Intervo: Open-Source Conversational AI Platform for Voice and Chat

Introduction

Intervo 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.

Installation

Getting Intervo up and running is straightforward, especially using Docker.

Prerequisites

Ensure you have the following installed:

• Docker & Docker Compose
• Git
• FFmpeg (for audio processing)

Steps

1. Clone the Repository

   git clone https://github.com/Intervo/Intervo.git
   cd Intervo
   

2. Configure Environment Variables

   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).

   cp packages/intervo-backend/.env.example packages/intervo-backend/.env
   

3. Start with Docker Compose

   docker-compose up -d
   

4. Access the Application
   • Frontend: http://localhost:3000
   • Backend API: http://localhost:3001
   • RAG API: http://localhost:4003

Examples

Intervo empowers you to build sophisticated AI agents with a rich set of features:

• Multimodal AI Agents: Create intelligent agents that seamlessly handle both real-time voice calls and text-based web chat.
• Advanced Workflow Canvas: Visually design complex conversation flows using a node-based editor, routing users based on intent and orchestrating specialized "sub-agents."
• Goal-Oriented Dialogues: Define specific, required goals for your sub-agents, ensuring tasks like collecting user emails are completed.
• 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.
• Native Telephony & API: Integrate deeply with Twilio for inbound/outbound calls and use a REST API to programmatically trigger calls.
• Flexible LLM Integration: Connect to various LLM providers like OpenAI, Groq, Google Gemini, and Anthropic, powered by LangChain.
• Embeddable Web Widget: Easily integrate a customizable React-based widget into any website.

Why Use It

Intervo stands out as a powerful solution for developing advanced conversational AI due to several key advantages:

• Open-Source and Customizable: Gain full control by self-hosting, customizing, and extending the platform to fit your specific needs.
• 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.
• 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.
• 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.
• Community Driven: Benefit from an active community and a clear roadmap for future enhancements, ensuring continuous improvement and support.

Links

• Website: https://intervo.ai
• Documentation: https://docs.intervo.ai
• Discord Community: https://discord.gg/paFJtW8fkZ
• GitHub Repository: https://github.com/Intervo/Intervo