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LLMChat is an open-source AI chat platform designed to provide a unified interface for interacting with multiple large language model providers while emphasizing privacy and advanced research capabilities. The system is built as a modern monorepo using technologies such as Next.js and TypeScript, enabling developers to deploy a full-featured web-based chatbot environment. One of its primary goals is to support sophisticated research workflows that combine conversational AI with information retrieval and reasoning tools. The platform includes specialized interaction modes such as deep research analysis and enhanced search capabilities that help users explore complex topics more effectively. It also incorporates agent-style workflows that allow the system to orchestrate multiple steps of reasoning or data retrieval during a conversation.
Features
- Unified web interface for interacting with multiple large language model providers
- Advanced research modes such as Pro Search and Deep Research
- Local browser-based storage of conversation data for enhanced privacy
- Agentic workflow system capable of orchestrating multi-step reasoning tasks
- Support for several AI providers including OpenAI, Anthropic, Google, and others
- Modern monorepo architecture built with Next.js and TypeScript
Project Samples
