# rasa_core

**Repository Path**: mirrors_RocketChat/rasa_core

## Basic Information

- **Project Name**: rasa_core
- **Description**: machine learning based dialogue engine for conversational software
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-25
- **Last Updated**: 2026-02-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Rasa Core
[![Join the chat on Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/RasaHQ/rasa_core?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[![Build Status](https://travis-ci.com/RasaHQ/rasa_core.svg?branch=master)](https://travis-ci.com/RasaHQ/rasa_core)
[![Coverage Status](https://coveralls.io/repos/github/RasaHQ/rasa_core/badge.svg?branch=master)](https://coveralls.io/github/RasaHQ/rasa_core?branch=master)
[![PyPI version](https://img.shields.io/pypi/v/rasa_core.svg)](https://pypi.python.org/pypi/rasa-core)
[![Documentation Status](https://img.shields.io/badge/docs-stable-brightgreen.svg)](https://core.rasa.com/)


- **What do Rasa Core & NLU do? 🤔** [Read About the Rasa Stack](https://rasa.com/products/rasa-stack/)

- **I'd like to read the detailed docs 🤓** [Read The Docs](https://core.rasa.com)

- **I'm ready to install Rasa Core! 🚀** [Installation](https://core.rasa.com/installation.html)

- **I have a question ❓** [Gitter channel](https://gitter.im/RasaHQ/rasa_core)

- **I would like to contribute 🤗** [How 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](https://medium.com/rasa-blog/a-new-approach-to-conversational-software-2e64a5d05f2a)

## Where to get help

There is extensive documentation:

- [master](https://core.rasa.com/master/)  (if you install from **github**) or 
- [stable](https://core.rasa.com/)   (if you install from **pypi**)


Please use [gitter](https://gitter.im/RasaHQ/rasa_core) for quick answers to 
questions.



### README Contents:
- [How to contribute](#how-to-contribute)
- [Development Internals](#development-internals)
- [License](#license)

### 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](https://nlu.rasa.com/contribute.html).

In general the process is rather simple:
1. create an issue describing the feature you want to work on (or have a look at issues with the label [help wanted](https://github.com/RasaHQ/rasa_core/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22))
2. write your code, tests and documentation
3. 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](https://cla-assistant.io/RasaHQ/rasa_core)


## 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
Licensed under the Apache License, Version 2.0. Copyright 2018 Rasa Technologies GmbH. [Copy of the license](LICENSE.txt).

A list of the Licenses of the dependencies of the project can be found at
the bottom of the
[Libraries Summary](https://libraries.io/github/RasaHQ/rasa_core).