FAF is an open standard and tool for defining persistent, structured context for AI models, agents, and tools. It uses a single YAML file (.faf) to organize every 'slot' or piece of context your AI needs, enabling accurate, contextually-grounded, and drift-free operation across sessions, tools, teams, and enterprises. FAF supports bi-directional sync with other instruction formats (like .md) and integrates with major Model Context Protocol (MCP) servers and AI platforms such as Claude, Grok, Gemini, VS Code, and more. Ideal for developers and teams needing reliable, persistent context in their AI workflows.
Visit Faf's official website for product details and getting started.
Comprehensive API reference and user guides for implementing FAF.
Insights and updates on using FAF effectively in various AI applications.