awesome-rasa
github.com/cendekia/awesome-rasa ↗Useful resources for building, improving, and deploying contextual chatbots and assistants with Rasa
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me tools resources from awesome-rasa"
Installation instructions →What's inside
Tools
- Botfront.
An intuitive open source platform to build smart assistants with Rasa.
- Botmock
A design and prototyping tool that exports Rasa stories and NLU file. Making it super easy for your design team to work with content, prototyping and testing before deploying changes to Rasa.
- Botsociety
The powerful and intuitive solution for designing conversational interfaces.
- Chatette
A powerful dataset generator for Rasa NLU, inspired by Chatito.
- Chatito
Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL.
- Rasa Chatter
A command line tool to generate, manage, convert, and even train conversation from simgus/chatette dataset to Rasa NLU format.
Community
Videos
- Rasa Masterclass Ep#1
Intro to conversational AI and Rasa.
- Rasa Masterclass Ep#2
Creating the NLU training data.
- Rasa Masterclass Ep#3
Training the NLU model: pre-configured pipelines.
- Rasa Masterclass Ep#4
Training the NLU models: understanding pipeline components.
- Rasa Masterclass Ep#5
Intro to dialogue management with Rasa.
- Rasa Masterclass Ep#6
Domain, custom actions and slots.
Showing a sample of 30 resources. View the full list on GitHub →