💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
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Updated
Oct 6, 2025 - Python
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
CakeChat: Emotional Generative Dialog System
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 repo contains implementation of different architectures for emotion recognition in conversations.
Enterprise-grade open source GUI platform for Rasa teams
RASA chatbot use case boilerplate
Dialogflow Web Integration. Supports rich components
Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.
This repository contains a new generative model of chatbot based on seq2seq modeling.
Agentic AI platform that harnesses Visual LLM Chaining to build proactive digital assistants
τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Attention-based multimodal fusion for sentiment analysis
An open source Ruby framework for text and voice chatbots. 🤖
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
Kotlin framework for conversational voice assistants and chatbots development
Self-hosted AI voice agent
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
CORE is a plug-and-play conversational agent for any recommender system.
Virtual Assistant
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