AI Agents & Automation

Hotball is an AI co-pilot specifically designed for startup founders to validate their business ideas and develop comprehensive step-by-step plans. The platform helps eliminate blind spots, identify gaps in business plans, and provides guidance to fully understand and articulate a business model for investors. It offers personalized suggestions by allowing users to sync their documents, ensuring relevant advice based on actual business data. Hotball also acts as a personal AI fractional executive, providing detailed analysis of pitches and business models to increase funding chances. It pre-validates business models using proven frameworks, helping founders make better decisions and avoid common startup pitfalls related to market need or flawed models.

Deeligence is an AI-powered platform designed to significantly accelerate due diligence and contract review processes, aiming to reduce human error and meet ambitious deadlines. It centralizes all due diligence projects and processes, providing a clear overview of progress. Key features include a Change Tracker for managing uploads and revisions, an AI Contract Screener that extracts over 100 contract fields with local law summaries, and an Early Warning System that uses agentic AI to identify and notify teams of red flags on day one. The tool also offers end-to-end solutions, data room agnosticism, team visibility, instant data import, one-touch reporting, and Q&A management, all while ensuring security and privacy with GDPR compliance and SOC-2/ISO 27001 in progress.

Catalyst.jl is a symbolic modeling package designed for the analysis and high-performance simulation of chemical reaction networks and related dynamical systems. It supports various simulation types including ODE, steady-state ODE, SDE, stochastic chemical kinetics (jump), and hybrid simulations. Models can be specified using an intuitive domain-specific language (DSL) or constructed programmatically. Built on ModelingToolkitBase.jl and Symbolics.jl, Catalyst leverages symbolic computation for tasks like sparsity exploitation, Jacobian construction, and dependency graph analysis. It integrates seamlessly with the broader Julia and SciML ecosystems for advanced analyses such as sensitivity analysis, parameter estimation, and bifurcation analysis, making it a powerful tool for researchers and developers in systems biology and scientific machine learning.

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.

Review-Gate is a specialized tool designed to integrate with the Cursor IDE, significantly enhancing the code review process. It provides interactive AI assistance, allowing developers to engage with the AI through various modalities including text, voice, and image uploads. This multi-modal interaction facilitates a more dynamic and efficient review cycle. The tool is particularly adept at supporting iterative work within a single request, which streamlines the coding process and helps developers refine their code more effectively. By offering these advanced AI-powered features, Review-Gate aims to improve the overall quality and speed of code development and review.

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.

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.

R-CNN (Regions with Convolutional Neural Network Features) is an open-source visual object detection system developed by Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik at UC Berkeley EECS. It integrates bottom-up region proposals with rich features extracted by a convolutional neural network. At the time of its release, R-CNN achieved a 30% relative improvement in detection performance on PASCAL VOC 2012, reaching 53.3% mean average precision. While no longer maintained and considered a historical artifact, it serves as a foundational work for more recent and advanced object detection methods like Fast R-CNN and Faster R-CNN. The codebase is available on GitHub and requires MATLAB and Caffe for installation and use.

Caitty AI Chat is an intelligent AI companion available on the iOS App Store, designed to facilitate creative conversations, learning, and various other needs. Users can engage in natural and intelligent discussions with advanced AI models. A key feature is the ability to choose from different AI personalities, allowing for tailored assistance across diverse requirements. The app also boasts smart translation and multi-language support, making it accessible to a global audience. Powered by cutting-edge AI models, Caitty AI provides lightning-fast responses. It can act as a creative assistant for writing, brainstorming, and idea generation, and also offers programming assistance and code debugging support as a code expert.

RetNet offers a minimal, pure PyTorch implementation of the Retentive Network, designed as a successor to the Transformer architecture for large language models. This repository focuses on aiding scientific and technological understanding and advancement, with code prioritizing correctness and readability over optimization. Key features include single-scale and multi-scale retention across parallel, recurrent, and chunkwise paradigms, as well as a multi-layer retentive network with FFN and LayerNorm. It also supports a causal language model built on top of the retentive network. The implementation utilizes Microsoft's xPos for positional encoding, with an alternative complex value encoding available for specific use cases, though it requires higher precision and memory.

DuckDuckGo is an internet privacy company dedicated to empowering users to take control of their personal information online without tradeoffs. It offers a privacy-focused search engine that doesn't track searches, a web browser for various platforms (Mac, Windows, iPhone & iPad, Android), and browser extensions for popular browsers like Firefox, Chrome, and Edge. Key features include Web Tracking Protections, Email Protection with unique Duck Addresses, App Tracking Protection, and a VPN service. The platform also includes Duck.ai, an AI chat model, and Personal Information Removal services to help users remove their data from data broker sites.

antigravity-agent is an open-source tool designed for the effortless management of multiple Antigravity accounts. It allows users to quickly switch between accounts with a single click, eliminating the need for repetitive logins. The software automatically identifies and saves current account data, and offers secure backup functionality through password-encrypted export of account configurations, facilitating cross-device migration. A VSCode extension is also available, enabling users to switch accounts and view model quotas directly within their editor. The tool emphasizes security, distributing only through official GitHub Releases to protect sensitive account information.

1Setter is a macOS menu bar application designed to streamline access to system settings, eliminating the need to navigate through the System Settings app. It provides one-click access to over 30 built-in actions, covering common macOS settings and system tasks without requiring scripts or plugins. Users can create custom modes by grouping multiple actions into a single combo, perfect for specific scenarios like meetings, presentations, or focused work. The app also features online updates for new actions and improvements, ensuring it continues to evolve without frequent reinstalls. Key features include toggling Dark Mode, hiding desktop icons and widgets, preventing sleep, muting audio, and activating Night Shift.

Alluxio Open Source is a Distributed Caching Platform designed for large-scale data, specifically for analytics workloads. It acts as a data orchestration layer, allowing computation applications to connect to various storage systems through a common interface. Originating from UC Berkeley's AMPLab, Alluxio accelerates structured data analytics and is widely adopted with engines like Presto, Spark, and Trino. While the open-source edition is suitable for testing and small-scale production, the Enterprise Edition offers a decentralized metadata service for AI/ML workloads, supporting billions of files and providing FUSE-based POSIX integration for frameworks like PyTorch and TensorFlow.

SqueezeSeg is a TensorFlow-based implementation of convolutional neural networks designed for real-time road-object segmentation from 3D LiDAR point clouds. This repository provides the code for SqueezeSeg, a model that processes LiDAR data to identify and segment objects in a scene, crucial for applications like autonomous driving. The project also references SqueezeSegV2, a follow-up work with improved performance, and provides links to download converted datasets for training and validation. It includes instructions for installation, running a demo, and training/evaluating the model, making it a valuable resource for researchers and developers in the field of autonomous vehicles and computer vision.

Virtualworkforce.ai offers an AI email assistant designed to automate and streamline inbox operations for businesses. It learns from your existing mailbox and ERP systems to automatically label and route incoming emails, generate context-aware draft replies, and allow users to chat with their business data directly from their inbox. The platform integrates seamlessly with Gmail and Outlook, supporting both Google Workspace and Microsoft 365 environments. Key capabilities include AI labeling and triage, AI draft email generation, AI chat with business data, and datasource integration with PDFs, knowledge bases, and email threads. It also features upcoming AI document processing for extracting and validating data. Virtualworkforce.ai aims to reduce manual workload, improve response times, and free up employees for higher-value tasks, claiming measurable time savings within the first week of implementation.

agent-device is a command-line interface (CLI) designed for AI agents to control and observe iOS, tvOS, macOS, Android, and AndroidTV devices. It facilitates UI automation by providing structured snapshots of the accessibility tree, allowing agents to understand and interact with mobile UIs efficiently. The tool supports deterministic interactions, session-aware workflows, and replayable flows, making it suitable for repeated automation runs and debugging. Key features include inspecting UI states, collecting logs, network inspection, and performance snapshots. It also integrates with React DevTools for deeper component-level insights, making it a comprehensive solution for agent-driven mobile app testing and automation.

ResnetGPT is an open-source project built with Resnet101 and GPT, designed to create an AI capable of playing the mobile game Honor of Kings. Developed using the PyTorch framework, it leverages a pre-trained Resnet101 model and a Transformer-based decoder for game actions. The project provides code for training the AI with gameplay data, including scripts for data capture and preprocessing. While the project is no longer actively updated, it serves as a foundational example for developing AI agents for complex game environments, requiring a dedicated NVIDIA graphics card and an Android device for operation.

EmojiIntelligence is an open-source project showcasing a neural network implemented entirely in Swift within Apple Playground. Designed to make machine learning and neural networks more accessible and fun, this tool allows users to experiment with teaching a machine to recognize emojis. The network features an input layer of 64 binary numbers derived from an 8x8 pixel image, a hidden layer, and an output layer, all fully-connected with weighted connections and a sigmoid activation function. It's an excellent resource for students and developers looking to understand the fundamentals of neural networks and machine learning through a practical, interactive example on macOS.

Real-time-stock-market-prediction is an open-source project that offers a complete server-side architecture for real-time stock market prediction using Machine Learning. It leverages TensorFlow.js for building the ML model architecture and Kafka for efficient real-time data streaming and pipelining. The system integrates MongoDB for updating databases with incoming stock market logs, enabling analysis and model training, and storing model performance. Developed entirely with Node.js, this architecture supports parallel processing for real-time analysis, ML model training, and prediction, making it suitable for those interested in applying machine learning to financial market analysis and developing robust predictive models.

Poker is a fully functional poker bot designed to automate gameplay on popular platforms like PartyPoker, PokerStars, and GGPoker. It employs advanced image recognition techniques, including Open-CV or neural networks, to scrape table information. Decisions are then made using a sophisticated combination of genetic algorithms and Monte Carlo simulations for accurate poker equity calculation. The bot can operate for extended periods, moving the mouse automatically based on a large number of adjustable parameters. Users can download binaries for direct execution and even run the bot within a virtual machine to prevent interference with their main computer. It also features a strategy analyzer and editor, allowing for customization and optimization of playing strategies.

Chatto: AI Story & Character is an iOS mobile application focused on AI-driven conversational experiences and character creation. Users can interact with a wide array of unique AI personalities, fostering diverse conversations and creative storytelling. The platform emphasizes user privacy while providing an environment for continuous AI interaction. While the provided website content for 'Xiye APP' appears to be a medical app landing page and does not align with the description of Chatto, the core functionality of Chatto revolves around engaging with and developing AI characters for interactive narratives and discussions. This allows for personalized experiences and imaginative exploration within the app's community.

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.

Agent SOP (Standard Operating Procedures) is an open-source tool that enables AI agents to execute complex, multi-step tasks with consistency and reliability using natural language workflows. It leverages markdown-based instruction sets to define clear objectives, parameterized inputs, and step-by-step instructions with RFC 2119 constraints. This allows for the creation of reusable and shareable workflows across different AI systems and teams. Agent SOP supports multi-modal distribution, including MCP tools, Anthropic Skills, and Python modules. It also integrates with tools like Kiro CLI and Cursor IDE, allowing developers to generate and execute SOPs as commands within their development environments, streamlining prompt-driven development and task management.