Rasa Core

What do Rasa Core & NLU do? 🤔 Read About the Rasa Stack
I'd like to read the detailed docs 🤓 Read The Docs
I'm ready to install Rasa Core! 🚀 Installation
I have a question ❓ Gitter channel
I would like to contribute 🤗 How to contribute

Introduction

Rasa Core is a framework for building conversational software, which includes:

chatbots on Messenger
Slack bots
Alexa Skills
Google Home Actions

etc.

Rasa Core's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa Core lets you do that in a scalable way.

There's a lot more background information in this blog post

Where to get help

There is extensive documentation:

master (if you install from github) or
stable (if you install from pypi)

Please use gitter for quick answers to questions.

How to contribute

We are very happy to receive and merge your contributions. There is some more information about the style of the code and docs in the documentation.

In general the process is rather simple:

create an issue describing the feature you want to work on (or have a look at issues with the label help wanted)
write your code, tests and documentation
create a pull request describing your changes

You pull request will be reviewed by a maintainer, who might get back to you about any necessary changes or questions. You will also be asked to sign a Contributor License Agreement

Development Internals

Running and changing the documentation

To build & edit the docs, first install all necessary dependencies:

brew install sphinx
pip install -r dev-requirements.txt

After the installation has finished, you can run and view the documentation locally using

make livedocs

Visit the local version of the docs at http://localhost:8000 in your browser. You can now change the docs locally and the web page will automatically reload and apply your changes.

License

As a reference, the following contains a listing of the licenses of the different dependencies as of this writing. Licenses of the dependencies:

required package	License
apscheduler	MIT
fakeredis	BSD
graphviz	MIT
typing	PSF
future	MIT
six	MIT
h5py	BSD
jsonpickle	BSD
keras	MIT
numpy	BSD
pandoc	MIT
redis	MIT
tensorflow	Apache Licence 2.0
networkx	BSD
pymessenger	MIT
tqdm	MIT
ConfigArgParse	MIT

haynajjar/rasa_core