FAF is a tool designed to persist and manage AI context seamlessly across different sessions, models, tools, teams, and even enterprises. It uses a structured YAML file format (.faf) to capture every required slot for AI workflows, enabling fast, universal context handoff, and automatic generation of AI agent instruction files. Its compatibility with leading AI tools (Claude, Grok, Gemini, Cursor, etc.) and MCP servers makes it ideal for developers, teams, or enterprises wanting to orchestrate and maintain context across heterogeneous AI systems.