Sim is an open-source platform for visually building and deploying AI agent workflows. It provides a canvas-style environment where models, tools, data sources, logic, and integrations can be connected into executable automations instead of requiring the entire agent workflow to be coded manually.

The platform is designed for composing multi-step AI processes and connecting them to external services, APIs, and model providers. A visual workflow representation makes branching, sequencing, tool calls, and data movement easier to inspect and modify, while deployment features turn those workflows into usable automations.

Sim is useful for developers, operators, and technically minded teams that want to prototype agent workflows quickly or give non-specialists more visibility into how an automation works. It occupies the space between no-code automation and custom agent development, providing a visual layer while still targeting serious AI workflow construction and deployment.