Rasa
Overview
Open-source conversational AI framework with Pro & Studio tools to build secure, production-grade chat and voice assistants.
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.
AI Agent Store research
What the evidence says about Rasa
Rasa is best understood as an agent-development framework. Create AI agents you can trust with Rasa’s powerful platform, designed to scale, customize, and support real business needs across channels.
Last reviewed July 30, 2026
Verified capabilities
- Agent application development
Create AI agents you can trust with Rasa’s powerful platform, designed to scale, customize, and support real business needs across channels.[1]
Where it fits best
- Building multilingual chat and voice assistants with full data control.[1]
Sources and research method (1)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- Rasa | Build Trustworthy AI Agents for Real-World UseOfficial site · checked 2026-07-30
Autonomy level
54%
Comparisons
Custom Comparisons
Some of the use cases of Rasa:
- 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.
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Popularity level: 75%
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Describe the job. Get an AI worker you can actually message.
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