Description

Features Runs LLMs locally (Llama, Qwen, DeepSeek, etc.) with no cloud dependency 100% offline + private (no data leaves your device) Supports 1000+ models from Hugging Face ecosystem Custom AI assistants + agent workflows Built-in local API server (OpenAI-compatible) Integrations with cloud providers (optional): OpenAI, Anthropic, etc. Project-based chats, file uploads, persistent memory Optimized inference (faster + lower memory via quantization) Free (no subscription, no limits) Who it’s for Developers and AI enthusiasts who want local LLM control Privacy-focused users (no cloud, no tracking) Power users running models on their own hardware Teams experimenting with AI agents and workflows locally

Features

• Local AI Processing: All processing is done locally on your device, ensuring privacy and no data is sent anywhere.
• Open-source: The software is open-source, allowing users to inspect the code and understand its functionality.
• Fast Inference: TurboQuant enables up to 8× faster inference compared to standard models, providing real-time responses.
• Memory Efficiency: The KV cache is compressed by at least 6× without quality loss, reducing infrastructure costs.
• Persistent Memory: Users can maintain context across sessions, making it easier to manage chats and projects.
• Multiple Models: Access to over 1,000 models including Llama, Qwen, and DeepSeek, with easy downloading options.

Team

• atomicchat - Founder

Pricing

• Free: 0.00 USD