The Best Multi-Agent Chatbot Alternatives in 2026

Lumi lets users speak or type to an AI companion designed for people with dementia or Alzheimer’s.

This app lets users chat with Gemini in a channel and request summaries or opinions about the conversation.

DocsGPT answers questions over company documents through an open-source and self-hosted retrieval-augmented generation platform.

Ask Vane questions and get responses through its artificial intelligence answering engine.

new.space lets users access models on a Mac from its phone, Mac, or web apps, alongside files and reminders.

Build dialogue systems and chatbots with DeepPavlov, an open-source NLP framework using PyTorch and transformer models.

The Mamba-Chat model supports chat and uses a state space model architecture.

Agno provides a framework and runtime for building, running, and managing agent platforms.

Hexabot combines workflows, actions, agents, and conversational channels in an AI automation platform.

joinly connects meetings with AI agents so agents can access meeting sessions.

Lemonade supports running AI locally for tasks involving text, images, and speech.

LibreChat brings AI conversations together in a unified, customizable interface.

AnythingLLM runs a private AI assistant directly on a device without accounts, API keys, or token limits.

SillyTavern provides a frontend for people who use large language models extensively.

TextFX is a deprecated AI experiment from Google Creative Lab for exploring language and text.

LLMFlows provides components for building language model applications with explicit workflows.

Petals runs large language models across distributed computers and supports fine-tuning and inference.

KoboldAI provides generative AI software optimized for fictional use, with broader capabilities described by its project.

SillyTavern is a frontend for users working with large language models.

Mando AI builds support agents that answer product, order, and policy questions and hands complex cases to staff with context.

This project describes serving an LLM as a chatbot service through a multi-agent framework.

Automatic.Chat trains a GPT-4 chatbot on a company’s data to answer repetitive customer questions.

GPTHelp.ai provides website owners with an AI chatbot for answering visitor questions.

Stammer.ai builds white-label chatbots and voice agents that answer questions, generate leads, and schedule appointments.