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Project overview

Saga Reader is a desktop reading application that gathers online information from user-defined interests through search and RSS. It can pass collected articles to a local or cloud LLM for summarization, translation, guidance, and an interactive reading conversation. Interest prompts, source articles, and processed content are stored on the user's computer rather than in a hosted account. Retrieval still depends on available search providers, while AI processing depends on the model backend the user configures.

Project overview

PrismOS-AI is a local-first desktop assistant that uses Ollama models to work with conversations, images, and office documents while storing knowledge across sessions. Several specialized agents can debate a request before writing the result into its persistent graph, with desktop surfaces for retrieval, global access, and patterns in past interactions. It runs on Windows, macOS, and Linux, but the full experience depends on suitable hardware and locally available models.