RasaHQ/rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Rasa Open Source [](https://info.rasa.com/community?utmsource=github&utmmedium=website&utmcampaign=) [](https://hello.rasa.ai/?utmsource=github&utmmedium=website&utmcampaign=) [](https://badge.fury.io/py/rasa) [](https://pypi.python.org/pypi/rasa) [](https://github.com/RasaHQ/rasa/actions) [](https://rasa.com/docs) 🚧 Note: Maintenance Mode 🚧 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. 👉 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. 👉 Join the Community Rasa is an open source machine learning framework for automating text and voice-based conversations. With Rasa, you can build contextual assistants…
Read the full README ↗ · Preview checked 2026-10-27T14:20:25.469Z
Inside the original README — Document outline
- 🚀 The Future of Rasa: Hello Rasa
- Why switch to Hello Rasa?
- Core concepts
- 🧠 Join the Agent Engineering Community
- What you get:
- Rasa Open Source (Legacy)
- 📚 Resources
- Development Internals & Contributing
- Installation for Development
- Running Tests
- Releases
- License
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Repository facts
- Owner
- RasaHQ
- Primary language
- Python
- Stars
- 21,364
- Forks
- 4,914
- Open issues + pull requests
- 160
- License
- Apache-2.0
- Archived
- No
- Default branch
- 3.6.x
- Created
- 2016-10-14T12:27:49.000Z
- Last push
- 2026-07-24T07:39:04.000Z
Topics and intended use
Owner-supplied topics: bot, bot-framework, botkit, bots, chatbot, chatbots, chatbots-framework, conversation-driven-development, conversational-agents, conversational-ai, conversational-bots, machine-learning, machine-learning-library, mitie, natural-language-processing, nlp, nlu, rasa, spacy, wit
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.
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