LiteChat is a modular, extensible, and privacy-focused AI chat application designed for power users, developers, and teams. It supports multiple AI providers, advanced prompt engineering, project-based organization, and powerful developer features like virtual file systems, Git integration, and a comprehensive modding system.

## ✨ Key Features

### 🔒 Privacy-First Architecture

- 100% Client-Side: All data stored locally in your browser using IndexedDB

- No Server Dependencies: Core functionality requires no backend services

- Full Data Control: Export/import your entire configuration or specific data types (conversations, projects, settings, API keys, providers, rules, tags, mods, sync repos, MCP servers, prompt templates, and agents).

### 🤖 Multi-Provider AI Support

- OpenRouter: Access to 300+ models through unified API

- OpenAI: GPT-4x, o3-mini, o4-mini, o3, o3-pro, with reasoning and tool support

- Google Gemini: Gemini Pro models with multimodal capabilities

- Anthropic Claude: Sonnet, Opus, ...

- Local Providers: Ollama, LMStudio, and other OpenAI-compatible APIs

- Advanced Features: Streaming, reasoning, tool execution, ...

### 🌐 Everyone's Favorite Features

- Send text files to any LLM: Even those who say they do not support file uploads

- Multimodal support: If a model support a file type, you can send it to it

- Auto title generation: The AI will generate a title for your conversation

- Conversation export: Export your conversation to a file

- Message regeneration: When the model falls on its face, you can regenerate the message

- Conversation Sync: Sync conversations with Git repositories for a "poor man" no thrill sync solution.

- Prompt Library: Create, manage, and use reusable prompt templates

### 💻 Power User Features

- Workflow Automation: Create, save, and execute multi-step AI workflows with automated sequences, variable mapping, and intelligent orchestration

- Agents: Create, manage, and use powerful AI agents and their associated tasks.

- Tool System: AI can read/write files, execute Git commands, and more, including tools from MCP servers.

- Text Triggers: Powerful inline commands for prompt automation (e.g., @.rules.auto;, @.tools.activate vfs_read_file;, @.params.temp 0.7;)

- Race: you can send the same prompt to multiple models at once and see the results

- Mermaid Diagrams: Real-time diagram rendering with full Mermaid.js support

- Response editor: edit the response after it has been generated to remove the fluff and save on tokens

- Rules: you can add rules to the AI to guide its behavior, tags are here to bundle rules together

- Regenerate with: regenerate the message with a different model

### 🛠️ Developer-Focused Features

- Code Block Enhancements: Filepath syntax, individual downloads, ZIP exports

- Codeblock editor: you can edit the codeblock content directly in the browser, and use it in the follow up chats !

- Virtual File System: Browser-based filesystem with full CRUD operations

- Git Integration: Clone, commit, push, pull directly in the browser

- Structured Output: you can ask the AI to return a structured output, like a JSON, a table, a list, etc. (untested ^^')

- Formedible codeblock: LLMs can use the formedible codeblock to create a form to interact with the user in a deterministice maner using the [Formedible](https://github.com/DimitriGilbert/Formedible) library.

> If you have a 1000 LoC to spare, you can create you own custom Codeblock renderer see [FormedibleBlockRendererModule](src/controls/modules/FormedibleBlockRendererModule.ts) for an example.

### 📁 Project Organization

- Hierarchical Projects: Organize conversations in nested project structures

- Per-Project Settings: Custom models, prompts, and configurations

- Rules & Tags: Reusable prompt engineering with organization

### 🔌 MCP (Model Context Protocol) Integration

- HTTP and Stdio MCP Servers: Connect to external MCP servers via HTTP Server-Sent Events, HTTP Stream Transport and Stdio (via [node ./bin/mcp-bridge.js](./bin/mcp-bridge.js))

- Automatic Tool Discovery: Tools from MCP servers are automatically available to the AI

- Graceful Error Handling: Configurable retry logic with exponential backoff

- Connection Management: Real-time status monitoring and manual retry capabilities

- Secure Authentication: Support for custom headers and API key authentication

### ⚙️ Extensibility & Customization

- Modding System: Safe, sandboxed extension API for custom functionality

- Control Modules: Modular UI components with clean separation of concerns

- Event-Driven Architecture: Decoupled communication for maintainability

- Build-Time Configuration: Ship with pre-configured setups for teams/demos

- Custom Themes: Full visual customization with CSS variables