Rasa
Open-source conversational AI framework with Pro & Studio tools to build secure, production-grade chat and voice assistants.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Rasa, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Rasa is an open-source conversational AI framework for building contextual assistants in text and voice. Teams use Rasa Open Source for NLU, dialogue, and channel connectors, and scale with Rasa Pro and Rasa Studio for enterprise features like governance, analytics, and a no-code UI. The platform supports on-prem or cloud deployment, integrates with messaging/voice channels and backends, and emphasizes data control, reliability, and extensibility for production CX use cases.
Key features
- conversational ai
- nlu
- dialog management
- voice assistants
- enterprise cx
- rasa studio
- rasa pro
- on-prem deployment
- calm framework
- open source
Use cases
- Building multilingual chat and voice assistants with full data control.
- Integrating assistants with channels like Slack, Twilio, and custom UIs.
- Managing enterprise deployments with governance and observability via Rasa Pro.
- Designing assistants visually with Rasa Studio and CALM-based flows.
- Running on-premises or in private cloud for compliance-sensitive workloads.