conversational-ui

Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

Turning web forms into conversations

🤖 A JavaScript framework to create conversational UIs

💬 Easy way to create conversation chats

A highly-customizable web-based client for Azure Bot Services.

Welcome to the Bot Framework Solutions repository which is the home for a set of templates and solutions to help build advanced conversational experiences using Azure Bot Service and Bot Framework. Microsoft Bot Framework is a comprehensive framework for building enterprise-grade conversational AI experiences.

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

Enterprise-grade open source GUI platform for Rasa teams

Create conversational conditional-logic forms with Vue.js.

An open source Ruby framework for text and voice chatbots. 🤖

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

Dialogflow Web Integration. Rich Components, Actions on Google and more

💬 Open source conversational platform to power conversations with an open source Live Chat, Messengers like Facebook Messenger, WhatsApp and more - 💎 UI from Inbox to dashboards - 🤖 Integrations to Conversational AI / NLP tools and standard enterprise software - ⚡ APIs, WebSocket, Webhook - 🔧 Create any conversational experience

Build chatbots and conversational experiences using React

💬 Easy way to create conversation chats

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

An open tool for designing, building and managing interactive dialog systems

Scalable Open Source Chatbot Platform. Build multiple Chatbots with NLP, Behavior Rules, API Connector, Templating. Developed in Java, provided with Docker, orchestrated with Kubernetes or Openshift.

Run and debug Alexa skills on the command-line. Create bots. Run them in Slack. Run them anywhere!