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Open-source conversational AI platform for building deep-domain voice interfaces and chatbots.

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About MindMeld

What It Is

MindMeld is Cisco's open-source conversational AI platform designed for building sophisticated, deep-domain voice interfaces and text-based chatbots. Originally acquired by Cisco in 2017 for $125 million and open-sourced in 2019, MindMeld powers enterprise applications including Webex Assistant and Cisco's website search. The platform provides comprehensive functionality for every step of a modern conversational workflow, from natural language understanding to dialogue management.

Who It's For

MindMeld targets developers, enterprises, and organizations building production-grade conversational applications that require domain-specific expertise. It's ideal for teams working on voice assistants, intelligent chatbots, IoT integrations, and enterprise automation solutions across industries including telecommunications, agriculture, hospitality, and smart home technology.

Key Features & Capabilities

Blueprint Templates: Pre-built conversational applications for common use cases including food ordering, video discovery, and home assistant functionality • Natural Language Understanding: Advanced NLU capabilities for parsing user intent and extracting entities in specialized domains • Voice and Text Support: Build interfaces for both voice-based interactions and text chatbots • Open-Source Framework: Full access to the platform's source code for customization and extension • End-to-End Workflow: Complete tooling for training, testing, and deploying conversational AI applications

Typical Workflows

Developers use MindMeld to build conversational applications that require deep understanding of specific domains. Examples from the MindMeld community include: network operations center automation leveraging AI for infrastructure troubleshooting, room booking chatbots for workplace management, and agricultural water conservation systems. The platform's blueprint system accelerates development by providing working examples that can be customized for specific business needs.

What Makes It Different

Unlike general-purpose chatbot builders, MindMeld focuses on "deep-domain" conversational AI—applications that need sophisticated understanding of specialized vocabularies and complex workflows. Its open-source nature provides transparency and customization capabilities uncommon in enterprise conversational AI platforms. Backed by Cisco's resources and proven in production environments like Webex, MindMeld offers both the flexibility of open source and the reliability of enterprise-tested technology.

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Platform Categories

Chatbots

Conversational AI agents for natural language interactions

AI Framework

A robust framework that offers tools, libraries, and APIs for building and training AI agents, with support for multiple models and deployment options.

Voice

Voice agents are AI-powered systems designed for voice-based interaction. They can understand, interpret, and respond to spoken commands, enabling hands-free operation for tasks such as managing schedules, controlling smart devices, handling customer service inquiries, and more.

Natural Language Processing

Utilize AI agents to process, understand, and generate human language. Applications include text analysis, sentiment analysis, chatbots, machine translation, and language generation.

Conversational AI

AI agents in the Conversational AI category focus on enabling natural, human-like interactions through text, voice, or both. These agents are used for customer service, virtual assistants, sales, education, and other applications where real-time communication enhances user experience. They leverage advanced NLP techniques to understand intent, respond accurately, and adapt to context.

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Platform Pricing

Free Tier Available

Free Model

Completely free to use with no hidden costs. Access all features without any payment required.

Prices may vary based on usage volume and selected features. Contact sales for custom enterprise pricing.

View detailed pricing on website

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