Agent Frameworks

Rasa

Machine learning framework for automating text and voice-based conversations.

Status
Generally available
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Rasa is a machine learning framework that enables developers to build AI-powered chatbots and voice assistants. It provides tools for natural language understanding (NLU) and dialogue management, allowing for the creation of sophisticated conversational experiences.

Rasa stands out as an end-to-end open-source framework, offering full control over NLU and dialogue management, making it ideal for developers who need customization and flexibility.

When it fits — and when it doesn’t

A good fit for

  • Teams that need full control over their conversational AI models and can handle self-hosting

  • Projects requiring customization of NLU and dialogue management components

  • Developers who prefer open-source solutions with extensive community support

Look elsewhere if

  • Teams looking for a fully managed service without the need to host or maintain infrastructure

  • Projects that require real-time analytics and monitoring features not provided by Rasa out-of-the-box

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited out-of-the-box integrations with popular platforms

    Requires custom setup for integration with major messaging and voice platforms like Slack, Facebook Messenger

  2. 02

    Performance issues at scale

    Scalability concerns reported in large-scale deployments due to resource-intensive model training and inference processes

What it does well

  • End-to-end open-source framework for building conversational AI

  • Customizable NLU and dialogue management models

  • Supports both text and voice-based interactions

  • Extensive documentation and community support

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Rasa

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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