Rasa

Rasa is an open-source, developer platform for building enterprise AI agents with reliable behavior and trusted data. It extends LLMs with structured flows, deterministic logic, and built-in recovery patterns to manage real-world conversations. CALM extends the flexibility of LLMs with the reliability of deterministic logic, enabling scalable conversation management across channels. Rasa provides real-time voice infrastructure, memory, orchestration, and tools integration to support enterprise-grade, multi-channel agents.

Features

• Deterministic logic and structured flows
• Built-in recovery patterns for conversations
• Real-time voice infrastructure with enterprise-grade speed
• Memory, multi-turn context, and adaptable agent behavior
• Orchestration of agents and tools to deliver the right help
• MCP standardizes API connections to tools and data sources
• Real-time retrieval-augmented data (RAG) to keep answers aligned with trusted data
• Multilingual support and tone adaptation

Who Is It For?

• Developers and engineering teams building enterprise AI agents
• Enterprises needing secure, compliant AI experiences across channels
• Organizations pursuing multilingual, memory-enabled agents

Use Cases

• Customer Experience: From onboarding to loyalty, build experiences that learn and adapt
• Customer Support: Resolve routine issues quickly with automation, and make room for deeper support work
• Sales Enablement: Guide buyers with the right information at the right time to drive revenue
• Operational Efficiency: Automate processes, orchestrate systems, and free teams to focus on growth

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