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<h1 align="center">Rasa Open Source</h1>
<div align="center">
[![Join the Agent Engineering Community](https://img.shields.io/badge/Community-Join%20the%20Discussion-blueviolet)](https://info.rasa.com/community?utm_source=github&utm_medium=website&utm_campaign=)
[![Try Hello Rasa](https://img.shields.io/badge/Playground-Try%20Hello%20Rasa-ff69b4)](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=)
[![PyPI version](https://badge.fury.io/py/rasa.svg)](https://badge.fury.io/py/rasa)
[![Supported Python Versions](https://img.shields.io/pypi/pyversions/rasa.svg)](https://pypi.python.org/pypi/rasa)
[![Build Status](https://github.com/RasaHQ/rasa/workflows/Continuous%20Integration/badge.svg)](https://github.com/RasaHQ/rasa/actions)
[![Documentation Status](https://img.shields.io/badge/docs-stable-brightgreen.svg)](https://rasa.com/docs)
</div>
<br />
<div align="center">
<h3>🚧 <b>Note: Maintenance Mode</b> 🚧</h3>
<p>
Rasa Open Source is currently in maintenance mode.
<br />
The future of building AI agents with Rasa is <b>Hello Rasa</b> and <b>CALM</b>.
</p>
</div>
<hr />
## 🚀 The Future of Rasa: Hello Rasa
**Building reliable AI agents just got easier.**
[**Hello Rasa**](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=) is our new interactive playground for prototyping AI agents. It combines LLM fluency with the reliability of business logic using our **CALM** (Conversational AI with Language Models) engine.
### Why switch to Hello Rasa?
* **No setup required:** Open the playground, pick a template (Banking, Telecom, Support), and start building in your browser.
* **No NLU training:** We have moved beyond intents. The LLM handles dialogue understanding while you define the business flows.
* **Built-in copilot:** A specialized AI assistant helps you generate code, debug flows, and expand your agent instantly.
* **Production ready:** Hello Rasa is not just a toy. Export your agent to the Rasa Platform when you are ready to scale.
### Core concepts
* **CALM:** Combines LLM flexibility with strict business logic. The LLM understands the user; the code enforces the rules.
* **Flows:** Describe logical steps (e.g., collect money, transfer funds) rather than rigid dialogue trees.
* **Inspector:** See real-time decision-making. No black boxes.
👉 **[Start building for free at Hello Rasa](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=)**
---
## 🧠 Join the Agent Engineering Community
We are building a home for people shipping real-world AI agents.
Agent Engineering is evolving faster than any single framework. This is a vendor-neutral space to discuss architectures, memory, orchestration, and safety with builders across the industry.
### What you get:
* **Network:** Meet engineers building production agents
* **Learn:** Discuss practical patterns, not just theory
* **Access:** Direct influence on the Hello Rasa roadmap and early access to features
| Channel | Purpose |
| :--- | :--- |
| **#agent-design** | Architectures, reasoning, memory, testing |
| **#showcase** | Show your builds, demos, and repos |
| **#ask-anything** | Debugging and workflow questions |
👉 **[Join the Community](https://info.rasa.com/community?utm_source=github&utm_medium=website&utm_campaign=)**
---
<br>
<br>
# Rasa Open Source (Legacy)
> **Note:** The documentation and installation instructions below apply to the classic Rasa Open Source framework. For the latest CALM-based experience, see the [Hello Rasa](#-the-future-of-rasa-hello-rasa) section above.
Rasa is an open source machine learning framework for automating text and voice-based conversations. With Rasa, you can build contextual assistants on:
- Facebook Messenger
- Slack
- Google Hangouts
- Webex Teams
- Microsoft Bot Framework
- Rocket.Chat
- Mattermost
- Telegram
- Twilio
- Your own custom conversational channels
Rasa helps you build contextual assistants that can handle layered conversations with lots of back-and-forth.
### 📚 Resources
- 🤓 [Read the docs](https://rasa.com/docs/rasa/)
- 😁 [Install Rasa](https://rasa.com/docs/rasa/installation/environment-set-up)
- 🚀 [Learn all about Conversational AI](https://learning.rasa.com/)
- 🏢 [Explore the enterprise platform](https://rasa.com/product/rasa-platform/)
## Development Internals & Contributing
We are happy to receive contributions. Please review our [Contribution Guidelines](CONTRIBUTING.md) before getting started.
### Installation for Development
Rasa uses **Poetry** for packaging and dependency management.
1. **Install Poetry**: Follow the [official guide](https://python-poetry.org/docs/#installation).
2. **Build from source**:
```bash
make install
```
*Note for macOS users*: If you run into compiler issues, try `export SYSTEM_VERSION_COMPAT=1` before installation.
### Running Tests
Make sure you have development requirements installed:
```bash
make prepare-tests-ubuntu # Ubuntu/Debian
make prepare-tests-macos # macOS
make test # Run tests
```
### Releases
Rasa follows Semantic Versioning.
* **Major**: Incompatible API changes
* **Minor**: Backward-compatible functionality
* **Patch**: Backward-compatible bug fixes
For full details on our release cadence and maintenance policy, visit our [Product Release and Maintenance Policy](https://rasa.com/rasa-product-release-and-maintenance-policy/).
## License
Licensed under the Apache License, Version 2.0. Copyright 2022 Rasa Technologies GmbH. [Copy of the license](https://www.google.com/search?q=LICENSE.txt).