🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

The conversational control layer for customer-facing AI agents - Parlant is a context-engineering framework optimized for controlling customer interactions.

Open-source framework for conversational voice AI agents

Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents

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

Git Based Memory Storage for Conversational AI Agent

Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state management, and observability.

Conversational voice AI agents

Open-source framework for developing real-time multimodal conversational AI agents.

An AI-powered conversational agent for recommending over-the-counter medications based on user symptoms and needs. Built with Python and integrates a lightweight NLP backend.

DeepPavlov Dream is a free, open-source Multiskill AI Assistant Platform built using DeepPavlov Conversational AI Stack. It is built on top of DeepPavlov Agent running as container in Docker. It runs on x86_64 machines, and prefers having NVIDIA GPUs on the machine.

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

A JavaScript repository for integrating ElevenLabs Conversational AI agents with Twilio to handle both inbound and outbound calls. This integration supports sending custom parameters for personalised conversations.

A solution accelerator project harnessing the capabilities of Azure AI Language to augment an existing Azure OpenAI RAG chat app. Utilize Conversational Language Understanding (CLU) and Custom Question Answering (CQA) to dynamically improve a RAG chat experience.

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.

Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.

Voice Agent Framework for Conversational AI

A modular AI agent framework built with FastAPI (backend) and TypeScript (frontend), integrating LangChain/LangGraph-based agents for conversational intelligence, reasoning, and tool orchestration.

The ChatBotKit Node SDK offers a JavaScript-based platform for effortlessly building conversational AI bots and agents.

Pipecat framework based orchestrator for building real-time, voice-enabled, and multimodal conversational AI agents

AI-Powered Conversational Map Agent. Inspired by smartmap.space | 对话式地图智能体

A production-ready voice agent implementation using LiveKit and Python, featuring advanced conversational AI capabilities and optional telephony integration. It provides intelligent turn detection, function calling, comprehensive logging, telephony integration, and audio enhancement.

This is a Next js project that implements a conversational AI Agents using ElevenLabs' SDK. The application features a voice assistant interface that allows users to interact with the AI through voice commands.

Transform your Apple Health data from a static PDF graveyard into conversational AI intelligence. Multi-agent system using Claude Desktop + Snowflake Cortex for natural language health analytics. Ask 'What's my cholesterol trend?' and get instant insights from years of data

A full-stack conversational AI starter kit built with Amazon Bedrock AgentCore, Strands Agents SDK, FastAPI, and htmx.

A chatbot (also known as a talkbot, chatterbot, Bot, IM bot, interactive agent, or Artificial Conversational Entity)The classic historic early chatbots are ELIZA (1966) and PARRY (1972).More recent notable programs include A.L.I.C.E., Jabberwacky and D.U.D.E (Agence Nationale de la Recherche and CNRS 2006). While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. In 1984, a book called The Policeman's Beard is Half Constructed was published, allegedly written by the chatbot Racter (though the program as released would not have been capable of doing so). One pertinent field of AI research is natural language processing. Usually, weak AI fields employ specialized software or programming languages created specifically for the narrow function required. For example, A.L.I.C.E. uses a markup language called AIML, which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so called, Alicebots. Nevertheless, A.L.I.C.E. is still purely based on pattern matching techniques without any reasoning capabilities, the same technique ELIZA was using back in 1966. This is not strong AI, which would require sapience and logical reasoning abilities. Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval. Chatbot competitions focus on the Turing test or more specific goals. Two such annual contests are the Loebner Prize and The Chatterbox Challenge (offline since 2015, materials can still be found from web archives). According to Forrester (2015), AI will replace 16 percent of American jobs by the end of the decade.Chatbots have been used in applications such as customer service, sales and product education. However, a study conducted by Narrative Science in 2015 found that 80 percent of their respondents believe AI improves worker performance and creates jobs.[citation needed] is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods. Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, thereby passing the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database. The term "ChatterBot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.Today, most chatbots are either accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities. Background

AgenticRAG is an advanced AI-powered retrieval-augmented generation (RAG) Agent designed to provide users with an interactive and intelligent conversational experience

一个LLM-Agent与PPT项目，支持基于对话式需求进行操作PPT的原生AI应用项目。模型为DeepSeek，基于LLM+VBA调用进行文档操作，轻量级ChatPPT服务。An LLM-Agent and PPT project that supports native AI application projects that operate PPT based on conversational requirements. The model is DeepSeek, which is a lightweight ChatPPT service based on LLM+VBA calls for document operations.

RedNote(XiaoHongShu) became the #1 alternative when TikTok faced bans — but no AI tool writes native RedNote copy. This conversational agent does, through a multi-turn brief, not a prompt box.