{"name":"Intervo: Open-Source Conversational AI Platform for Voice and Chat","description":"Intervo is an open-source platform designed for building, deploying, and managing advanced, goal-oriented AI agents for both voice and chat. It enables users to create complex, multi-step conversational workflows that understand user intent, perform tasks, and integrate seamlessly with existing systems. This versatile platform supports multimodal interactions, from real-time voice calls to web chat, making it suitable for a wide range of applications.","github":"https://github.com/Intervo/Intervo","url":"https://osrepos.com/repo/intervo-intervo","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/intervo-intervo","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/intervo-intervo.md","json":"https://osrepos.com/repo/intervo-intervo.json","topics":["JavaScript","AI","Conversational AI","Voice AI","Chatbots","Open Source","LLM","RAG"],"keywords":["JavaScript","AI","Conversational AI","Voice AI","Chatbots","Open Source","LLM","RAG"],"stars":null,"summary":"Intervo is an open-source platform designed for building, deploying, and managing advanced, goal-oriented AI agents for both voice and chat. It enables users to create complex, multi-step conversational workflows that understand user intent, perform tasks, and integrate seamlessly with existing systems. This versatile platform supports multimodal interactions, from real-time voice calls to web chat, making it suitable for a wide range of applications.","content":"## Introduction\n\nIntervo is an open-source conversational AI platform designed to help developers and businesses build, deploy, and manage advanced, goal-oriented AI agents for both voice and chat. Moving beyond simple Q&A bots, Intervo enables the creation of complex, multi-step conversational workflows that can understand user intent, perform tasks, and integrate with existing systems. This repository provides the full source code, allowing for self-hosting, customization, and extension of its capabilities.\n\n## Installation\n\nGetting Intervo up and running is straightforward, especially using Docker.\n\n### Prerequisites\n\nEnsure you have the following installed:\n*   [Docker](https://docker.com){:target=\"_blank\"} & Docker Compose\n*   [Git](https://git-scm.com){:target=\"_blank\"}\n*   [FFmpeg](https://ffmpeg.org){:target=\"_blank\"} (for audio processing)\n\n### Steps\n\n1.  **Clone the Repository**\n    bash\n    git clone https://github.com/Intervo/Intervo.git\n    cd Intervo\n    \n\n2.  **Configure Environment Variables**\n    Copy the example environment file and then edit `packages/intervo-backend/.env` to add your necessary API keys (e.g., `MONGO_URI`, `JWT_SECRET`, and any AI provider keys).\n    bash\n    cp packages/intervo-backend/.env.example packages/intervo-backend/.env\n    \n\n3.  **Start with Docker Compose**\n    bash\n    docker-compose up -d\n    \n\n4.  **Access the Application**\n    *   Frontend: `http://localhost:3000`\n    *   Backend API: `http://localhost:3001`\n    *   RAG API: `http://localhost:4003`\n\n## Examples\n\nIntervo empowers you to build sophisticated AI agents with a rich set of features:\n\n*   **Multimodal AI Agents**: Create intelligent agents that seamlessly handle both real-time voice calls and text-based web chat.\n*   **Advanced Workflow Canvas**: Visually design complex conversation flows using a node-based editor, routing users based on intent and orchestrating specialized \"sub-agents.\"\n*   **Goal-Oriented Dialogues**: Define specific, required goals for your sub-agents, ensuring tasks like collecting user emails are completed.\n*   **Powerful RAG Knowledge Base**: Train agents on your private data by uploading files, crawling websites, adding raw text, or creating structured FAQs, powered by vector search with ChromaDB.\n*   **Native Telephony & API**: Integrate deeply with Twilio for inbound/outbound calls and use a REST API to programmatically trigger calls.\n*   **Flexible LLM Integration**: Connect to various LLM providers like OpenAI, Groq, Google Gemini, and Anthropic, powered by LangChain.\n*   **Embeddable Web Widget**: Easily integrate a customizable React-based widget into any website.\n\n## Why Use It\n\nIntervo stands out as a powerful solution for developing advanced conversational AI due to several key advantages:\n\n*   **Open-Source and Customizable**: Gain full control by self-hosting, customizing, and extending the platform to fit your specific needs.\n*   **Comprehensive Feature Set**: From visual workflow design and multimodal agent capabilities to robust RAG knowledge bases and flexible LLM integration, Intervo provides all the tools required for complex AI agents.\n*   **Provider Agnostic**: Enjoy the freedom to choose best-in-class services for Speech-to-Text, Text-to-Speech, and Large Language Models, allowing you to optimize for performance and cost.\n*   **Scalable and Integrable**: With native Twilio integration, a REST API, and an embeddable web widget, Intervo is built for seamless integration into existing systems and scalable deployments.\n*   **Community Driven**: Benefit from an active community and a clear roadmap for future enhancements, ensuring continuous improvement and support.\n\n## Links\n\n*   **Website**: [https://intervo.ai](https://intervo.ai){:target=\"_blank\"}\n*   **Documentation**: [https://docs.intervo.ai](https://docs.intervo.ai){:target=\"_blank\"}\n*   **Discord Community**: [https://discord.gg/paFJtW8fkZ](https://discord.gg/paFJtW8fkZ){:target=\"_blank\"}\n*   **GitHub Repository**: [https://github.com/Intervo/Intervo](https://github.com/Intervo/Intervo){:target=\"_blank\"}","metrics":{"detailViews":4,"githubClicks":2},"dates":{"published":null,"modified":"2026-03-08T00:11:35.000Z"}}