Moltis: Rust based AI assistant with memory, tools, and self-extending skills (www.moltis.org)

Moltis has introduced an innovative AI assistant built using Rust that boasts a rich feature set, including memory, self-extending skills, and a streamlined local execution environment. This tool allows users to run their AI models locally without the need for complex dependencies, enhancing accessibility and reducing security risks. With built-in authentication protocols, sandboxed browsing within Docker containers, and robust mechanisms to prevent unauthorized IP access, Moltis prioritizes both usability and security for its users. The system also supports real-time interactions with a streaming-first approach, ensuring instantaneous responses and smooth communication during lengthy tasks. Significantly, Moltis introduces advanced capabilities like long-term memory through a hybrid search system and Pi-inspired self-extension, which allows the AI to create and adapt its own skills in real-time. This opens new avenues for personalized AI experiences, making it more responsive to user needs across multiple channels, including a web UI and messaging platforms like Telegram. As a local AI solution still in its alpha phase, users are encouraged to exercise caution regarding permissions and access, representing both the promise and responsibility of leveraging AI in personal contexts.