AI Agents & Automation

Trip Planner is an open-source project leveraging the CrewAI framework to automate the complex process of trip planning. It orchestrates autonomous AI agents that collaborate to select optimal travel destinations and construct detailed itineraries tailored to user preferences. The tool is designed to demonstrate how the CrewAI framework can be used to build real-world applications, allowing users to experiment with different options for their trips. It supports integration with various language models, including GPT-4 (default), GPT-3.5, and local models like Ollama, offering flexibility in deployment and customization. This example provides a practical guide for developers and enthusiasts looking to implement AI agent-based solutions for workflow automation.

Orby AI, now a Uniphore Company, significantly enhances Uniphore’s Business AI Cloud by integrating advanced AI capabilities. It brings deep research expertise, Large Action Models (LAMs), neuro-symbolic reasoning, and agentic process discovery to the platform. The team includes top AI research and engineering talent from DeepMind and Google, ensuring cutting-edge innovation. Orby AI focuses on automating complex enterprise workflows and tasks that typically require human judgment, allowing businesses to achieve greater efficiency and focus on strategic initiatives. This acquisition strengthens Uniphore's ability to orchestrate intricate workflows and push the boundaries of Business AI.

AutoAgent is a fully-automated and zero-code LLM agent framework designed to democratize AI development. It allows users to create and deploy sophisticated LLM agents and multi-agent systems purely through natural language, eliminating the need for manual coding or technical configuration. Key features include natural language-driven agent building, self-managing workflow generation that dynamically adapts based on high-level task descriptions, and intelligent resource orchestration for iterative self-improvement. AutoAgent supports various LLM providers and offers a user mode for deep research agents, an agent editor for single agent creation, and a workflow editor for multi-agent systems. It aims to make AI agent development accessible to anyone, regardless of their coding experience.

DI-star is an open-source artificial intelligence platform specifically developed for StarCraft II, enabling large-scale distributed training and featuring grand-master level AI agents. The project includes playable demos, pre-trained supervised learning (SL) and reinforcement learning (RL) agents, and comprehensive training code for both SL and RL. Users can test agents against human players, other AI agents, or built-in bots. The platform supports building custom agents within its framework and offers guidance for training new agents, including distributed training setups for both supervised and reinforcement learning. It is designed for technical users interested in game AI development and research.

Raycast Pro is a comprehensive productivity tool designed to elevate the macOS experience. It integrates AI directly into the operating system, allowing users to ask questions, automate tasks, and get assistance with coding or writing emails. The platform supports a wide array of AI models from providers like OpenAI, Anthropic, Perplexity, and more, giving users flexibility in choosing models based on speed or intelligence requirements. Beyond AI, Raycast Pro offers essential features such as seamless Cloud Sync to keep settings and data consistent across multiple Macs, unlimited Clipboard History, and advanced Custom Window Management. Users can also personalize their interface with Custom Themes or create their own. It aims to boost productivity by providing a centralized hub for various tasks, from quick translations to organizing notes, making it an indispensable tool for individuals and teams looking to optimize their workflow.

llama-swap is a robust AI Agents & Automation tool designed for reliable model swapping across local OpenAI and Anthropic compatible servers, including llama.cpp and vllm. It allows users to run multiple generative AI models on their machine and hot-swap between them on demand. Built in Go for performance and simplicity, llama-swap boasts zero dependencies and is incredibly easy to set up with just one binary and one configuration file. It supports a wide range of OpenAI and Anthropic API endpoints, as well as specific endpoints for llama-server and SDAPI. The tool also includes a real-time web UI with a playground for testing models, viewing token metrics, and monitoring logs, making it a comprehensive solution for managing local AI workflows.

Magentic-UI is a research prototype of a human-centered AI agent designed to automate complex web and coding tasks that may require monitoring. Unlike black-box agents, the system reveals its plan before executions, lets users guide its actions, and requests approval for sensitive operations while browsing websites, executing code, and analyzing files. Key features include co-planning for collaborative plan creation, co-tasking for guiding execution, action guards for sensitive operations, and plan learning/retrieval to improve future automation. It supports integration with Microsoft's Fara-7B model and offers flexible configuration for various LLM clients like Azure OpenAI and Ollama, making it a versatile platform for studying human-agent interaction.

Alrite is a company dedicated to developing innovative AI applications, with a current focus on tools such as Rizzpad and PetCoco. These applications are crafted to streamline and enhance various aspects of daily life for users. Alrite emphasizes creating user-friendly AI solutions that are accessible and beneficial for a wide range of consumer applications. The company aims to integrate artificial intelligence seamlessly into everyday routines, making advanced technology practical and easy to use for everyone.

Bonza.Chat is an advanced AI platform designed for creating and interacting with personalized virtual AI companions. Users can customize their AI's appearance, personality traits, communication style, and interests to craft their ideal digital partner. The platform supports uncensored conversations, remembers past interactions for a more natural experience, and offers features like AI image generation. It functions directly in a web browser, making it accessible across various devices without requiring app downloads. Bonza.Chat provides a free plan for basic chat and offers premium subscriptions for unlimited messaging, advanced features, and NSFW content, focusing on emotional connection and personalized digital relationships.

DeepResearcher is an open-source framework designed to scale deep research by training LLM-based agents using reinforcement learning in real-world web environments. This comprehensive tool facilitates end-to-end training, allowing agents to engage in authentic web search interactions. Qualitative analysis of the framework reveals emergent cognitive behaviors, including the ability to formulate plans, cross-validate information from multiple sources, self-reflect to redirect research, and maintain honesty when definitive answers are unavailable. DeepResearcher demonstrates significant performance improvements over prompt engineering and RAG-based baselines, emphasizing the critical role of end-to-end training in real-world settings for developing robust research capabilities.

DiffusionDrive is a cutting-edge AI agent tool that introduces a novel truncated diffusion model specifically designed for real-time end-to-end autonomous driving. This innovative approach significantly enhances performance, achieving a 10x reduction in diffusion denoising steps, 3.5 times higher PDMS on NAVSIM, and 64% higher mode diversity compared to traditional diffusion policies. Accepted as a CVPR 2025 Highlight, DiffusionDrive demonstrates record-breaking 88.1 PDMS on the NAVSIM benchmark with a ResNet-34 backbone, all while operating at a real-time speed of 45 FPS. It is highly flexible, allowing integration with onboard sensor data and existing perception modules, making it a robust solution for developing advanced autonomous driving systems.

ego-planner-swarm is an open-source, efficient single/multi-agent trajectory planner specifically designed for multicopters. This tool extends the capabilities of EGO-Planner for swarm navigation, offering a fully autonomous and decentralized solution for multi-robot navigation in complex, unknown environments using only onboard resources. It supports ROS integration and is compatible with Ubuntu 16.04, 18.04, and 20.04, with a dedicated ROS2 version available on a separate branch. Developers can easily compile and run simulations, with options to configure for GPU usage for depth image generation or CPU for broader compatibility. The project also provides recommendations for optimizing CPU performance for stable computation times, making it a robust solution for advanced robotics development.

Fara-7B is Microsoft's first agentic small language model (SLM) specifically engineered for computer use. With only 7 billion parameters, it offers an ultra-compact solution for automating multi-step tasks on behalf of users. Unlike traditional chat models, Fara-7B interacts with computer interfaces visually, perceiving webpages and performing actions like scrolling, typing, and clicking directly on predicted coordinates without relying on accessibility trees. This design allows for efficient on-device deployment, reducing latency and enhancing privacy by keeping user data local. Fara-7B completes tasks efficiently, averaging only ~16 steps per task, and achieves state-of-the-art performance within its size class, competing with larger agentic systems. It is trained on 145K trajectories using a novel synthetic data generation pipeline built on the Magentic-One multi-agent framework, and is based on Qwen2.5-VL-7B with supervised fine-tuning.

Peekaboo is a powerful macOS command-line interface (CLI) tool and optional MCP server designed to empower AI agents with advanced screen capture and automation capabilities. It provides high-fidelity screen captures of applications or the entire system, including pixel-accurate captures with Retina 2x scaling. AI agents can leverage Peekaboo's natural-language interface to chain various tools like seeing, clicking, typing, scrolling, and hotkey presses, enabling comprehensive GUI automation. The tool supports multi-provider AI models such as OpenAI's GPT-5.1, Anthropic's Claude 4.x, xAI's Grok 4-fast, Google's Gemini 2.5, and local Ollama models for visual question answering. It's ideal for developers and technical users looking to create configurable, testable workflows with reproducible sessions on macOS.

rag-in-action is a comprehensive open-source code repository and training program focused on end-to-end RAG (Retrieval-Augmented Generation) system design, evaluation, and optimization. It breaks down RAG into 10 core components, offering practical projects to master the entire RAG workflow. The resource emphasizes tailoring RAG solutions to specific business needs and scenarios, rather than a one-size-fits-all approach. It covers modules from data loading and text chunking to vector embedding, retrieval processing, indexing, response generation, and system evaluation. The project supports both LangChain and LlamaIndex frameworks, with detailed environment configurations for GPU and CPU versions across Ubuntu, MacOS, and Windows.

Glow-TTS is an open-source generative flow model designed for text-to-speech (TTS) synthesis, utilizing a monotonic alignment search. Unlike many parallel TTS models, Glow-TTS does not require external aligners, making it a self-contained solution for generating mel-spectrograms from text. By combining the properties of flows and dynamic programming, it efficiently searches for the most probable monotonic alignment between text and the latent representation of speech. This approach ensures robust TTS, capable of generalizing to long utterances, and enables fast, diverse, and controllable speech synthesis. The model achieves significant speed-up over autoregressive models like Tacotron 2 with comparable speech quality and can be extended to multi-speaker settings. It also supports integration with vocoders like HiFi-GAN for improved synthesis quality.

PromptWizard is an open-source, task-aware, agent-driven framework designed for optimizing prompts used with Large Language Models (LLMs). It features a self-evolving mechanism where the LLM itself generates, critiques, and refines its own prompts and in-context learning examples. This iterative feedback loop ensures continuous improvement in task performance. The framework focuses on holistic optimization by evolving both instructions and examples, generating synthetic, diverse, and task-aware examples. It also supports self-generated Chain of Thought (CoT) steps and offers various scenarios for prompt optimization, including with and without training data, and the generation of synthetic examples. Users can configure hyperparameters and integrate with custom datasets, making it a flexible tool for developers and researchers working with LLMs.

Twinning is an innovative AI platform designed for influencers and content creators to generate an AI clone of themselves. This digital twin can then interact with their followers, providing a unique way to engage and monetize their audience. Users provide information about their content and audience, record a 5-15 minute audio sample, and Twinning creates their AI twin. The platform supports unlimited interactions, professional voice cloning, audio messaging, texting, and analytics. It offers a tiered pricing structure based on follower count, with a 100% money-back guarantee if the user is not satisfied with their AI twin. This tool provides a novel method for influencers to scale their personal brand and generate income from fan interactions.

gpt-pro-mode offers a collection of notebooks designed to give users access to advanced 'Pro Mode' functionalities for different GPT models, including gpt-oss-pro-mode, gpt-5-pro-mode, and nemotron-pro-mode. Users can run these notebooks to explore and experiment with enhanced AI capabilities. The tool also provides an integrated Pro Mode API endpoint, allowing for programmatic access and integration into other applications. It supports a 'tournament mode' for generation and synthesis, which processes requests with a higher number of generations in groups for more comprehensive results. This open-source project encourages community contributions and feedback for feature additions.

gt-nlp-class is a comprehensive repository of course materials for Georgia Tech's Natural Language Understanding courses, CS 4650 and 7650. It offers a structured curriculum covering modern data-driven techniques for natural language processing, moving from shallow bag-of-words models to richer structural representations of meaning. The materials include lecture notes, problem sets, and readings, designed to help students acquire fundamental linguistic concepts, analyze and understand state-of-the-art algorithms, and implement these techniques. The course emphasizes practical application through assigned projects and provides supplemental textbooks for deeper understanding. It is a valuable resource for students and educators in the field of NLP, particularly those with a strong programming and mathematical background.

gptpdf is an open-source tool designed to parse PDF files into markdown format using advanced large visual models such as GPT-4o. It leverages the PyMuPDF library to identify and mark non-text areas within PDFs, which are then processed by the AI model to generate highly accurate markdown output. The tool is capable of preserving complex elements like typography, mathematical formulas, tables, pictures, and charts. With a simple Python API, users can integrate gptpdf into their workflows, providing flexibility for custom prompts and model selection. It supports various OpenAI API-compatible models and offers options for verbose output and parallel processing to enhance efficiency. The average cost for parsing a page is approximately $0.013, making it an efficient solution for document conversion.

Wolfe by Slideworks is an AI-powered management consultant designed to assist with a wide range of business questions and challenges. It leverages advanced generative language models and the expertise of top-tier management consultants to provide strategic guidance. Wolfe can act as a co-pilot for tasks such as research, drafting, analysis, and communication, making these processes more efficient. It helps users create presentation storylines, develop frameworks for projects like digital transformation, solve business problems, optimize pricing, and analyze data for insights. Founded by ex-consultants and developers in partnership with Slideworks, Wolfe aims to augment corporate teams and consultants with cutting-edge AI capabilities.

gpt-3-experiments is a GitHub repository offering a collection of test prompts for OpenAI's GPT-3 API, alongside the resulting AI-generated texts. This resource is designed to showcase the robustness and capabilities of the GPT-3 model. The repository also features a Python script, `openai_api.py`, which enables users with OpenAI API access to efficiently query texts from the API, bypassing the web interface. All generated texts within the repository are presented in their original, unedited, and uncurated form, unless explicitly noted. The script allows for generating texts at various temperatures (0.0, 0.7, 1.0, 1.2) to explore different levels of 'creativity' in the AI's output. Users can configure their OpenAI API secret key and run the script from the command line to generate texts based on custom prompts or text files.

gpt4v-browsing is an open-source tool designed for web scraping and information extraction using the GPT-4 Vision API and Puppeteer. Users can ask questions, and the tool will browse to a specified website, take a screenshot, and then leverage the GPT-4 Vision API to analyze the image and provide answers. The JavaScript version offers enhanced functionality, allowing it to not only open URLs directly but also interact with web pages by clicking on links. This makes it a versatile solution for automating tasks that require visual understanding and interaction with web content, providing a powerful way to gather insights from dynamic web pages.