How Knock built an AI agent for customer messaging using bash and a virtual file system
Knock shares the technical architecture behind their AI agent (Knock Agent) for managing customer messaging resources. The agent was built using bash, a virtual file system (VFS), and their existing management API. The post details how they modeled resources as files in a VFS, used bash as the agent's interface for tool execution, and leveraged the management API for operations. The approach prioritizes simplicity, debuggability, and developer familiarity over complex agent frameworks.
Key quotes
Our vision was to create an agent that feels natural to use while being deeply integrated with Knock's platform.
By modeling resources as files in a virtual file system, we could leverage the simplicity and power of bash commands.
We chose bash not because it's trendy, but because it's the most universal interface for developers to interact with systems.
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