Building reliable AI agents just got easier.

Hello Rasa 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.

• 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.

• 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

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.

• 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

👉 Join the Community

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 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.

• 🤓 Read the docs
• 😁 Install Rasa
• 🚀 Learn all about Conversational AI
• 🏢 Explore the enterprise platform

We are happy to receive contributions. Please review our Contribution Guidelines before getting started.

Rasa uses Poetry for packaging and dependency management.

1. Install Poetry: Follow the official guide.
2. Build from source:

   make install

   Note for macOS users: If you run into compiler issues, try export SYSTEM_VERSION_COMPAT=1 before installation.

Make sure you have development requirements installed:

make prepare-tests-ubuntu # Ubuntu/Debian
make prepare-tests-macos  # macOS
make test                 # Run tests

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.

Licensed under the Apache License, Version 2.0. Copyright 2022 Rasa Technologies GmbH. Copy of the license.