kelivo

Project Overview

Kelivo is a cross-platform Large Language Model (LLM) chat client built with Flutter. It supports multiple AI providers and offers a modern chat interface with rich features, available on both mobile and desktop platforms.

Key Features

• Multi-platform: Android, iOS, HarmonyOS, Windows, macOS, Linux
• Multi-provider: Supports OpenAI, Google Gemini, Anthropic, and more
• Multimodal input: Supports images, text documents, PDFs, Word documents, etc.
• MCP support: Model Context Protocol integration with built-in MCP Fetch tool
• Web search: Integrated with Bing, DuckDuckGo, Exa, Tavily, and others
• Modern design: Material You design with dynamic color theming and dark mode
• Voice/TTS: Built-in system TTS plus OpenAI/Google Gemini/ElevenLabs voice servers
• Data management: Chat history backup/restore, QR code sharing for provider configs

Target Audience

• Users needing cross-platform access to multiple LLM services
• Users seeking a unified AI chat experience across mobile and desktop
• Developers and researchers with needs for AI model integration and extensibility

Quick Start

1. Download from GitHub Releases
2. iOS users can join the beta via TestFlight
3. Install and open the app
4. Configure your preferred AI provider (OpenAI, Gemini, etc.)
5. Start chatting

Core Advantages

• Cross-platform support for major mobile and desktop OSes
• Support for multiple major AI providers and MCP protocol
• Rich feature set including multimodal input, web search, and voice interaction
• Open-source under AGPL-3.0 license

System Requirements

• OS: Android, iOS, HarmonyOS, Windows, macOS, Linux