Browse free open source ChatGPT Apps and projects below. Use the toggles on the left to filter open source ChatGPT Apps by OS, license, language, programming language, and project status.
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
The Ultimate Copilot on Your Desktop
React and Electron-based app that executes the FreedomGPT LLM locally
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vincuna, etc.
Desktop application of Bing's AI-powered chat (Windows, Mac, Linux)
One-Click to deploy well-designed ChatGPT web UI on Vercel
A ChatGPT web client that supports multiple users, and databases
Powerful tool that lets you create and run intelligent agents
An implementation of model parallel GPT-2 and GPT-3-style models
A Java client for the ChatGPT API
Implementation of model parallel autoregressive transformers on GPUs
Open source personal AI Assistant for Linux, Windows and Mac
Swirl queries any number of data sources with APIs
Locally run an Instruction-Tuned Chat-Style LLM
Node.js client for the official ChatGPT API. 🔥
Reverse engineered API of Microsoft's Bing Chat
OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go
OSS standalone ChatGPT client
Multimodal AI Story Teller, built with Stable Diffusion, GPT, etc.
Alfred workflow using ChatGPT, DALL·E 2 and other models for chatting
GPT-powered chat for documentation search & assistance
Voice dialogue, role-playing, multi-topic discussion, picture creation
Python package to easily retrain OpenAI's GPT-2 text-generating model
API for the GPT-J language mode. Including a FastAPI backend
Use ChatGPT On Wechat via wechaty
Open source ChatGPT apps are a type of natural language processing (NLP) technology that allow users to have a conversation with an app like they would with another person. The idea is to create a virtual companion powered by artificial intelligence (AI) that can understand human language and respond in kind. This type of technology has been used primarily in chatbots, but has recently been applied to online customer service applications as well.
At its core, open source ChatGPT is based on the concept of machine learning, which means it can learn from user interactions and adjust its responses accordingly. It also relies heavily on natural language understanding (NLU), which allows it to interpret human speech and recognize concepts such as intent, entities, and emotion. Once these elements are understood, the app can generate appropriate responses.
In order for an open source ChatGPT app to be effective, developers must carefully design the conversation model – this includes selecting an appropriate dataset (used for training purposes), setting up appropriate rules within the model itself and defining how conversations naturally flow between users and machines. Additionally, developers must also ensure their application uses a strong corpus – or collection of words – so that it can accurately understand what people Saying? All these components work together to create an intelligent chatbot capable of responding to a variety of contexts while adjusting its answers over time as conversations evolve.
Finally, open source ChatGPT apps benefit from using frameworks such as TensorFlow or PyTorch – both provide machine-learning models for NLP applications such as voice recognition tools or dialogue systems. With these frameworks at their disposal developers have access to powerful tools designed specifically for creating smart assistants capable of engaging in meaningful conversations with users.
Open source ChatGPT apps are completely free and cost nothing at all. This is because they are open-source, meaning that anyone has access to the code and can create their own versions of the application. Open source software also means that anyone can contribute to the development of the application, making it more efficient or adding new features. It is a fantastic option for those looking for an inexpensive way to build chatbot applications without having to invest in complex software engineering tasks. With open source ChatGPT apps, you don’t need specialized skills or resources to get started – just your ideas and enthusiasm.
Open source ChatGPT apps can be integrated with a variety of software types, including web development frameworks and libraries, serverless solutions, enterprise grade messaging applications, analytics tools, databases, and machine learning platforms. This type of integration enables ChatGPT apps to be more easily connected to existing software architectures. For example, web development frameworks such as Angular or React can provide the UI components that are used to create the user interface for a chatbot application. Furthermore, because open source ChatGPT apps are designed to interact with an external service then serverless solutions like Amazon Web Services (AWS) Lambda or Azure Functions could be used to process data or carry out complex tasks. Message brokers such as RabbitMQ or Apache Kafka could also be used so that chat messages can be routed between different services in order to achieve desired outcomes. Additionally, analytics tools like Google Analytics enable developers to monitor user engagement data while databases like MongoDB let them store and retrieve useful information during conversations. Finally, machine learning platforms provide the artificial intelligence capabilities necessary for implementing more advanced features within a ChatGPT app (e.g., natural language understanding).
Getting started with open source ChatGPT apps is fairly straightforward. First, users will need to download the appropriate software for their device (e.g., Windows, MacOS, Linux, etc.). Once the software is installed, users can launch the app and connect to any compatible chatbot service. This can be done by registering a new account or logging in using an existing account from another provider such as Slack or Discord.
Once they are logged in, users will find a number of features and options available to them depending on which specific app they are using. For example, some may allow users to customize responses within set parameters or add additional commands or triggers. Additionally, most apps will provide basic tutorials that help guide novice users through all of the features available so they are able to get up and running quickly and easily with minimal technical knowledge required.
Once they have familiarized themselves with how the app works, users may choose to explore more advanced features such as customizing conversation models, natural language processing (NLP) accuracy optimization capabilities such as entity extraction and dialogue history tracking, analytics tools for reporting performance metrics uploads/downloads from external sources if desired , etc. Depending on their specific needs and preferences this could take anywhere from a few minutes to several hours but either way it should be relatively easy even for beginners after getting through setup.
In short, getting started with open source ChatGPT apps is not too difficult; all that's needed is a decent internet connection as well as an appropriate software package downloaded onto your device of choice (e.g., Windows PC/MacBook/Linux computer). From there you simply need create an account or log in using an existing one before exploring tutorials and other customization options until you become comfortable enought o start utilizing advanced features - though this last step isn't necessary if you just want basic functionality right away.