Rasa

Rasa provides an open‑source framework for developers to create conversational assistants that interpret natural language and execute business‑specific logic. The platform lets users design, version, and test agents with full visibility, supporting both visual tooling and code‑first workflows. It integrates with any large language model, invoking the model only when necessary to keep performance efficient and cost‑effective.

The system is built for enterprise‑grade deployments, offering omnichannel support including voice and IVR, and can be run on‑premises, in private infrastructure, or via partner‑managed services. It gives teams complete control over how agents reason and respond, allowing integration with existing back‑end systems and custom logic handling.

Rasa targets developers and technical product teams that need reliable, high‑trust AI agents for use cases such as customer support, internal help desks, search, and voice interactions. Its emphasis on transparency, extensibility, and scalability makes it suitable for organizations that require full oversight of conversational AI behavior in production environments.