AI Agents & Automation

altermAInd offers governable AI infrastructure and human readiness solutions specifically designed for the world's most regulated industries. The company provides purpose-built platforms that enable enterprises to govern, scale, and industrialize AI effectively. These platforms are engineered to ensure compliance and robust management of AI systems, addressing the unique challenges faced by highly regulated sectors. altermAInd focuses on delivering advanced products and services that are open, cloud-native, scalable, and secure, providing unique value in the AI and technology space. Their solutions help organizations navigate the complexities of AI adoption while maintaining stringent regulatory standards.

Cyber Bee is a Web3 and AI development company specializing in building AI agents, scalable EVM blockchains, DeFi, RWA, and smart contract solutions for startup founders. They emphasize a co-founder mindset, aiming to deliver a production-ready MVP within 4-6 weeks. Their services include blockchain development (smart contracts, dApps, RWA tokenization), AI/ML solutions (AI agents, computer vision), and software development (SaaS). They also offer dedicated developer hiring for blockchain and DevOps roles. Cyber Bee serves industries such as Fintech, Crypto, Casino, Insurance, and Healthcare, with a focus on security, performance, and scalable code.

AMD-SHARK-Studio is a web user interface designed for SHARK+IREE, a high-performance machine learning distribution. It allows developers to run machine learning models, including Stable Diffusion, on various hardware platforms such as AMD, Nvidia, and Apple devices. The tool supports both Windows and Linux/macOS environments, offering flexible installation options for stable releases or advanced developer setups. Users can execute models via a web UI or command-line interface, with features like dispatch benchmarking for performance analysis. While the project is not currently maintained in its original form, it provides a robust framework for local ML model inference and development.

ChatGPT Widescreen Mode is a browser extension designed to significantly improve the user experience of ChatGPT. By introducing both Wide Screen and Full Screen modes, the extension maximizes the available screen real estate, thereby reducing the need for constant scrolling during conversations. This enhancement creates a more immersive and less distracting environment, allowing users to focus better on their interactions with the AI. It's a simple yet effective tool for anyone who frequently uses ChatGPT and desires a more expansive and efficient viewing experience.

Cloudflare AI Cloud offers a comprehensive infrastructure for scaling AI applications, from storing training data to running inference. It allows users to deploy AI agents and applications on Cloudflare's global network, leveraging serverless inference on GPUs for responses under 100 ms worldwide without managing clusters. The platform includes an Agents SDK for building goal-driven agents, Remote MCP servers for secure tool exposure, and AI Gateway for caching, rate-limiting, and observability. It also provides Vectorize for a globally-replicated vector database and R2 object storage for egress-free data storage. Cloudflare AI is designed for developers to build, deploy, and scale AI agents and applications with battle-tested infrastructure.

QuickFiling is an AI-powered platform designed to simplify the complex process of drafting immigration petitions, including NIW, EB-1A, and O-1 cases. It provides an intelligent workspace that guides users step-by-step through agentic workflows, ensuring critical requirements are met. The platform features automated evidence analysis, AI-powered organization of hundreds of exhibits, and AI-assisted petition letter generation with smart suggestions and auto-citations. QuickFiling guarantees USCIS-ready documents, with AI-generated, compliant structures converted to LaTeX for publication-quality formatting. It also supports real-time collaboration and is trusted by petitioners and businesses globally, significantly reducing drafting time from months to hours.

Bossed is an AI-powered, voice-interactive interview simulator designed to help job seekers prepare for any interview. Users can upload their CV/resume and import job listings from sites like Indeed or LinkedIn, allowing the AI interviewer to personalize questions for a realistic experience. The platform offers real-time interview practice with an AI coach, providing actionable feedback on communication skills, cultural fit, problem-solving, and technical ability. Users can choose difficulty levels from easy to hard, working their way up to master their interview technique. The realistic voice chat feature simulates a genuine interview setting, and the powerful AI interviewer can identify gaps in a candidate's CV. Bossed aims to provide constructive feedback to improve interview performance and help users secure their dream job.

Hacker News AI Tag Navigator is a Chrome extension designed to significantly improve the user experience on Hacker News. By leveraging AI, the tool automatically generates relevant tags for each submission, making it easier for users to quickly grasp the topic and relevance of a post. This functionality is crucial for navigating the vast amount of content on Hacker News, allowing for more efficient content discovery and filtering. The AI analyzes both the title and content of submissions to ensure the generated tags are informative and accurate, helping users find relevant articles and discussions based on their specific interests.

AutoRCCar is an open-source project designed to create a self-driving RC car. It integrates a Raspberry Pi, Arduino, and various open-source software components to achieve autonomous navigation. The Raspberry Pi collects inputs from a camera module and an ultrasonic sensor, transmitting this data wirelessly to a computer. The computer then processes these inputs for object detection, specifically identifying stop signs and traffic lights, and for collision avoidance. A neural network model, running on the computer, makes predictions for steering based on the input images. These predictions are subsequently sent to the Arduino for controlling the RC car. The project provides detailed instructions for setting up the environment using Anaconda, calibrating the Pi Camera, collecting training data, and training the neural network model.

LactApp is a pioneering mobile application designed to offer personalized advice and support for breastfeeding and maternity. Utilizing AI, it addresses mothers' questions in real-time, aiming to clarify worries and provide reliable information. The app serves as a comprehensive resource, offering free content and access to paid consultations. Beyond individual users, LactApp also extends its services to organizations, health insurance providers, hospitals, and the public sector, adding value in consumer goods and healthcare. It features additional offerings like LactApp Medical for healthcare professionals, LactApp Academy for continuous education, in-person and online appointments at LactApp Barcelona, and an online shop for maternity-inspired gifts. The platform is widely used, with a significant presence in Spain and positive user ratings on both Google Play and the Apple Store.

Taska AI is a mobile application leveraging artificial intelligence to streamline task management and enhance personal productivity. It assists users in organizing their daily schedules, intelligently prioritizing tasks, and ensuring timely reminders for important activities. The app aims to significantly reduce cognitive load, making it easier for individuals to manage overwhelming to-do lists. It is particularly beneficial for those who struggle with task organization or have conditions like ADHD, by providing a structured and AI-powered approach to daily efficiency.

Elula offers AI Software as a Service designed to help businesses make smarter decisions and future-proof their operations. Their suite of AI tools includes Sticky, which identifies unhappy customers to help retain them; Nudge, which uncovers optimal customer interactions for business growth; Elastic, which assists banks in improving customer experience through better pricing strategies; and Wonderlake, a data lake that provides insightful data analysis. Elula focuses on delivering business-ready AI solutions to address critical challenges, leveraging artificial intelligence to understand customers and their evolving needs.

WhoKnows is an AI Chrome extension designed to revolutionize talent acquisition and lead generation. It helps users find, score, and contact candidates or leads from over 370 million machine-enriched profiles. The tool leverages a patented, machine-learning discovery platform that automatically derives expertise and relationships to generate semantic, detailed, and always up-to-date profiles and connections. WhoKnows offers comprehensive solutions for businesses aiming to win the talent wars by providing advanced people analytics and efficient candidate sourcing capabilities. Its core features include machine-enriched profiles, an AI-powered discovery platform, and dedicated talent acquisition and people analytics solutions.

TraceFuse is an AI-driven service designed to help Amazon sellers remove negative product reviews that violate Amazon's policies and guidelines. Leveraging cutting-edge AI technology, the platform identifies reviews that are eligible for removal, such as those indicating marketplace abuse or policy breaches. TraceFuse then automates the process of filing cases with Amazon on behalf of the seller, eliminating the need for manual intervention. The service operates on a pay-per-performance model, charging only for successfully removed reviews. This ensures a compliant and safe method for improving product listings, increasing conversion rates, and boosting organic search rankings on Amazon.

Brilo AI offers human-like AI phone call agents designed to automate customer support and streamline business operations. It allows businesses of any size to set up AI phone agents in minutes, boosting customer satisfaction and cutting costs without requiring a technical team. The platform provides detailed post-call analysis, integrates seamlessly with over 6,000 apps, and handles inbound calls 24/7. Key features include instant transfer to human agents when needed, 24/7 regulatory compliance, and appointment scheduling that syncs with existing tools. Brilo AI is trusted by fast-growing teams across various industries like healthcare, financial services, and high-volume customer operations.

OutcomesAI is revolutionizing nursing care by integrating AI Voice Agents with licensed nurses to provide scalable, safe, and cost-effective healthcare solutions. Its core AI engine, Glia, automates routine patient interactions such as symptom triage, scheduling, and follow-ups, allowing nurses to focus on critical care. The platform supports various healthcare settings including nurse triage, patient access, post-acute & transition care, virtual care, and pharma & specialty care. OutcomesAI aims to reduce operational costs, accelerate scheduling, and significantly increase care capacity, delivering measurable impact through evidence-based, protocol-driven care that is HIPAA and SOC 2 certified.

Polyloop is the first AI-driven operating system designed specifically for non-profits, government, and funding ecosystems. It aims to declutter the challenges of evaluating outcomes by providing an evaluation co-pilot. The platform helps users plan their impact by building plans and generating outcomes with AI, reducing planning time from 60 hours to 6 minutes. It automates operational data collection and end-to-end benefits capture, offering multi-source automation. Polyloop also provides exceptional real-time reporting and evidence-based decision-making with analytics, and facilitates learning and case studies that are easily exportable, indexed, and searchable for future reference. This leads to significant improvements like 5% budget savings, 30% increase in KPI performance, and 7x increase in productivity.

Modl is an AI-driven platform designed to automate game testing and quality assurance, helping developers find bugs, glitches, and performance issues more rapidly. It leverages AI agents and analysts to provide comprehensive test coverage, allowing QA teams to operate independently without needing SDKs, code hooks, or engineering support. Users can instruct the AI in plain language for daily test cycles or complex flows, and the system handles routine test cases as well as open-ended exploratory tasks. Modl automatically generates detailed bug reports with descriptions, visuals, and severity scores for detected issues like visual glitches, missing assets, and gameplay logic bugs. The platform supports testing on Android and desktop, with iOS support in development, and is particularly effective for mobile games and titles with structured interactions.

StrawPot is an open-source platform designed for orchestrating role-based AI agents locally on your machine. It allows users to simulate an entire AI company, with agents taking on roles like CEO, engineer, QA, and reviewer, all collaborating to ship products. The system emphasizes human direction, enabling users to set goals, define roles, and approve plans, while agents handle coordination, delegation, and delivery. Key functionalities include triaging GitHub issues, turning ideas into pull requests, and creating/refining agent roles. StrawPot differentiates itself by focusing on composable, reusable, and evolvable AI workers, addressing the limitations of systems that only handle orchestration. It features recursive delegation, skill and role extensibility via Markdown files, persistent memory, and pluggable providers for various agent runtimes, making it a robust solution for developers and product managers looking to leverage AI teams.

Hello-Agents is a comprehensive, open-source tutorial designed to guide users through the process of building intelligent AI agent systems from the ground up. This resource, developed by the Datawhale community, focuses on AI-native agents, moving beyond workflow-driven software agents. It covers core principles, architectural understanding, classic paradigms, and hands-on construction of multi-agent applications. The tutorial is structured into five parts, progressing from foundational concepts and historical context of AI agents and large language models to advanced topics like memory systems, context engineering, communication protocols, and agentic RL. It culminates in practical case studies, including building smart travel assistants and simulated cyber towns, and a final graduation project to apply learned skills. The project emphasizes practical application, providing all necessary code and encouraging hands-on experimentation.

2V is a platform designed for creating interactive AI experiences, focusing on personalization. Users can build AI interactions that reflect their own life and personality, leading to unique and engaging AI simulations. The platform aims to provide a distinct approach to AI interaction, moving beyond generic responses to offer a more tailored and immersive experience. While specific features are not detailed, the core offering revolves around enabling users to craft AI agents that embody personal characteristics and respond in a customized manner, fostering a deeper connection with the AI.

Awesome-Embodied-Robotics-and-Agent is a curated list of research focusing on "Embodied AI or robot with Large Language Models" and Vision-Language Models (VLMs). Maintained by haonan, this repository serves as a dynamic resource for academics and researchers to stay updated on the latest advancements. It includes a systematic categorization of efficient VLAs, covering model design, training strategies, and data collection methods. The list features surveys, vision-language-action models, self-evolving agents, advanced agent applications, LLMs with RL or world models, and more, making it an invaluable resource for anyone exploring the intersection of AI, robotics, and large language models.

Awesome-AI-Agents-for-Healthcare is a comprehensive, open-source repository that curates the latest advancements in Agentic AI and AI agents specifically tailored for the healthcare domain. This resource provides a meticulously organized collection of research papers, innovative projects, and valuable tools. It covers a wide array of applications, including medical image analysis, electronic health record (EHR) manipulation, counseling, drug discovery, patient dialogue systems, and healthcare administration. The repository also features a conceptual framework illustrating the pipeline from data perception to a hierarchical application ecosystem, alongside a quantitative analysis of academic literature highlighting key trends in data modalities, technologies, and application domains. It's an invaluable resource for researchers, developers, and practitioners looking to explore and implement AI solutions in healthcare.

Awesome-GPT-Agents is a community-driven, open-source repository that compiles a comprehensive list of GPT agents specifically designed for cybersecurity. This curated collection includes tools for both offensive and defensive security operations, making it a valuable resource for cybersecurity professionals, researchers, and AI enthusiasts. The repository emphasizes community contributions, encouraging users to add their own creations. It also provides basic guidelines for maximizing the use of these GPTs, including specific keywords that trigger actions like information retrieval or code interpretation. Users are advised to exercise caution and evaluate agents before use, as some are still in experimental phases.