conversational-agents

💬 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

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.

Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations

τ-Bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

CakeChat: Emotional Generative Dialog System

This repo contains implementation of different architectures for emotion recognition in conversations.

Attention-based multimodal fusion for sentiment analysis

This repository contains a new generative model of chatbot based on seq2seq modeling.

RASA chatbot use case boilerplate

Agentic AI platform that harnesses Visual LLM Chaining to build proactive digital assistants

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

CORE is a plug-and-play conversational agent for any recommender system.

Dynamic evolution agent system with multi-session memory for realistic seeker simulation in psychological counseling.

GoalChain for goal-orientated LLM conversation flows

Open benchmark on observability tasks built on Harbor

Source codes and dataset of Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond

Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate

Self-hosted AI voice agent