TreeInstruct provides a framework to build hierarchical, decision-tree based prompting pipelines for large language models. Users can define nodes representing prompts or function calls, set conditional branches based on model output, and execute the tree to guide complex workflows. It supports integration with OpenAI and other LLM providers, offering logging, error handling, and customizable node parameters to ensure transparency and flexibility in multi-turn interactions.

The LLM Agents Simulation Framework enables the design, execution, and analysis of simulated environments where autonomous agents interact through large language models. Users can register multiple agent instances, assign customizable prompts and roles, and specify communication channels such as message passing or shared state. The framework orchestrates simulation cycles, collects logs, and calculates metrics like turn-taking frequency, response latency, and success rates. It supports seamless integration with OpenAI, Hugging Face, and local LLMs. Researchers can create complex scenarios—negotiation, resource allocation, or collaborative problem-solving—to observe emergent behaviors. Extensible plugin architecture allows addition of new agent behaviors, environment constraints, or visualization modules, fostering reproducible experiments.

Promtify is an advanced AI-powered platform designed to simplify content creation through customizable ChatGPT templates. Users can generate complex prompts, turning them into easy-to-use templates for seamless integration into various workflows and projects. Promtify enhances productivity by providing ready-to-use templates that cater to diverse needs such as marketing, management, education, and more. Its robust community features allow users to share, explore, and discover valuable templates, fostering collaborative innovation.

The RAG-based Intelligent Conversational AI Agent combines a vector store-backed retrieval layer with Google’s Gemini LLM via LangChain to power context-rich, conversational knowledge extraction. Users ingest and index documents—PDFs, web pages, or databases—into a vector database. When a query is posed, the agent retrieves top relevant passages, feeds them into a prompt template, and generates concise, accurate answers. Modular components allow customization of data sources, vector stores, prompt engineering, and LLM backends. This open-source framework simplifies the development of domain-specific Q&A bots, knowledge explorers, and research assistants, delivering scalable, real-time insights from large document collections.

Smartbot is an advanced, fully customizable AI assistant aimed at boosting productivity by integrating seamlessly into your daily tasks. It offers a vast library of ready-to-use prompts, access to top AI models such as ChatGPT, Mistral AI, and Claude, and premium support to enhance skills. It is ideal for professionals looking to optimize their workflow and developers seeking to visualize and test generated code. Enhance your productivity and decision-making with Smartbot's tailored and high-quality AI capabilities.

Agent4Edu is a Python-based AI agent framework designed to support teaching and learning through automated, intelligent interactions. It orchestrates multiple agents—such as question‐generation, feedback, and analytics agents—powered by large language models and domain knowledge graphs. Teachers can define curricula and knowledge sources, then deploy Agent4Edu to generate exercises, grade submissions, track learning progress, and recommend study materials. Its plugin architecture allows integration with popular LMS platforms via REST APIs or direct database connectors. Built-in tools for customizing prompts, fine-tuning models, and visualizing student performance make Agent4Edu a comprehensive solution for personalized, data-driven education.

AppAgent is an LLM-based multimodal agent framework designed to operate smartphone applications without manual scripting. It integrates screen capture, GUI element detection, OCR parsing, and natural language planning to understand app layouts and user intents. The framework issues touch events (tap, swipe, text input) through an Android device or emulator to automate workflows. Researchers and developers can customize prompts, configure LLM APIs, and extend modules to support new apps and tasks, achieving adaptive and scalable mobile automation.

BrowserAI.dev is an AI-driven browser extension and web platform that empowers users to interact with websites through natural language. It instantly summarizes lengthy pages, extracts key data, drafts emails or social media posts, translates text, autofills forms, and performs SEO analysis. With real-time contextual awareness, it understands page structure to generate accurate insights and suggestions. Professionals can streamline research and communication, marketers optimize content, and students grasp complex materials faster. BrowserAI.dev integrates with any web page, offering customizable prompts and AI model selection for tailored assistance. Its unified sidebar interface eliminates tab switching and copying content, enhancing focus and productivity.

Doc to Claude is a powerful Chrome extension designed to streamline the process of integrating PDFs with Claude.ai's AI analysis capabilities. With this extension, users can upload PDFs directly to the Claude.ai platform with just one click, eliminating the need for manual downloads and uploads. The extension also allows users to set customizable prompts for Claude to analyze their documents. It is perfect for researchers, students, professionals, or anyone looking to save time and simplify their PDF workflows. The user-friendly interface and helpful notifications ensure a smooth experience.

GPT-CodeApp provides an intuitive GUI where users type natural language descriptions (e.g., “build a React login form”) and instantly receive ready-to-use code snippets or project scaffolding. It supports major languages like JavaScript, Python, Java, C#, and more. Users can customize prompts, browse history, and export generated files. Built with Electron and React, it runs cross-platform without requiring an IDE plugin. GPT-CodeApp helps accelerate development, reduce boilerplate, and learn new frameworks by example.

SwarmZero offers a scalable, open-source environment for defining, managing, and executing swarms of AI agents. Developers can declare agent roles, customize prompts, and chain workflows via a unified Orchestrator API. The framework integrates with major LLM providers, supports plugin extensions, and logs session data for debugging and performance analysis. Whether coordinating research bots, content creators, or data analyzers, SwarmZero streamlines multi-agent collaboration and ensures transparent, reproducible results.

Inline AI is a versatile Chrome extension that integrates the capabilities of Chat GPT into your web browsing experience. Whether you need to run quick prompts, correct grammatical errors, or translate text, Inline AI provides these functionalities effortlessly. With easy right-click access and customizable prompt options, this extension enhances your productivity and writing skills. By downloading Inline AI, users can unlock the full potential of AI directly from their browser, making every interaction more efficient and intelligent.

Local LLaMA Email Agent connects to your mailbox (Gmail API or mbox), ingests incoming messages, and builds a local context with vector embeddings. It analyzes threads, generates concise summaries, and drafts reply suggestions tailored to each conversation. You can customize prompts, adjust tone and length, and expand capabilities with chaining and memory. Everything runs on your device without sending data to external services, ensuring full control over your email workflow.