The Best Open-Source Chatbot Projects: From Desktop Clients to Full Frameworks
Whether you want a polished chat client, a bot that lives inside your messaging apps, or a framework to build your own conversational assistant, these five projects cover the strongest options for building and running chatbots today.
Living article: rankings and health notes are re-checked against GitHub and community data. Ratings are GitPalace community ratings; stars are GitHub stars.
Chatbox is a desktop AI client for ChatGPT, Claude, and other large language models, available on Windows, macOS, and Linux. It gives you a single polished interface for chatting with multiple providers, managing conversations, and keeping your prompts organized. It's ideal for anyone who wants a native chat experience without being locked into one vendor's web app.
AstrBot is an all-in-one agent chatbot platform that plugs into mainstream instant messaging apps and connects them to a wide range of LLMs. It ships with a plugin system and a management UI, so individuals and teams can deploy a capable conversational assistant into the chat channels they already use. It suits anyone who wants a bot in Telegram, Discord, QQ, or similar without writing an integration from scratch.
python-telegram-bot is the long-standing Python wrapper for the Telegram Bot API, providing a pure-Python, asynchronous interface for building Telegram bots. It handles updates, handlers, conversations, and job scheduling so you can focus on your bot's logic. It's the go-to choice for Python developers who want a reliable, well-documented foundation for a Telegram chatbot.
Wechaty is a conversational RPA SDK that lets you write chatbot code once and run it across messaging platforms like WeChat and WhatsApp. It abstracts platform differences behind a universal interface, with SDKs in several languages beyond its TypeScript core. It's aimed at developers who need bots on messaging networks that don't offer a friendly official bot API.
FastChat is an open platform for training, serving, and evaluating LLM-based chatbots, and is the release repository behind Vicuna and Chatbot Arena. It provides a distributed multi-model serving system with OpenAI-compatible APIs and a web UI, plus tooling for benchmarking chat models against each other. It's best for researchers and engineers who want to host and compare their own chat models rather than call a hosted API.