AI Agents & Automation

SFCoRED™ is a next-generation visual, configurable, and extensible industrial process control hub designed for the new cycle of digital transformation. It serves as a core capability for enterprises needing to understand process logic, unify data, and drive equipment execution. Built using the SFC (Sequential Function Chart) model and driven by a high-performance runtime engine, SFCoRED™ allows both process engineers and business personnel to quickly build stable and reliable production logic. It supports edge-to-cloud deployment, offers high concurrency, and integrates seamlessly with Node-RED for complete solutions combining process control, data orchestration, and equipment linkage. SFCoRED™ is specifically designed for industrial process execution, offering professional-grade reliability with state persistence, dynamic scheduling, and anomaly recovery.

MIRI AI is a modular absorption layer designed to integrate with existing health and wellness ecosystems, ingesting data from various APIs. It creates continuous engagement loops through nudges, passive data tracking, feedback, and insights, ultimately driving retention and increasing customer Lifetime Value (LTV). MIRI supports various applications, including medication adherence for GLP-1 and supplements, nutrition and habit reinforcement, symptom and insight analysis from diagnostic data, and personalized recommendations for products and services. It serves a range of clients from GLP-1 and prescription services to telehealth, lab diagnostics, supplements, and EHR/platform partners, helping them maintain engagement between interactions and turn data into measurable outcomes.

real_time_face_recognition is an open-source project designed for real-time face detection and recognition, built upon a combination of powerful libraries including OpenCV, TensorFlow, MTCNN, and Facenet. The system utilizes MTCNN for efficient face detection and Facenet for generating face embeddings, enabling robust recognition capabilities. While offering advanced features for computer vision tasks, it's important to note that this repository is no longer actively maintained. Users can explore its functionalities through Jupyter Notebook examples, requiring dependencies like TensorFlow and OpenCV with Python bindings.

ad_examples is a comprehensive, open-source collection of anomaly detection methods, encompassing iid (point-based), graph, and time series data. The repository features advanced techniques such as active learning for anomaly detection/discovery, Bayesian rule-mining, and methods for diversity, explanation, and interpretability. It also includes analysis of incorporating label feedback with ensemble and tree-based detectors, and explores adversarial attacks using Graph Convolutional Networks. The tool supports various standard unsupervised anomaly detectors like Isolation Forest, LODA, One-class SVM, and LOF, alongside forecasting-based methods for time series data. It's designed for researchers and developers working with anomaly detection, offering both theoretical insights and practical examples.

Unbody Lab is dedicated to questioning, exploring, experimenting, and building adaptive thinking tools. It challenges the traditional software paradigm where products are rigid and users adapt to them. Unbody envisions AI as a means to unlock latent human potential, surfacing what's already present but hard to access, such as patterns, blind spots, and capacity to act. The platform aims to create a cognitive exoskeleton that extends memory, sharpens attention, and fosters clarity. It prioritizes returning time to users rather than capturing it, and builds tools that adapt to the human, learning rhythms and respecting limits. Unbody also emphasizes calibrated friction, ensuring tools support intentions without competing for attention, and values craft as care, absorbing complexity so users don't have to.

Agents.jl is a pure Julia general-purpose framework designed for agent-based modeling (ABM), a computational simulation methodology where autonomous agents interact with their environment and other agents based on predefined rules. Key highlights include its simplicity, extensive interface with thousands of possible agent actions, and high performance, often surpassing established competitors. The framework supports simulations on Open Street Maps and allows for both traditional discrete-time ABM simulations and continuous-time event queue-based ABM simulations. It also provides native integration with Reinforcement Learning (RL) for advanced applications. Agents.jl is part of JuliaDynamics, an organization focused on creating high-quality scientific software.

Geekflare Connect offers a secure Bring Your Own Key (BYOK) AI workspace designed for teams to collaborate efficiently with various AI models. Users can connect their own API keys from providers like OpenAI, Google, and Anthropic, enabling side-by-side comparison of model responses and secure prompt sharing. The platform provides a unified interface to access over 35 AI models, organize chats into projects, and perform deep research by querying reasoning AI models and Google Search simultaneously. It includes features for shared prompt libraries, user roles, permission controls, and in-depth usage analytics and cost tracking, aiming to significantly reduce AI expenses by up to 65% through a consumption-based model.

VLM2Vec is an open-source project from TIGER-AI-Lab, providing a unified framework for training and evaluating powerful multimodal embeddings across diverse visual formats, including images, videos, and visual documents. It introduces MMEB-V2, a comprehensive benchmark with 78 tasks designed to systematically evaluate embedding models across these modalities. VLM2Vec-V2 sets a new state-of-the-art, outperforming strong baselines. The tool supports easy configuration of training and evaluation using YAML files and allows for easy extension with new datasets. It is built on state-of-the-art Vision-Language Models like Qwen2-VL, using instruction-guided contrastive training to produce fixed-dimensional embeddings for various inputs.

WooWell is an AI-powered application designed to elevate the online dating experience. It offers features to help users create compelling dating profiles by crafting magnetic bios that showcase their unique personality. The tool also assists in generating stunning profile pictures based on user responses and preference criteria. Furthermore, WooWell aims to improve conversational skills, helping users move past awkward silences to engage in smooth and captivating discussions. The application supports all major languages and guarantees that using it will not lead to account bans on dating platforms. There are no limits on messages or bio generation.

lobe-chat-agents serves as the central agent index for LobeChat, offering a comprehensive list of available AI agents. This platform accesses its index.json file from the repository to display agents within the LobeChat agent market. Users can explore various agents to enhance their LobeChat experience, and developers or creators have the opportunity to submit their own agents to be featured in the index, fostering a collaborative and expanding ecosystem of AI capabilities. The tool is hosted on GitHub, indicating an open-source or community-driven approach to agent development and discovery.

ChatPDF AI is a powerful document analysis tool that brings ChatGPT-style intelligence to your PDFs. Users can upload various document formats, including PDF, Word, PowerPoint, Markdown, and Text files, to summarize, chat, and analyze their content. It's designed for students, researchers, and professionals to quickly extract information, understand complex documents, and study efficiently. Key features include multi-file chats for organizing and conversing with multiple documents simultaneously, built-in citations linking responses to original PDF content, and multilingual support for both document uploads and chat interactions. The platform offers a free plan for daily document analysis and a Plus plan for unlimited access and advanced features, ensuring accessibility for a wide range of users.

UFO³ (Unified Framework for Orchestration) is a powerful open-source framework developed by Microsoft, designed for weaving digital agent galaxies. It facilitates the creation and orchestration of intelligent agents across multiple devices and heterogeneous platforms. The framework introduces Galaxy, a multi-device orchestration system built on principles like declarative decomposition into dynamic DAGs, continuous result-driven graph evolution, and heterogeneous, asynchronous, and safe orchestration. It utilizes a Unified Agent Interaction Protocol (AIP) for secure communication and offers template-driven MCP-empowered device agents for rapid development. UFO³ supports complex multi-step automation, cross-device collaboration, and DAG-based task orchestration, making it suitable for advanced AI agent development and deployment.

APISCRAPY is an AI-driven web scraping and automation cloud platform designed to convert any web data into ready-to-use data APIs. The platform streamlines processes by extracting, processing, and integrating data from various websites and mobile/TV apps. It offers key features such as managed data acquisition, AI-driven data labeling and annotation, synthetic data access, and pre-classified data for AI model building. APISCRAPY also provides AI-driven price scraping for real-time monitoring and analytics, and API-KART, a data API hub for accessing and integrating large volumes of data. The platform emphasizes no-code solutions, automation-based processes, and flexible data delivery formats.

This GitHub repository offers a comprehensive tutorial for training, converting, and running TensorFlow Lite object detection models on various edge devices, including Android phones and the Raspberry Pi. It guides users through the process of creating custom TensorFlow Object Detection models, optimizing them for TensorFlow Lite, and deploying them for real-time applications. The tutorial provides Python code for performing object detection on images, videos, web streams, or webcam feeds. It also highlights the benefits of using Google Colab for training, offering a free GPU-enabled virtual machine, and includes step-by-step setup guides for different devices. The resource emphasizes faster inference times and reduced processing power requirements compared to standard TensorFlow models.

Muttdata specializes in building modern data platforms and AI systems, offering consulting services to help businesses transform their data into actionable insights and growth engines. They work with leading retailers, e-commerce, CPGs, and financial services, implementing scalable solutions tailored to existing technology environments. Their services span MarTech, Gen AI, predictive models, measurement & attribution, and modern data platform development, powered by partnerships with Databricks and AWS. With over 300 projects delivered and a team of 200+ data experts, Muttdata focuses on driving measurable ROI and improving business metrics within weeks.

Scrapling is a powerful and adaptive web scraping framework designed for both single requests and full-scale, concurrent crawls. It features an intelligent parser that learns from website changes, automatically relocating elements when pages update, ensuring data extraction remains robust. The framework includes advanced fetchers capable of bypassing anti-bot systems like Cloudflare Turnstile and offers full browser automation. Scrapling supports multi-session crawls with pause/resume functionality, automatic proxy rotation, and real-time streaming of scraped items. It also integrates AI capabilities through an MCP server for assisted web scraping, optimizing data extraction and reducing token usage for AI models. Built for performance, it boasts high speed, memory efficiency, and battle-tested architecture with extensive test coverage.

annyang is a lightweight JavaScript library designed to bring speech recognition capabilities to any website. It allows developers to easily integrate voice commands, enabling users to control their site through spoken instructions. The library boasts no dependencies, a minimal footprint of just 2 KB, and is freely available under the MIT license, making it an accessible solution for adding interactive voice features. It supports defining custom commands and provides a simple API for starting and stopping recognition. For enhanced user experience, annyang can be paired with Speech KITT, a GUI library that offers visual feedback and customizable themes for the speech recognition interface.

GPS-Gaussian is an innovative AI tool that offers a generalizable pixel-wise 3D Gaussian representation for real-time human novel view synthesis. Developed as a highlight of CVPR 2024, this tool allows for instant generation of novel views of unseen characters without requiring any fine-tuning or optimization. It provides a robust solution for computer vision and graphics researchers and developers working with 3D human models. The repository includes detailed instructions for installation, dataset preparation, and training, supporting both synthetic and real-world data. Users can pretrain a depth prediction model and then train the full model, with options for offline disparity determination to speed up subsequent training. Pretrained models are also available for quick evaluation and testing.

DeGould is a global leader in providing automated vehicle inspection solutions for automotive OEMs. The system utilizes AI algorithms and high-quality images to perform digital vehicle inspections, damage detection, and specification checks. DeGould's AutoCompact system, installed at end-of-line, delivers inspection results in less than 120 seconds, covering areas manual inspection often misses. It is trained on millions of real-world images to ensure consistent defect detection and classification. The Spec Check feature automatically assesses panels for surface condition and confirms component matches against VIN data. The Inspector App allows quality teams to review and approve findings directly at the vehicle, while the DeGould Dashboard provides a centralized digital record and network visibility across multiple plants. The DVM App further extends this documentation through the supply chain, helping to resolve damage disputes by recording vehicle condition at each handover point.

Best AI is a web gallery hosted on Hugging Face, designed to help users discover and interact with various AI models and applications. It organizes AI Spaces into categories such as Popular, BEST, and NEW, making it easy to browse and explore. The platform provides live previews or screenshots of each AI Space, offering a quick look at their functionalities. This tool serves as a central hub for anyone interested in exploring the latest AI technologies, from developers to enthusiasts, providing a curated collection of AI agents and applications.

Cimba.ai is an AI-native agentic command center designed for enterprise finance and business operations. It operationalizes intelligence by combining trusted data, business context, and structured workflows into a single operational system. The platform enables teams to create governed AI agents and repeatable workflows that actively analyze data, answer questions, and deliver proactive, trusted next best actions. Key features include audit logs and traceability for SOX/SOC 2 compliance, cross-signal insights, and enterprise data integrations. Cimba helps finance teams with forecasting and variance analysis, customer success teams with health and retention monitoring, and operations teams with performance monitoring and anomaly investigation, scaling insights without endless dashboards.

KAOSTOGEL serves as an official online gaming platform, specializing in providing free demo accounts for popular slot games from providers like PG Soft and Pragmatic Play. The platform is designed to offer a stable and fast gaming experience, allowing enthusiasts to play without real money. A key feature is the automatic replenishment of demo account balances, ensuring continuous play and practice for users to hone their skills before engaging with real money. KAOSTOGEL emphasizes a combination of high RTP (Return to Player) slots and abundant bonus features, aiming to provide an engaging and enjoyable experience for slot game lovers. The platform also offers a variety of other games including Live Casino, Race, Togel, Olahraga, Crash Game, Arcade, E-Sports, and Sabung Ayam.

Phoenix Technologies AG, operating as PHOENIQS, is a Swiss-based AI and cloud service provider focused on delivering sovereign, high-performance computing solutions for enterprises. PHOENIQS emphasizes data control, security, and strategic independence, ensuring organizations have full command over their digital infrastructure. Their offerings include PHOENIQS Cloud Services for AI-ready infrastructure, PHOENIQS Model Service for accessing multi-tenant FP16-quality open-source models without logging traffic, and the PHOENIQS AI Platform for deploying governed AI applications within Swiss jurisdiction. The company guarantees robust data protection and privacy, adhering to the highest standards of security and reliability.

ninja is an open-source project that offers a reverse-engineered ChatGPT proxy, designed to facilitate interaction with the ChatGPT API and OpenAI API. Key features include the ability to acquire API keys, authenticate using email and password, and support for a ChatGPT WebUI. It also incorporates an IP proxy pool for enhanced flexibility and maintains a very small memory footprint, making it efficient for various deployments. Although the project has officially ended, its codebase remains available for those interested in its functionalities. The tool is built with Rust and is released under the GPL-3.0 License, encouraging community contributions and modifications while retaining original author information.