SwiftGPT is a native macOS application designed to provide a smooth and efficient ChatGPT experience. By allowing users to integrate their OpenAI API keys, track conversation costs, and access a comprehensive conversation history, SwiftGPT turns AI interaction into a streamlined and user-friendly process. This specialty app is aimed at power users who appreciate a clean UI and need real-time responses from ChatGPT on their Macs.

Tiny-OAI-MCP-Agent provides a small, extensible agent architecture built on the OpenAI API. It implements a multi-cognitive process (MCP) loop for reasoning, memory, and tool usage. You define tools (APIs, file operations, code execution), and the agent plans tasks, recalls context, invokes tools, and iterates on results. This minimal codebase allows developers to experiment with autonomous workflows, custom heuristics, and advanced prompt patterns while handling API calls, state management, and error recovery automatically.

The Marketing Chrome Extension is designed to assist marketers by simplifying various aspects of digital marketing. It offers features such as automated responses, content generation, and analytics tools. Users can input their OpenAI API keys for personalized automation. With this tool, marketers can save time, track their campaigns, and improve engagement with minimal effort.

The AI Sidebar Chrome extension is designed to elevate your browsing experience by incorporating OpenAI’s GPT into your daily tasks. It allows users to update their OpenAI API key and seamlessly utilize AI for a variety of web-related tasks directly from the sidebar. This tool is ideal for those who need assistance with summarizing content, generating responses, conducting research, and more, all without having to navigate away from the current page. It ensures convenience and efficiency by keeping powerful AI tools at your fingertips during regular browsing sessions.

Crawlr is an open-source CLI AI agent built to streamline the process of ingesting web-based information into structured knowledge bases. Utilizing OpenAI's GPT-3.5/4 models, it traverses specified URLs, cleans and chunks raw HTML into meaningful text segments, generates concise summaries, and creates vector embeddings for efficient semantic search. The tool supports configuration of crawl depth, domain filters, and chunk sizes, allowing users to tailor ingestion pipelines to project needs. By automating link discovery and content processing, Crawlr reduces manual data collection efforts, accelerates creation of FAQ systems, chatbots, and research archives, and seamlessly integrates with vector databases like Pinecone, Weaviate, or local SQLite setups. Its modular design enables easy extension for custom parsers and embedding providers.

GPT Notification/Quiz - STRI is a Chrome extension that facilitates interactivity with ChatGPT on web pages. Initially intended for students to ease responses to various online quizzes, it employs your OpenAI API key and preferred AI model to offer precise answers rapidly. The extension features an interactive interface with customization options, including model selection, theme toggles, and real-time assistance functionalities. Special modes and shortcuts further streamline response automation, particularly for quizzes on the platform STRI.

llm-ReAct implements the ReAct (Reasoning and Acting) architecture for large language models, enabling seamless integration of chain-of-thought reasoning with external tool execution and memory storage. Developers can configure a toolkit of custom tools—such as web search, database queries, file operations, and calculators—and instruct the agent to plan multi-step tasks, invoking tools as needed to retrieve or process information. The built-in memory module preserves conversational state and past actions, supporting more context-aware agent behaviors. With modular Python code and support for OpenAI APIs, llm-ReAct simplifies experimentation and deployment of intelligent agents that can adaptively solve problems, automate workflows, and provide context-rich responses.

Rusty Agent is a lightweight yet powerful Rust library designed to simplify the creation of autonomous AI agents that leverage large language models. It introduces core abstractions such as Agents, Tools, and Memory modules, allowing developers to define custom tool integrations—e.g., HTTP clients, knowledge bases, calculators—and orchestrate multi-step conversations programmatically. Rusty Agent supports dynamic prompt building, streaming responses, and contextual memory storage across sessions. It integrates seamlessly with OpenAI API (GPT-3.5/4) and can be extended for additional LLM providers. Its strong typing and performance benefits of Rust ensure safe, concurrent execution of agent workflows. Use cases include automated data analysis, interactive chatbots, task automation pipelines, and more—empowering Rust developers to embed intelligent language-driven agents into their applications.

AgentRails empowers Rails developers to build intelligent agents that leverage large language models for natural language understanding and generation. Developers can define custom tools and workflows, maintain conversation state across requests, and integrate seamlessly with Rails controllers and views. It abstracts API calls to providers like OpenAI and enables rapid prototyping of AI-driven features, from chatbots to content generators, while adhering to Rails conventions for configuration and deployment.

AI Starter is a toolkit designed to simplify the creation of AI applications. It packages a variety of essential components, including OpenAI and Stable Diffusion APIs, admin dashboards, CMS, and payment integrations like Stripe. This makes it ideal for both beginners and experienced developers looking to innovate quickly. With a low-code environment, AI Starter minimizes the technical barriers that typically come with building complex AI solutions, allowing users to focus on their unique ideas and use cases without getting bogged down in the technicalities.

Autogpt is a developer-focused Rust framework for constructing autonomous AI agents. It offers typed interfaces to the OpenAI API, built-in memory handling, context chaining, and extensible plugin support. Agents can be configured to perform chained prompts, maintain conversation state, and execute dynamic tasks programmatically. Suitable for embedding in CLI tools, backend services, or research prototypes, Autogpt simplifies orchestration of complex AI workflows while leveraging Rust’s performance and safety guarantees.

BambooAI combines a collection of modular Python libraries, utilities, and templates designed to streamline the creation and deployment of autonomous AI agents. At its core, BambooAI provides flexible memory architectures—vector databases, ephemeral caches—and configurable retrieval mechanisms for RAG workflows. Developers can easily integrate tools like web search, Wikipedia lookups, file operations, database queries, and Python code execution. The framework supports major LLM APIs (OpenAI, Anthropic) as well as local model hosting. Agents can be orchestrated via a simple CLI, a RESTful service, or embedded within applications. Logging, monitoring, and error recovery features ensure reliability in production. Community-driven extensions and plugin systems make BambooAI extensible for custom domains and workflows.

Brief Bear is a browser extension created to help users swiftly summarize various online content. Using AI technology, it can condense extensive articles, blogs, and PDF reports into short and simple summaries. This tool is perfect for those who need quick insights or are overwhelmed by the sheer volume of online information. To start using Brief Bear, users need to get an API key from OpenAI. This extension aids in research, market analysis, and report creation by saving time and reducing information overload.

Minimalist Agent provides a bare-bones framework for building AI agents in Python. It leverages LangChain’s agent classes and OpenAI’s API to perform multi-step reasoning, dynamically select tools, and execute functions. You can clone the repository, configure your OpenAI API key, define custom tools or endpoints, and run the CLI script to interact with the agent. The design emphasizes clarity and extensibility, making it easy to study, modify, and extend core agent behaviors for experimentation or teaching.

ChatHub is a powerful browser extension and cloud-based service that revolutionizes the AI chatbot experience. It enables users to access and use various AI chatbots like ChatGPT, Gemini, and Claude side-by-side. The platform also supports custom chatbots through OpenAI-compatible APIs, making it a versatile tool for users who require advanced AI interactions in different contexts, whether for personal use, business, or educational purposes.

InboxIQ is a Gmail assistant designed to improve your email productivity while ensuring your privacy. It summarizes lengthy email threads into concise points, making it easier to grasp the main ideas quickly. Additionally, it can assist with follow-up questions based on email content, providing AI-powered responses. Users must provide their own OpenAI API key, which ensures that their data is handled securely and privately. The processing of emails is done locally on the user's device, and no data is stored or seen by third parties. This approach offers customization options and enhances productivity, all while prioritizing user privacy.

OLI (OpenAI Logic Interpreter) is a client-side framework designed to simplify the creation of AI agents within web applications by leveraging the OpenAI API. Developers can define custom functions that OLI intelligently selects based on user prompts, manage conversational context to maintain coherent state across multiple interactions, and chain API calls for complex workflows such as booking appointments or generating reports. Furthermore, OLI includes utilities for parsing responses, handling errors, and integrating third-party services through webhooks or REST endpoints. Because it’s fully modular and open-source, teams can customize agent behaviors, add new capabilities, and deploy OLI agents on any web platform without backend dependencies. OLI accelerates development of conversational UIs and automations.

OpenAI Agents provides a modular environment to define, run, and manage autonomous AI agents backed by OpenAI's language models. Developers can configure agents with memory stores, register custom tools or plugins, orchestrate multi-agent collaboration, and monitor execution through built-in logging. The framework handles API calls, context management, and asynchronous task scheduling, enabling rapid prototyping of complex AI-driven workflows and applications that perform tasks such as data extraction, customer support automation, code generation, and research assistance.