Rasa
Open Source
Open source platform
Enterprise-ready
Developer-focused
Customizable AI agents
Voice AI capabilities
Build AI agents you can trust to handle real world complexity
Last updated: Apr 15, 2026
OPEN_SOURCE
rasa.com
Quick Answer
Rasa is an open-source conversational AI platform that helps developers and enterprises build reliable, high-trust AI agents. It extends LLMs with structured logic for predictable behavior, offering features like Enterprise RAG, NLU, and voice integration. Best for technical teams and enterprises needing full control over their AI assistants for customer support, sales, and operations. A free Developer Edition is available for local use and small-scale production.
About Rasa
Rasa is an open-source conversational AI platform for developers and enterprises to build, deploy, and manage AI agents. It extends LLMs with structured flows and deterministic logic, enabling reliable automation for customer support, sales, and operational efficiency. Rasa offers full control over agent behavior and performance, with options for self-managed or managed deployments. A free Developer Edition is available for starting projects.
What Makes It Unique
Rasa's CALM (Conversational AI with Language Models) architecture separates business logic from LLMs, ensuring predictable agent behavior and making agents easier to version, test, and debug. It allows users to run their own LLMs and fine-tune them, providing complete control over logic and performance.
Use Cases & Target Users
Use Cases
Best For
Building high-trust AI agents for customer support
Automating sales enablement processes
Enhancing operational efficiency with internal AI agents
Developing secure and compliant AI experiences for regulated industries
Creating real-time voice AI experiences
Company Size
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
INTERMEDIATE
Target Team Size
SMALL_TEAM
LARGE_TEAM
Target Skill Level
INTERMEDIATE
EXPERT
Key Features
CALM (Conversational AI with Language Models) dialogue management
Enterprise RAG for real-time, verifiable information retrieval
Natural Language Understanding (NLU) with intent and entity control
Real-time voice infrastructure and Voice Gateway
Multilingual AI agent capabilities
Agent orchestration and tool connection via MCP
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Apache-2.0
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
HYBRID
Compliance & Security
GDPR Compliant
Pros
- +Provides full control over AI agent behavior and performance
- +Supports deployment on-premise or in private cloud for data sovereignty
- +Offers a flexible development experience for technical and business teams
- +Enables faster responses and cost-efficient operations compared to LLM-first frameworks
- +Includes enterprise-grade security features like PII data management and secrets management
- +Open-source core allows for extensive customization and community support
Limitations
- -Requires technical expertise for advanced customization and deployment
- -Enterprise features and premium support require a paid subscription
- -No explicit mention of a visual drag-and-drop interface for non-technical users in the core platform
- -Limited to conversational AI use cases, not a general-purpose AI platform
- -No explicit mention of specific LLM models included, users bring their own
Powered By
Base Models
spaCyCALM
Decision Intelligence
Best For
Building high-trust AI agents for customer support
Automating sales enablement processes
Enhancing operational efficiency with internal AI agents
Developing secure and compliant AI experiences for regulated industries
Creating real-time voice AI experiences
Not Ideal For
Non-technical users seeking a simple, out-of-the-box chatbot solution
Individuals or small teams without development resources for self-hosting
Users looking for a fully managed SaaS solution without any infrastructure involvement
General-purpose AI tasks beyond conversational interfaces
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality8/10
Value for Money7/10
Customization9/10
Support8/10
Integration7/10
Task Scores
Code Explanation
8
Multi Language Support
8
Context Understanding
8
Security Scanning
8
Code Completion
7
Bug Detection
7
Refactoring
7
Documentation Generation
7
Trust Score
70/100
Good
Based on 7 verified signals
Trust Signals
Verified CompanyRasa Technologies
Notable CustomersAutodesk, Groupe IMA, Swisscom +7
Funding$83.8 million
Team Size51-200
GDPR CompliantYes
HIPAA CompliantYes
Data ResidencyUS, EU
Switching & Migration
Migration Difficulty
Significant Effort
Data portable as:
API
24/7/365 Enhanced Support (Premium) / Web-based (Basic)
Quick Stats
CategoryConversational AI
PlatformsWEB, API, DESKTOP, MOBILE
Integrations9+
Views1
LaunchedJan 2016
Setup Time30 min
AddedFeb 2026
Company & Links