What is rasa?

57/100
Trust Score (D)
โš ๏ธ Use Caution

rasa is a AI tool that ๐Ÿ’ฌ 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. It has a Nerq Trust Score of 57/100 (D). 21.1K GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

57
TRUST SCORE
D
GRADE
21.1K
STARS
0
DOWNLOADS

What rasa Does

rasa is a agent in the AI tool category. ๐Ÿ’ฌ 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. It is published by an independent developer and has no specified license. With 21.1K GitHub stars and 0 downloads, it has a large and active community of users and contributors.

Who Should Use rasa

rasa is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=rasahq-rasa

Setup guide ยท Full safety report ยท Production review ยท Is it safe?

Safer Alternatives

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openclaw75218.2K
stable-diffusion-webui55160.7K
prompts.chat55145.8K
generative-ai-for-beginners62106.7K
ComfyUI62103.7K

Frequently Asked Questions

What is rasa used for?
rasa is a AI tool tool. ๐Ÿ’ฌ 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.
Is rasa free?
License: Check project page. rasa has 21.1K GitHub stars.
Is rasa safe?
rasa has a Nerq Trust Score of 57/100 (D). Use with caution.
What are alternatives to rasa?
Top alternatives: openclaw, stable-diffusion-webui, prompts.chat. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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