message export / Chat translation server
[x] Prompt management / User-defined
[x] Adaptation for Crazy Tavern characters (PNG&JSON)
[x] DeepSeek LLM / Grok LLM / Google Gemini LLM
[ ] Claude LLM / OpenAI LLM / OLLama LLM
[ ] Online API polling
[x] MCP support
[ ] MCP server marketplace
[ ] RAG
[x] TTS (Edge API)
[x] Multi-language support (Chinese/English) / Application color theme / Application dark & light mode

Chatting with LLM

Configuring Your LLM API Key

Prompt Management

Chatting with Crazy Tavern Characters

User Management

Configuring the MCP Server

Settings

📦 Installation

MCP Environment Configuration

MacOS

brew install protobuf libprotoc
pip3 install protobuf

Linux

sudo apt-get update && sudo apt-get install -y \
    build-essential \
    cmake \
    git \
    unzip \
    protobuf-compiler \
    protobuf-c-compiler \
    libprotobuf-dev \
    python3-dev \
    python3-pip
python3 -m pip install protobuf

Project Structure

├── README.md                 # Project description document
├── CODE_OF_CONDUCT.md       # Open source code of conduct
├── LICENSE                  # License file
├── composer.json            # PHP dependency management
├── package.json             # JS dependency management
├── config/                 # Configuration folder
│   ├── config.js           # Main configuration file
│   └── dev_config.js       # Development environment configuration
├── public/                 # Public folder
│   ├── assets/             # Static resources
│   │   └── images/         # Image resources
│   └── index.html          # Entry HTML
└── src/                    # Source code folder
    ├── components/         # Vue components
    │   └── Header.vue      # Top navigation bar component
    ├── views/              # View components
    │   └── Home.vue        # Main page component
    └── App.vue             # Root Vue component