Kelivo
An open-source LLM client for mobile and desktop.
Use every major model in one app, give it a workspace to get real work done, and keep your data on your own device.
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💡 Overview
Kelivo is a cross-platform LLM client built with Flutter for Android, iOS, macOS, Windows and Linux. Connect your own API keys or sign in with a supported subscription, and switch between OpenAI, Gemini, Claude, DeepSeek, OpenRouter and any OpenAI-compatible service without switching apps.
Kelivo goes beyond chat. Models can search the web, call MCP servers, follow skills and remember what matters to you. Bind a conversation to a workspace and the model can read and edit files and run commands: inside a Linux sandbox on your phone, or in a native shell on your computer.
Conversations, settings and files are stored locally. Kelivo has no account system of its own; back up to WebDAV or S3-compatible storage whenever you choose.
💖 Sponsors
If Kelivo is useful to you, you can also support the project on WeChat.
📸 Screenshots
🚀 Download
The download page on the website lists the same builds.
🧭 Getting Started
- Add a model provider. Open Settings → Providers, enter an API key for a preset provider or add your own endpoint, then fetch its model list. To use a ChatGPT, Grok or Kimi Code account instead, sign in from the Accounts tab under Add Provider.
- Start a conversation. Select a model from the input bar. Turn on web search, MCP servers, tools or reasoning for the current chat from the same bar.
- Let the model work with files (optional). Open Settings → Workspace & environment and create a workspace, then bind it to a conversation from the chat. On Android and iOS, install the Linux environment on the same page first; the iOS environment is bundled with the app, so nothing is downloaded.
The User Guide (Chinese) covers providers, memory, world books and more.
✨ Features
🧠 Models and Providers
- Native protocols: OpenAI Chat Completions and Responses API, Google Gemini and Vertex AI, and Anthropic Claude, plus any OpenAI-compatible endpoint, including self-hosted models.
- Built-in presets for OpenAI, Gemini, Claude, DeepSeek, OpenRouter, SiliconFlow, Alibaba Cloud, Zhipu AI, xAI, ByteDance and more.
- Account sign-in: use a ChatGPT (Codex), Grok or Kimi Code account directly. Kelivo syncs the available models and shows your usage limits.
- Model capabilities: set input and output modalities, tool use and reasoning per model. Choose a reasoning level from off to maximum, or set a custom token budget.
- Provider-side tools, where supported: native web search, URL context, code execution, code interpreter and image generation.
- Multiple API keys per provider, with round-robin, priority, least-used or random load balancing and automatic error tracking.
- Request control: custom headers and request body at the provider, model or assistant level; HTTP, HTTPS or SOCKS5 proxy per provider; Claude prompt caching; balance lookup; automatic retry with exponential backoff.
- Organization and sharing: group providers, and share or import provider configurations as a QR code or text.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
