AI Agents & Automation

Loman AI offers a 24/7 AI phone answering solution specifically designed for restaurants. This voice AI agent can take pickup and delivery orders, manage reservations, answer frequently asked questions, and securely process credit card payments over the phone. It integrates seamlessly with popular POS and reservation systems like Toast, SpotOn, OpenTable, Clover, and Square. Loman AI aims to boost revenue by capturing missed calls, increase average ticket size through smart upsells, and reduce labor costs by offloading routine phone tasks from staff. The platform provides a command center to monitor live calls, transcripts, and orders, allowing restaurants to update menus and hours instantly.

SeeAct is a system designed for generalist web agents, allowing them to autonomously execute tasks across various websites. It primarily utilizes large multimodal models (LMMs) such as GPT-4V(ision) to power its capabilities. The system features a robust code execution environment and a sophisticated grounding mechanism, ensuring effective and reliable interactions with web interfaces. SeeAct is particularly well-suited for researchers and developers who are focused on advancing the field of web automation and creating intelligent agents that can navigate and operate within complex online environments. Its focus on LMMs provides a cutting-edge approach to web agent development.

Vooyai is an AI-powered trip planner designed to help users discover new travel destinations and create personalized itineraries quickly. Users can provide their trip details to receive location recommendations or generate a bespoke itinerary if they already have a destination in mind. The platform aims to simplify trip planning, offering improved recommendation models that are accurate and tailored to individual needs. Vooyai Plus offers enhanced features such as up to 15 destination recommendations, itineraries for up to 15 days, and extra itinerary features like exporting, editing, and an improved map. Users can also earn free Vooyai Plus credits by inviting friends or booking accommodations, transportation, or activities through the platform.

MARLlib is a comprehensive, open-source library designed for Multi-agent Reinforcement Learning (MARL), leveraging Ray and its RLlib toolkit. It offers a unified platform for researchers and developers to create, train, and evaluate MARL algorithms across a wide array of tasks and environments. Key features include support for all task modes (cooperative, collaborative, competitive, mixed), a Gym-like interface for multi-agent environments, and flexible parameter-sharing strategies. MARLlib provides 18 pre-built algorithms with an intuitive API, making it accessible even for those new to MARL. Users can customize model architectures, policy sharing, and access over a thousand released experiments. It is compatible with Linux operating systems and offers step-by-step installation or Docker-based usage.

Lolo — AI Food&Calorie Tracker is an AI-powered solution designed to simplify the process of monitoring nutrition and managing calorie intake. Users can effortlessly log their food consumption through plain text or voice commands, making data entry quick and convenient. The tool leverages artificial intelligence to analyze dietary information, providing insights that help individuals maintain a balanced diet and achieve their health goals. It aims to streamline food tracking, making it accessible and efficient for anyone looking to better understand and control their nutritional habits.

ms-swift is a comprehensive, open-source framework developed by the ModelScope community, designed for fine-tuning and deploying large language models (LLMs) and multimodal large models (MLLMs). It supports over 600 text-only LLMs and 400 MLLMs, offering full-pipeline capabilities from training to inference, evaluation, quantization, and deployment. The framework integrates advanced training technologies, including Megatron parallelism (TP, PP, CP, EP) for acceleration and a rich family of GRPO reinforcement learning algorithms. ms-swift also supports various fine-tuning methods like LoRA, QLoRA, and DoRA, and provides memory optimization techniques such as Flash-Attention 2/3. It offers a Web-UI interface for simplified training, inference, evaluation, and quantization workflows, making it accessible for a wide range of users.

inltk (Natural Language Toolkit for Indic Languages) is an open-source library designed to provide comprehensive support for various NLP tasks in Indic languages. It offers pre-trained language models and functionalities for data augmentation, textual similarity, sentence embeddings, word embeddings, tokenization, and text generation across 13 Indic languages. The library has demonstrated significant performance improvements, outperforming previously reported results for text classification on publicly available datasets. Furthermore, it enables achieving high performance with substantially reduced training data when utilizing its pre-trained models and data augmentation features. inltk is widely adopted, with over 40,000 downloads and a strong community presence on GitHub.

The Azure MLOps (v2) solution accelerator offers enterprise-ready templates designed to streamline the deployment of machine learning models on the Azure Platform. This project serves as a foundational starting point for MLOps implementation within Azure, emphasizing repeatable, automated, and collaborative workflows. It empowers teams of ML professionals to efficiently get their machine learning models into production. The accelerator focuses on simplicity, modularity, repeatability, security, collaboration, and enterprise readiness, utilizing a template-based approach to enhance operational efficiency across the data science lifecycle. It supports both Azure DevOps and GitHub-based deployments, providing architectural patterns and quickstart guides for various project scenarios.

Elevatus is an AI hiring operating system designed for enterprise-scale recruitment, offering autonomous recruiting from requisition to onboarding without requiring any coding. The platform provides solutions like EVA-REC for streamlining recruitment, EVA-SSESS for pinpointing top performers through assessments, and EVA-BOARD for initiating onboarding before day one. It caters to various industries including education, financial services, and government, and is built for speed, scale, and complexity. Elevatus ensures full compliance, offers deployment in under one week, and integrates seamlessly with over 2000 tools like LinkedIn, Zoom, Slack, and SAP. It also features built-in intelligence for every stage of recruitment, supporting diverse hiring, first-class candidate experiences, dynamic analytical reports, and multilingual support.

OpenML is a collaborative online machine learning platform designed to facilitate the sharing and organization of data, machine learning algorithms, and experimental results. It aims to create a frictionless, networked ecosystem where scientists and practitioners can easily integrate their existing processes and tools to collaborate globally. The platform provides significant benefits for science by enabling rapid building upon others' results, answering complex questions quickly through prior experiments, and making larger studies feasible. For scientists, it saves time on routine duties, compares new experiments to the state of the art, and offers potential for new discoveries and publications. OpenML also serves as a valuable learning environment for students and citizen scientists, allowing them to explore state-of-the-art methods and contribute their own work.

Osprey is a cutting-edge computer vision tool that enhances multimodal large language models (MLLMs) by incorporating pixel-wise mask regions into language instructions. This innovative approach enables fine-grained visual understanding, allowing Osprey to generate detailed semantic descriptions, including both short and elaborate explanations, based on specific input mask regions. It seamlessly integrates with Segment Anything Model (SAM) in various modes like point-prompt, box-prompt, and segmentation everything, to extract and describe semantics associated with particular parts or objects within an image. Osprey is built upon the LLaVA-v1.5 codebase and is designed for researchers and developers working on advanced visual instruction tuning and pixel-level image analysis.

PyTorch-BayesianCNN provides an implementation of Bayesian Convolutional Neural Networks (CNNs) with variational inference, specifically utilizing Bayes by Backprop, within the PyTorch framework. This tool allows researchers and developers to build CNNs that can infer intractable posterior probability distributions over weights, offering a significant advantage over traditional frequentist approaches by providing uncertainty estimations. It includes two types of Bayesian layer implementations: BBB (Bayes by Backprop) and BBB_LRT (Bayes by Backprop with Local Reparametrization Trick), which enhances sampling efficiency. The repository supports standard datasets like MNIST, CIFAR10, and CIFAR100, and includes implementations of common models such as AlexNet and LeNet, making it a valuable resource for experimenting with Bayesian deep learning and understanding model uncertainty.

pytorch_active_learning is an open-source PyTorch library designed for active learning, accompanying the "Human-in-the-Loop Machine Learning" book. It offers a range of active learning methods, including Least Confidence, Margin of Confidence, Ratio of Confidence, and Entropy sampling. The library also supports more advanced techniques like Model-based Outlier sampling, Cluster-based sampling, and various forms of Active Transfer Learning. It is suitable for researchers and practitioners looking to experiment with and apply active learning strategies in computer vision and natural language processing, with a focus on real-world diversity to avoid bias. The code is stand-alone and can be easily integrated with existing PyTorch installations.

ZeroWork is a powerful no-code automation tool designed to streamline repetitive tasks across various online platforms. It excels in web scraping, allowing users to extract data from websites like Google Maps, LinkedIn, and Amazon, with features for data enrichment, deduplication, and scheduled monitoring. Beyond scraping, ZeroWork facilitates web interactions such as auto-posting comments, sending DMs, filling forms, and integrating AI for content creation and personalized responses. The tool emphasizes anti-bot detection prevention and offers unlimited runtime, API calls, and webhooks, making it a robust solution for automating complex multi-step processes like end-to-end sales jobs. Its visual drag-and-drop interface makes it accessible for non-coders, while also supporting custom JS and API calls for advanced users.

Osaurus is an AI edge infrastructure solution specifically designed for macOS, allowing users to run both local and cloud-based AI models efficiently. This tool provides a native, always-on runtime environment, which is crucial for powering continuous AI workflows. It also facilitates the sharing of AI tools across various applications, enhancing productivity and integration within the Apple ecosystem. The project has recently moved to a new repository at osaurus-ai/osaurus, where all active development, issues, and releases are now managed. Users are encouraged to update their git remote to the new location to access the latest features and contributions.

CallFluent AI enables businesses and agencies to create AI-powered phone calling agents that handle both inbound and outbound calls 24/7. The platform offers a no-code builder, allowing users to deploy AI employees for sales, bookings, surveys, and customer support without technical skills. Key features include over 400 neural AI voices in 40+ languages, lightning-fast responses, and seamless integration with popular tools like GoHighLevel, Google Calendar, ElevenLabs, OpenAI, Zapier, n8n, Make, Twilio, and CRMs. CallFluent AI supports various use cases such as appointment reminders, payment reminders, customer follow-ups, delivery updates, outreach campaigns, subscription reminders, general inquiries, appointment booking, order status, lead qualification, billing inquiry assistance, and service request intake. Users can also white-label the service for their agencies.

rpaframework is a comprehensive, open-source collection of libraries and tools specifically designed for Robotic Process Automation (RPA). It seamlessly integrates with both Robot Framework and Python, providing a robust foundation for automating various tasks and processes. The project is sponsored by Robocorp and optimized for their Control Room and Developer Tools, ensuring a streamlined development experience. It includes a wide array of libraries for browser automation (Selenium, Playwright), desktop automation, email operations (Exchange, IMAP/SMTP), Excel and PDF manipulation, file system interactions, and integrations with cloud services like AWS, Azure, and Google. Additionally, it offers libraries for intelligent document processing, database interactions, and APIs for services like HubSpot, Microsoft Graph, OpenAI, Salesforce, SAP, Slack, and Twitter, making it a versatile solution for complex automation needs.

TextBlob is a Python library designed for simplified text processing, offering a straightforward API for various natural language processing (NLP) tasks. Key functionalities include sentiment analysis, part-of-speech tagging, and noun phrase extraction. It also supports classification, tokenization, word and phrase frequency analysis, parsing, n-grams, word inflection (pluralization and singularization), lemmatization, and spelling correction. Built upon the foundations of NLTK and Pattern, TextBlob allows for the addition of new models or languages through extensions and integrates with WordNet. It's an open-source tool, making it accessible for developers and researchers working with textual data.

Magicflow is an AI-powered productivity coach designed to help founders and makers achieve deep work. It measures productivity, tracks deep work sessions, and identifies context-switches and distractions. The tool provides actionable insights on what fosters productive flow and what breaks it, helping users become more productive. Key features include live flow timers for focus sessions, Pomodoro timers, distraction warnings, and a glowing flow meter. It offers automatic time tracking, real-time productivity metrics, and recommended focus actions, making it a comprehensive solution for enhancing focus and optimizing work habits.

OpenControl enables users to manage their infrastructure using AI, offering a self-hosted solution that integrates directly with internal resources and codebase. It generates a single HTTP endpoint, acting as a unified gateway that can be chatted with or registered with any AI client, exposing all your connected tools. The platform is universal, supporting tool calling with models from Anthropic, OpenAI, or Google, and ensures security through authentication via any OAuth provider. It can be deployed to AWS Lambda, Cloudflare Workers, or containers, and provides examples for integrating with AWS, Stripe, and SQL databases, making it a flexible solution for developers looking to automate infrastructure management.

AgentBench is a comprehensive benchmark designed to evaluate Large Language Models (LLMs) as agents across a diverse spectrum of environments. It encompasses 8 distinct environments, including 5 newly created domains like Operating System (OS), Database (DB), Knowledge Graph (KG), Digital Card Game (DCG), and Lateral Thinking Puzzles (LTP), alongside 3 recompiled from published datasets (House-Holding, Web Shopping, Web Browsing). The platform offers both Dev and Test splits for each dataset, requiring LLMs to generate responses thousands of times for thorough evaluation. AgentBench also introduces VisualAgentBench for evaluating and training visual foundation agents based on large multimodal models (LMMs), covering embodied, GUI, and visual design environments. It supports quick setup using Docker Compose and provides benchmarking results via a leaderboard.

Vanim is an AI-powered English speaking tutor designed to help users master English with confidence. It offers a 100% free, offline experience with no signup or personal data collection, ensuring privacy. The tool focuses on spoken practice, moving beyond typing and multiple-choice questions, with features like structured learning paths from beginner to advanced, real conversations with AI on various topics, and instant feedback on grammar, vocabulary, pronunciation, and fluency. Users can practice real-world English scenarios, including interviews, office small talk, and casual conversations, making it ideal for job seekers, students, professionals, and travelers.

Certainly offers AI agents designed to automate customer conversations across multiple channels, including web, WhatsApp, email, voice, and SMS. This platform is built for enterprise customer experience (CX) teams looking to streamline operations and provide instant support. Key features include no-code deployment and multi-lingual capabilities, making it accessible and versatile for global businesses. Certainly's AI agents can handle customer service, sales, and internal support, aiming to enhance efficiency and customer satisfaction by automating routine interactions and providing quick, accurate responses.

LingChat is an AI chat companion that integrates emotional expressions into its GPT conversations. It utilizes a self-trained AI emotion recognition model to determine the AI's emotional state during each dialogue, influencing its expressions, actions, and chat bubble styles. The tool offers permanent memory for each saved conversation, allowing for consistent and personalized dialogue styles. Users can customize characters, import scripts for multi-role conversations, and even enable visual perception for the AI to interpret screen activity. LingChat supports Windows, Linux, and macOS, including 32-bit Windows systems and older CPUs, making it accessible to a wide range of users.