
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
LiteChat is a productivity tool listed on OpenHunts. The listing describes it as 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.
Based on the OpenHunts listing, LiteChat works as a productivity tool. Check the project description, screenshots, and website link before trying it.
LiteChat is listed as free on OpenHunts. Check the official website for current plan limits, trials, and billing details.
LiteChat is best for people comparing productivity tools on OpenHunts, especially people using web platforms.
Use the related projects section and category pages on OpenHunts to compare LiteChat with other productivity tools by platforms, pricing, and community activity.
These tools are selected from similar categories, platforms, and community activity on OpenHunts.

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