Rasa Open Source
Framework for building contextual text and voice assistants
Rasa Open Source is a machine-learning framework for building conversational AI assistants that understand natural language and manage dialogue. It is self-hosted and gives full control over models and data.
Key features
- Intent and entity NLU
- Dialogue management
- Custom actions
- On-premise deployment
Strengths
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 21.3k GitHub stars
- Written in Python
Rasa Open Source replaces
Compare Rasa Open Source
10 head-to-head comparisons.
- Rasa Open Source vs OpenClaw
- Rasa Open Source vs Hermes Agent
- Rasa Open Source vs OpenCode
- Rasa Open Source vs Hugging Face Transformers
- Rasa Open Source vs Langflow
- Rasa Open Source vs Dify
- Rasa Open Source vs PaddleOCR
- Rasa Open Source vs RAGFlow
- Rasa Open Source vs OpenHands
- Rasa Open Source vs screenshot-to-code
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