Open Source Mac Chatbot Software
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Chatbot Software for Mac
View 110 business solutionsBrowse free open source Chatbot software and projects for Mac below. Use the toggles on the left to filter open source Chatbot software by OS, license, language, programming language, and project status.
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XiaoZhi AI Chatbot
Build your own AI friend
xiaozhi-esp32 is an open-source project that guides users in building their own AI-powered conversational companion using the ESP32 microcontroller. The project provides detailed instructions on assembling the hardware, setting up the software, and integrating AI models to enable natural language interactions. This DIY approach offers an accessible entry point into AI and hardware development. -
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Telegram Drive
Telegram Drive
Telegram Drive is a powerful utility that enables you to organize your telegram files and much more. Teldrive stands out among similar tools, thanks to its implementation in Go, a language known for its efficiency. Its performance surpasses alternatives written in Python and other languages, with the exception of Rust. Teldrive not only excels in speed but also offers an intuitive user interface for efficient file interaction which other tool lacks. Its compatibility with Rclone further enhances file management. -
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MindWork AI Studio
Independent cross-platform desktop app for local and cloud LLMs
AI Studio by MindWorkAI is a cross-platform desktop application designed to provide a unified interface for interacting with multiple large language model providers, both local and cloud-based. It is built with a strong focus on accessibility and democratization, enabling users to run AI workflows even on low-cost hardware while maintaining flexibility in choosing providers such as OpenAI, Gemini, Anthropic, and self-hosted solutions like Ollama or llama.cpp. The platform introduces a concept of “assistants,” which abstract prompting into reusable tools for tasks like translation, summarization, or document analysis, making it easier for non-technical users to leverage AI capabilities. It also incorporates advanced features such as retrieval-augmented generation, plugin extensibility, and support for multiple data sources, allowing users to integrate their own files and knowledge bases into conversations. -
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LLocal
Aiming to provide a seamless and privacy driven chatting experience
LLocal is an Electron-based desktop application that provides a simple and accessible interface for interacting with local large language models, particularly those served through frameworks like Ollama. It focuses on delivering a straightforward chat experience that eliminates the need for command-line interaction while maintaining compatibility with local-first AI workflows. The application leverages Electron to provide cross-platform support, enabling consistent usage across operating systems with a familiar desktop interface. Its design philosophy centers on minimalism and usability, offering core chat functionality without overwhelming users with complex configuration layers. At the same time, it retains the flexibility to connect to local model endpoints, making it suitable for developers and enthusiasts experimenting with self-hosted AI systems. Overall, llocal acts as a lightweight bridge between local LLM infrastructure and user-friendly desktop interaction. -
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MTProto
Full-native go implementation of Telegram API
Full-native implementation of MTProto protocol on Golang. All code, from sending requests to encryption serialization is written in pure Golang. You don't need to fetch any additional dependencies. -
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Ollama Grid Search
A multi-platform desktop application to evaluate and compare LLM
Ollama Grid Search is a desktop application designed to automate the evaluation and comparison of large language models, prompts, and inference parameters in a structured and repeatable way. Instead of manually testing combinations, the tool performs grid search experiments by iterating across different models, prompt variations, and parameter configurations, allowing users to quickly identify optimal setups for specific tasks. It provides a visual interface where experiment results can be inspected, compared, and refined, making it especially useful for prompt engineering and benchmarking workflows. The system integrates directly with local or remote Ollama servers, enabling seamless access to models already deployed in a user’s environment. It also includes experiment logging and A/B testing capabilities, which allow users to compare outputs side by side and track performance metrics such as latency or token usage. -
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Reins
Ollama client that simplifies experimenting with LLMs
Reins is a privacy-first, multi-platform AI client designed to simplify and enhance interaction with Ollama-based language models. It provides a highly customizable chat interface where users can configure system prompts, switch models dynamically, and adjust inference parameters such as temperature, token limits, and context size on a per-conversation basis. The application is built to run across platforms including mobile and desktop environments, making it accessible for a wide range of users who want consistent control over their AI workflows. It also includes features for editing and regenerating messages, enabling iterative refinement of outputs without restarting conversations. Reins extends beyond text by supporting image input and multimodal interactions, which expands its use cases beyond basic chat scenarios. Overall, it is best suited for users who want granular control over model behavior and experimentation while maintaining a clean and intuitive interface. -
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ConfiChat
Lightweight, standalone, multi-platform, and privacy focused local LLM
ConfiChat is a lightweight, privacy-focused chat interface designed to give users full control over their interaction with large language models across both local and cloud providers. Built as a standalone application without heavy dependencies, it emphasizes simplicity, portability, and ease of setup across multiple platforms including desktop and mobile environments. The tool supports local models such as Ollama and llama.cpp for fully offline operation, while also allowing integration with cloud APIs like OpenAI and Anthropic for access to more advanced capabilities. A key differentiator is its optional encryption of chat history and assets, ensuring that sensitive data can remain secure even when stored locally. Conversations are managed as local JSON files, giving users transparency and direct control over their data. Overall, ConfiChat is designed for users who prioritize privacy, flexibility, and independence from complex infrastructure while still maintaining access. -
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chat
chat web app for teams, sass with user management and ratelimit
chat is a team-oriented chat web application delivered as a SaaS-style system with built-in user management, rate limiting, and support for several major model providers. It is positioned as a collaborative chat platform rather than a single-user demo, which is reflected in its administrative structure, multi-user handling, and deployment-oriented documentation. The project supports OpenAI, Azure OpenAI, Claude, Gemini, and Ollama-hosted models, giving teams flexibility in how they connect model backends. Its feature set includes shareable static pages generated from conversations, searchable conversation snapshots, text file uploads, multimedia file support when the model allows it, and prompt management with shortcut-based access. The repository structure also points to both web and Flutter-based mobile components, suggesting a broader product surface than a simple browser-only interface. -
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macai
All-in-one native macOS AI chat application
macai is a native macOS AI chat application that consolidates access to multiple AI providers into a single, polished desktop interface. It is built specifically for macOS using Swift and SwiftUI, delivering a lightweight and responsive experience that integrates seamlessly with the operating system. The app supports a wide range of providers, including OpenAI, Anthropic, Google Gemini, xAI, Perplexity, and Ollama, allowing users to switch between local and cloud-based models without changing tools. It includes advanced features such as multimodal capabilities, image generation, search integration, and reasoning workflows, making it more than just a simple chat client. The application also emphasizes privacy by avoiding telemetry and offering optional iCloud synchronization for cross-device continuity. With its combination of native performance, multi-provider flexibility, and user-friendly design, macai serves as a comprehensive AI hub for macOS users. -
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Ollama JavaScript Library
Ollama JavaScript library
Ollama JavaScript is the official JavaScript client for integrating Ollama into JS and TS applications with a lightweight, developer-friendly API. It is designed around the Ollama REST API, so it feels consistent with the platform while making common tasks easier to handle in application code. The library supports standard chat interactions, text generation, embeddings, and model management, which makes it useful for both simple chat interfaces and more advanced AI-powered workflows. It works in Node.js and also supports browser usage through a dedicated browser import, which broadens where it can be deployed. Streaming responses are built in, returning an async generator so applications can render output progressively instead of waiting for a full response. It also supports cloud-hosted usage by pointing the client at Ollama’s cloud endpoint with an API key, while preserving a familiar local-first workflow for developers who want to move between local and remote execution. -
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JDA
Java wrapper for the popular chat & VOIP service
JDA strives to provide a clean and full wrapping of the Discord REST api and its Websocket-Events for Java. This library is a helpful tool that provides the functionality to create a discord bot in java. Discord is currently prohibiting the creation and usage of automated client accounts (AccountType.CLIENT). We have officially dropped support for client login as of version 4.2.0! Note that JDA is not a good tool to build a custom discord client as it loads all servers/guilds on startup, unlike a client which does this via lazy loading instead. If you need a bot, use a bot account from the Application Dashboard. Creating the JDA Object is done via the JDABuilder class. After setting the token and other options via setters, the JDA Object is then created by calling the build() method. When build() returns, JDA might not have finished starting up. However, you can use await ready() on the JDA object to ensure that the entire cache is loaded before proceeding. -
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Ollama RAG Chatbot
Chat with multiple PDFs locally
Ollama RAG Chatbot is a local-first retrieval chatbot project built to let users chat with the contents of multiple PDF documents through a simple interface. The project is framed as an experiment, but its setup and packaging make it approachable for practical local use as well. It supports running on a local machine or in Kaggle, which lowers the barrier for users who want to test RAG workflows without building everything from scratch. Model support is flexible, with compatibility for both Hugging Face models and Ollama-based models, and the interface is delivered through Gradio for a lightweight user experience. The main value of the project is its ability to process multiple PDF inputs and turn them into a question-answering workflow centered on document retrieval. With Docker support, script-based setup, optional ngrok exposure, and a clear local run path, it serves as a compact starter project for people who want a hands-on, self-hosted PDF chat system. -
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Telegram SMS
An SMS-forwarding Robot Running on Your Android Device
With the power of Telegram SMS, your multi-phone life is much easier than before. Receiving and sending SMS, relaying APP notifications, monitoring battery status. All stuff can be done with a single Telegram bot. You can use the bot in both private chat and group chat, in case you have more than 2 Android phones, or sharing the bot with other people. Telegram SMS connects with Telegram's bot API server directly, no 3rd-party services involved. -
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Ninjabot
A fast cryptocurrency platform for trading bot in Go
A fast cryptocurrency trading bot framework implemented in Go. Ninjabot permits users to create and test custom strategies for spot markets. Ninjabot is an open-source platform that provides tools to implement custom strategies and backtests for trading cryptocurrencies in Go. Ninjabot CLI provides utilities commands to support backtesting and bot development. Currently, we only support Binance exchange. If you want to include support for other exchanges, you need to implement a new struct that implements the interface Exchange. You can check some examples in the exchange directory. You can create bots in telegram accessing BotFather. Telegram bot requires that your bot is running to control and get information about your account. -
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AstrBot
Agentic IM Chatbot infrastructure
AstrBot is an AI-driven chatbot framework designed to help developers build intelligent conversational agents that can be deployed across multiple messaging environments. The project focuses on modular architecture so users can extend the bot with plugins, custom skills, and integrations without modifying the core engine. It is built to support modern large language model workflows, enabling natural language understanding, automated responses, and task execution within chat contexts. AstrBot emphasizes flexibility for both hobbyists and production scenarios, providing configuration options that allow different AI backends and deployment styles. The repository structure suggests a focus on extensibility and maintainability, making it suitable as a foundation for building personalized assistants or community bots. Overall, AstrBot aims to simplify the creation of powerful AI chat agents while remaining developer-friendly and customizable. -
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Botpress
Dev tools to reliably understand text and automate conversations
We make building chatbots much easier for developers. We have put together the boilerplate code and infrastructure you need to get a chatbot up and running. We propose you a complete dev-friendly platform that ships with all the tools you need to build, deploy and manage production-grade chatbots in record time. Built-in Natural Language Processing tasks such as intent recognition, spell checking, entity extraction, and slot tagging (and many others). A visual conversation studio to design multi-turn conversations and workflows. An emulator & a debugger to simulate conversations and debug your chatbot. Support for popular messaging channels like Slack, Telegram, MS Teams, Facebook Messenger, and an embeddable web chat. An SDK and code editor to extend the capabilities. Post-deployment tools like analytics dashboards, human handoff and more. -
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Ollama-GUI
A single-file tkinter-based Ollama GUI project
Ollama GUI by chyok is a minimalist desktop-style interface built to simplify interaction with local Ollama models through a graphical environment rather than the command line. It is implemented as a lightweight single-file application using Python and Tkinter, which means it avoids heavy dependencies and can run with minimal setup on most systems. The project focuses on usability, giving users a straightforward chat interface where they can send prompts, view responses, and manage conversations without needing to interact directly with APIs or CLI commands. It includes practical UI enhancements such as progress indicators, stop controls for generation, and contextual menus that streamline everyday workflows. Despite its simplicity, the tool still exposes important capabilities like configurable system prompts and interaction with multiple models served by Ollama. -
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Bionic GPT
Bionic is an on-premise replacement for ChatGPT
Bionic is an on-premise generative AI platform positioned as a private replacement for ChatGPT, with a strong emphasis on data confidentiality, team collaboration, and enterprise deployment. It can run locally on a laptop for small pilots, but it is also designed to scale into data center and Kubernetes environments for much larger usage. The interface is intentionally familiar, offering a ChatGPT-like experience with customizable branding, fast Rust-based performance, and conversation history management. Beyond chat, Bionic focuses heavily on enterprise RAG by letting users create AI assistants that work with their own documents, share those assistants across teams, and configure embeddings, chunking, and system prompts through the UI. The platform supports a wide variety of document types, includes data isolation features for teams, and layers in security measures such as RBAC, row-level security in Postgres, strong content security policy settings, and minimal container builds. -
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FreedomGPT
React and Electron-based app that executes the FreedomGPT LLM locally
FreedomGPT is a locally executed large language model (LLM) application built using React and Electron, allowing users to interact with AI models privately on their Mac or Windows devices. The app enables offline operation, ensuring privacy and security while providing a chat-based interface for seamless communication with the AI. It supports integration with models like Liberty Edge and offers an open-source solution for those seeking more control over their AI interactions. The app's setup is simple, and it includes clear installation guides for both macOS and Windows platforms, as well as detailed instructions for building necessary libraries like llama.cpp. -
21
DeepSeek Desktop
DeepSeek Chat desktop application based on Pake technology
DeepSeek Desktop is an unofficial open-source desktop shell for the hosted DeepSeek Chat website. Built with Pake and Tauri, it packages the web experience into a lightweight application rather than providing or running a local language model. The project targets macOS 10.15 or newer and Windows, with DMG, NSIS EXE, and MSI releases. Its frameless, resizable window provides a cleaner and more focused chat workspace than an ordinary browser tab. Developers can customize the target URL, application name, icon, and default window dimensions through the Pake configuration file. Node.js, Rust, and the Pake CLI are used for local builds, with platform-specific npm commands included. GitHub Actions automates multi-platform builds, version increments, and release publication. -
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Telegram File Stream Bot
A telegram bot that will give instant stream links for telegram files
A Telegram bot to generate direct link for your Telegram files. -
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X-UI
Lightweight Xray panel with multi-protocol and multi-user
The xray panel supports single-end multi-user and multi-protocol. Monitor and manage your agency services conveniently and quickly through free Telegram bot. -
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python-telegram-bot
A Python wrapper you can't refuse
python-telegram-bot is a library that provides a pure Python interface for the Telegram Bot API. It supports all types and methods of the API 4.8, and is compatible with all Python versions 3.5+ as well as PyPy. Apart from the pure API implementation, python-telegram-bot also offers several high-level classes contained in the telegram.ext submodule. These make bot development much easier and straightforward. python-telegram-bot is free and open source, fun to use, and fast and easy to install. Visit https://github.com/python-telegram-bot/python-telegram-bot/blob/master/examples/README.md to see official examples or the project’s wiki on https://github.com/python-telegram-bot/python-telegram-bot/wiki/Examples to see other community-built bots. -
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wa-automate-nodejs
WhatsApp tool for chatbots with advanced features
wa-automate-nodejs is the most advanced NodeJS library which provides a high-level API to control WA. Want to convert your WA account to an API instantly? You can now with the CLI. For more details see Easy API. After executing create() function, @open-wa/wa-automate will create an instance of WA web. If you are not logged in, it will print a QR code in the terminal. Scan it with your phone and you are ready to go! @open-wa/wa-automate will remember the session so there is no need to authenticate every time.
