Knock introduced the Knock Agent, an AI tool for managing customer messaging resources. Built using a virtual filesystem and bash, the agent streamlines workflow management by leveraging existing CLI capabilities and enables user interaction through various platforms.
In March 2026, Knock launched the Knock Agent, designed to manage customer messaging resources effectively. This AI-powered tool streamlines creating and updating workflows, templates, and audiences, and can answer performance-related inquiries.
The agent can be invoked through multiple channels, including the Knock dashboard, Slack integrations, APIs, and the MCP server.
The development team aimed to build an agent that could seamlessly manage aspects accessible via the Knock dashboard, ensuring the generated messaging aligns with company design and data models. This required a comprehensive agent harness to contextualize operations within user accounts.
The first prototype focused on tracking workflows, a complex area with specific requirements. The team initially employed a tool-per-type pattern, linking each tool directly to a primitive function from the management API. However, they soon realized this approach wouldn't scale efficiently as it would unnecessarily clutter the agent’s context.
Seeking a more efficient design, the team drew inspiration from a Vercel blog detailing the benefits of utilizing a virtual filesystem. They realized that mapping the domain of their agent to a filesystem would streamline context discovery and management.
Knock's existing CLI capability allowed teams to manage Knock resources locally, which the team leveraged to simplify the agent's architecture, improving upon the previous tool-per-resource system.
Overall, the Knock Agent represents a significant step in customer messaging management, integrating AI capabilities with an accessible filesystem architecture. This innovation can enhance user engagement and operational efficiency within the Knock ecosystem.
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Knock introduced the Knock Agent, an AI tool for managing customer messaging resources. Built using a virtual filesystem and bash, the agent streamlines workflow management by leveraging existing CLI capabilities and enables user interaction through various platforms.