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Chatless is a lightweight, local-first desktop AI chat client built with Tauri 2.0 and Next.js. It connects to cloud AI providers including OpenAI, Anthropic, and DeepSeek, as well as locally hosted models through Ollama and LM Studio. The application stores conversation data locally to give users greater control over their information. It supports document parsing for PDF, Word, and Markdown files, enabling conversations involving imported content. A retrieval-augmented generation system uses vector search to retrieve relevant information from local knowledge bases. Vision-capable models can analyze images, while Model Context Protocol integration extends functionality through external tools. Users can organize reusable prompts and synchronize them across devices through WebDAV. Chatless supports Windows, macOS, and Linux.
Features
- Multiple cloud AI providers and local model connections through Ollama and LM Studio
- Local conversation storage with an offline-first, privacy-focused architecture
- PDF, Word, and Markdown document parsing for AI-assisted content analysis
- Retrieval-augmented generation with vector search across local knowledge bases
- Image understanding through vision models and external tool integration using MCP
- Reusable prompt management with WebDAV synchronization across multiple devices
Project Samples
