4 repos
Tools and frameworks for building AI applications that prioritize user privacy through local processing, offline-first architectures, and minimal data transmission. The cluster spans screen capture automation (screenpipe), knowledge management systems, AI agent infrastructure, and LLM integration patterns—with a strong emphasis on Rust and Python implementations that enable private, on-device AI workflows. Common patterns include MCP (Model Context Protocol) support for extensibility and local-first design principles that keep sensitive data off remote servers.