Show HN: Soma, a local-first AI OS with 178 cognitive modules and P2P learning (github.com)

SOMA has introduced a groundbreaking local-first AI operating system designed to operate directly on users' hardware without relying on cloud services. The system boasts persistent memory and 178 cognitive modules, allowing it to engage in multi-model reasoning and self-improvement. Unlike traditional chatbots, SOMA autonomously manages its own learning processes, utilizing its unique QuadBrain architecture that fuses capabilities from various AI models, including Gemini and Ollama. This design allows SOMA to remember past interactions, synthesize new knowledge during idle periods, and interact with other SOMA instances via the Graymatter Network, a peer-to-peer mesh that enables federated learning and cognitive collaboration. The significance of SOMA lies in its approach to data privacy and user control. By keeping all data local and avoiding external data collection, it addresses common concerns about data security while enabling a rich learning environment. Key technical features include the ability to spawn autonomous agents for task execution, a drive system that fosters curiosity-driven learning, and a seamless integration of various AI functions into a cohesive user experience. This innovative architecture not only has implications for the future of personal AI systems but also encourages collaborative learning and development across the SOMA network, potentially enhancing the intelligence of all connected users as they contribute.