SmythOS is a revolutionary platform that allows users to build AI agents in minutes without needing to write any code. By leveraging an extensive library of pre-built templates and integrating with over 1 million AI models and 300 million APIs, users can quickly create, customize, and deploy AI agents for various applications. The platform supports drag-and-drop functionality for seamless integration of different services and real-time debugging, making it accessible for both technical and non-technical users alike.

Agno AI Agent is designed to help developers quickly build autonomous agents powered by large language models. It provides a modular tool registry, memory management, planning and execution loops, and seamless integration with external APIs (such as web search, file systems, and databases). Users can define custom tool interfaces, configure agent personalities, and orchestrate complex, multi-step workflows. Agents can plan tasks, call tools dynamically, and learn from previous interactions to improve performance over time.

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.

Engine is an innovative platform that allows users to transform natural language conversations into deployed software applications. With Engine, building software becomes a seamless process that requires no coding knowledge or infrastructural setup. It streamlines development, enabling users to create applications in minutes, driven by the power of natural language understanding. It's the perfect solution for those looking to accelerate their software development cycle while reducing complexity.

Boozang AI is a Chrome extension designed to simplify test automation. The tool enables users to automate software testing by either recording their actions or writing clear-text test scripts. This approach reduces the complexity often associated with traditional testing methods, making it accessible for both novices and experienced users. By leveraging AI, Boozang AI enhances the testing process, ensuring rapid feedback and improved software quality.

BuildOwn.AI is a comprehensive guide designed to help developers build real-world AI applications using large language models. It's ideal for both beginners and experienced developers, focusing on essential AI concepts and practical applications. The guide covers topics like running models locally, prompt engineering, data extraction, fine-tuning, and advanced techniques like Retrieval-Augmented Generation (RAG) and tool automation. Whether you code in Python, JavaScript, or another language, BuildOwn.AI provides valuable insights that you can adapt to your preferred platform.

defaultmodeAGENT is a Python-based framework designed to simplify the creation of intelligent agents that perform multi-step workflows autonomously. It features default-mode planning—an adaptive strategy for deciding when to explore versus exploit—alongside seamless integration of custom tools and APIs. Agents maintain conversational memory, support dynamic prompting, and offer logging for debugging. Built on top of OpenAI’s API, it allows rapid prototyping of assistants for data extraction, research, and task automation.

Sublayer is a model-agnostic AI framework for Ruby, designed to augment the software development process. By combining Generators, Actions, Tasks, and Agents, it provides a powerful setup to build AI-powered applications. The goal is to automate and expedite code generation by recognizing patterns in your existing code, making your development workflow more efficient.

SuperPilot is an autonomous AI agent framework that leverages large language models to perform multi-step tasks without manual intervention. By integrating GPT and Anthropic models, it can generate plans, call external tools such as a headless browser for web scraping, a terminal for executing shell commands, and memory modules for context retention. Users define goals, and SuperPilot dynamically orchestrates sub-tasks, maintains a task queue, and adapts to new information. The modular architecture allows adding custom tools, adjusting model settings, and logging interactions. With built-in feedback loops, human input can refine decision-making and improve results. This makes SuperPilot suitable for automating research, coding tasks, testing, and routine data processing workflows.

Vibe Coding Template is an open-source repository that lets developers quickly spin up autonomous AI coding agents using the Vibe framework. It includes predefined prompt modules for generating new code, performing code reviews, creating unit tests, and debugging. With built-in support for CI/CD integration, customizable agent configurations, and example workflows, you can adapt the template to automate repetitive development tasks and boost team productivity.