rasa
<h1 align="center">Rasa Open Source</h1> <div align="center"> [](https://info.rasa.com/community?utm_source=github&utm_medium=website&utm_campaign=) [](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=) [](https://badge.fury.io/py/rasa) [](https://pypi.python.org/pypi/rasa) [](https://github.com/RasaHQ/rasa/actions) [](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).