AI Agents & Automation
Browsing page 482 of AI Agents & Automation. Sorted by confidence score — our independent quality rating.
Causal Foundry
Causal Foundry offers Kenkai, an adaptive AI platform designed for real-time personalization, optimization, and scalable decision-making. Built on ClickHouse, Kenkai streams and queries high-resolution data instantly, enabling enterprise-scale interventions. It leverages reinforcement learning and contextual bandits to continuously optimize engagement strategies through experimentation and adaptation. The platform also includes embedded metrics and analytics, allowing users to define governed metrics once and explore them everywhere, integrating live dashboards directly into existing systems without black boxes. Causal Foundry aims to democratize reinforcement learning for organizations worldwide, adapting to individual preferences, environments, and behaviors.
PaddleSpeech
PaddleSpeech is an open-source, easy-to-use speech toolkit built on the PaddlePaddle platform, designed for a variety of critical tasks in speech and audio. It features state-of-the-art and influential models, including self-supervised learning, streaming Automatic Speech Recognition (ASR) with punctuation, and streaming Text-to-Speech (TTS) with a robust text frontend. The toolkit also supports Speaker Verification, End-to-End Speech Translation, and Keyword Spotting. Recognized with the NAACL2022 Best Demo Award, PaddleSpeech aims to empower both industrial applications and academic research through its efficient, flexible, and scalable implementation, offering modules for training, inference, testing, and deployment.
Harmony AI Email Assistant
Harmony Weekly Planner is an iOS application designed to help individuals achieve work-life harmony by focusing on mission-driven planning. Users can define a personal mission statement through a guided process and then plan their weeks around various life roles such as 'Husband,' 'Father,' or 'Professional.' The app encourages setting 1-2 meaningful goals for each role weekly, ensuring all important areas of life receive attention. Key features include native iOS alarm notifications to make important tasks urgent, Home Screen widgets for mission statements and weekly goals, and local-first data storage for privacy. Harmony aims to simplify planning and help users prioritize what truly matters, moving beyond traditional to-do lists.
Cartoon App - Cartoon Yourself
Cartoon App - Cartoon Yourself is an iOS mobile application designed to help users easily transform their photos into cartoon-style digital art. With a single tap, individuals can "toon" themselves and create unique avatars directly from their photo album or by taking new pictures. The application respects and protects user privacy, outlining its data usage in a privacy policy. It offers a straightforward way to personalize images for fun or social sharing, with a subscription option available to unlock the comic face generation function.
rome
ROME (Rank-One Model Editing) is an open-source tool designed for researchers and developers to precisely locate and modify factual associations within large language models, specifically GPT-2 XL and GPT-J. This GPU-only implementation allows for targeted editing of model knowledge without extensive retraining. It provides functionalities for causal tracing to understand model behavior and a straightforward API for specifying rewrite requests. The repository includes evaluation suites for benchmarking editing methods against CounterFact, making it a valuable resource for advancing research in model interpretability and editability. Users can also integrate new editing methods for comparative analysis.
bili-hardcore
bili-hardcore is an AI-powered tool designed to automate the process of answering questions for Bilibili's hardcore member exams. Unlike OCR-based solutions, it directly interacts with the Bilibili API, ensuring higher accuracy and efficiency. The tool supports various large language models, including DeepSeek (V3.1) and Gemini (gemini-2.5-flash), with options for custom OpenAI-style APIs like those from Volcengine and SiliconFlow. Users can configure their preferred model and API key, and the tool handles the login via QR code and automatic question answering. It's crucial for users to have a Bilibili account at level 6 or above to participate in the hardcore member trials. The tool also provides guidance on troubleshooting common issues like QR code display problems, low accuracy, or API errors, and emphasizes responsible use in compliance with Bilibili's rules.
trfl
TRFL (pronounced "truffle") is an open-source library developed by Google DeepMind, designed to simplify the implementation of Reinforcement Learning (RL) agents using TensorFlow. It offers a collection of essential building blocks and loss functions, such as Q-learning, that are crucial for developing and experimenting with various RL algorithms. The library integrates seamlessly with existing TensorFlow environments, allowing developers to leverage its powerful computational graph capabilities. TRFL does not list TensorFlow as a direct requirement, giving users flexibility to install specific CPU or GPU versions, along with TensorFlow Probability, separately. This modular approach makes it a valuable resource for researchers and practitioners in the field of AI and machine learning.
Cerebro
Cerebro is an AI-powered knowledge management tool designed to elevate thinking by seamlessly organizing, connecting, and amplifying ideas. It addresses information overload by allowing users to save content from videos, articles, and PDFs, which are then transformed into searchable and actionable knowledge. Users can ask natural language questions to instantly get precise answers from their content, powered by Cerebro's AI, Nova. The tool automatically analyzes content, captures key insights, and highlights important information, acting like a brilliant assistant. It also helps users see hidden connections between their ideas, fostering a growing knowledge network. Cerebro aims to help users process more information, miss less, and make better connections across their content, ultimately transforming long-form media into clear, actionable insights.
KEF Robotics
KEF Robotics specializes in state-of-the-art autonomy software designed to enable aircraft and Unmanned Aircraft Systems (UAS) to fly without human intervention. At its core, the company utilizes advanced computer vision algorithms that process camera data to facilitate autonomous flight across a diverse range of platforms and use cases. The primary mission of KEF Robotics is to enhance the safety and reliability of aircraft operations, while simultaneously expanding their operational range and utility. Founded in Pittsburgh in 2018, KEF Robotics aims to integrate its technology with existing UAS systems, offering a solution for advanced aerial autonomy.
Pheme
Pheme is an AI chatbot hosted on Hugging Face Spaces by PolyAI. It provides a platform for users to engage with an AI for various purposes, potentially including educational or entertainment interactions. While the live website indicates a runtime error due to scheduling failure and insufficient hardware capacity, the tool's presence on Hugging Face suggests it is intended to be a publicly accessible AI application. It is offered for free, making it an accessible option for those looking to experiment with conversational AI.
RegGenome
RegGenome provides high-quality regulatory data by transforming fragmented, unstructured regulation into machine-readable, machine-consumable source-linked data. This structured data is designed to power the next generation of compliance, GRC, and regulatory systems, enabling earlier signal detection, reliable change tracking, and audit-ready outputs. The platform offers three modular layers: AI-optimised Data for faster compliance tools, a Control & Obligations Library for accelerating control mapping, and a Policy Intelligence Suite for evidence-based benchmarking and framework assessments. RegGenome serves solution providers and regulators, helping them reduce content development overheads, accelerate feature delivery, and align regulatory publishing with digitisation and AI. Founded at the University of Cambridge, its data is built for trust and reviewed with regulators.
openclaw-skills
Openclaw-skills, hosted on GitHub as BankrBot/skills, is a comprehensive open-source library designed to equip builders with plug-and-play tools for creating more powerful AI agents. It offers a diverse set of skills covering various domains, including on-chain financial operations like token launching, scam analysis, and liquidity management, as well as social media automation for platforms like Twitter/X and Farcaster. The library also includes tools for agent identity management, decentralized task marketplaces, and privacy-preserving transactions. Developers can contribute new skills via pull requests, expanding the capabilities of AI agents in finance, social interaction, and other areas. The project emphasizes modularity and ease of integration for agent builders.
NSWR
Blabla is an AI-powered social media management platform designed to help businesses and creators boost sales, increase engagement, and protect their brand reputation across Instagram, TikTok, YouTube, and Facebook. It offers an all-in-one inbox to unify comments and DMs, smart AI for automated replies trained to your brand voice, and powerful automations to nurture leads and convert interactions into paying customers. The tool also provides robust moderation features to detect and hide harmful comments, spam, and scams, ensuring a safe online presence. With Blabla, users can track performance, collaborate with teams, and save time with pre-saved replies, making social media management efficient and effective.
Point-BERT
Point-BERT is a PyTorch implementation of a novel pre-training paradigm for 3D point cloud Transformers, introduced in CVPR 2022. Inspired by BERT, it utilizes a Masked Point Modeling (MPM) task where point clouds are divided into local patches, and a discrete Variational AutoEncoder (dVAE) tokenizes these patches. The pre-training objective involves recovering original point tokens at masked locations, supervised by the dVAE's output. This method significantly advances the capabilities of Transformers for 3D data, facilitating tasks like classification on ModelNet40 and ScanObjectNN, few-shot learning, and part segmentation on ShapeNetPart. It is an essential tool for researchers and engineers working with 3D point cloud analysis.
OpenCat-Quadruped-Robot
OpenCat-Quadruped-Robot is an open-source framework designed for building and programming quadruped robots, inspired by Boston Dynamics' Spot. Developed by Petoi, it powers their Bittle robot dog and Nybble robot cat platforms. The framework simplifies complex tasks like gait coordination, servo control, and IMU integration, allowing users to focus on higher-level applications. It supports multiple languages including C/C++, Python, and block-based coding, and is compatible with Arduino and Raspberry Pi. OpenCat is utilized in K-12 schools, university research labs, and maker spaces for STEM education, IoT robotics, AI-enhanced applications, and DIY robotics kit development. It also supports sensor integration, simulation-to-real-world experiments, and is ROS compatible for advanced applications like SLAM and navigation.
AI Browser - Safety & Fast
AI Browser is an Android mobile application designed to offer users a secure and private web browsing experience. It prioritizes user privacy by including an incognito mode, ensuring that no browsing history or traces are left behind after a session. Beyond privacy, the app enhances user productivity by providing a personalized, real-time news feed, keeping users updated with relevant information. Additionally, it features a built-in capability to download videos directly within the app, streamlining content consumption on the go. This combination of security, personalization, and utility makes AI Browser a comprehensive solution for mobile web users.
hear
Hear is an AI-powered contact center intelligence platform designed for CX leaders to optimize agents, gain insights, and significantly improve customer satisfaction. The platform offers autonomous, AI-native clarity, eliminating the need for dashboards or manual work by providing proactive insights and 100% visibility. It caters to various roles including Customer Experience, Compliance, Operations, and Sales & Marketing, helping teams act on insights rather than just waiting for them. Key features include automated compliance monitoring, AI-driven insights to streamline workflows, and identification of sales opportunities. Hear integrates seamlessly with existing platforms, ensuring security and privacy are built-in, not bolted on.
BotCircuits
BotCircuits is a platform designed to help businesses build and deploy reliable AI agents for customer operations. These agents can handle real business tasks across various functions like support, operations, and growth, delivering measurable results. The platform emphasizes ease of use, fast deployment, and reliability, addressing common challenges with complex and untrustworthy AI in critical customer interactions. Users can create AI agents using prompts or a visual builder, train them with their own data (URLs, PDFs, CSVs), and test their performance before integrating them with chat, voice, and messaging apps. BotCircuits is built for enterprise scale, offering always-on reliability, trusted security, advanced workflows, and rapid deployment capabilities.
self-attention-cv
Self-attention-cv is an open-source repository offering implementations of diverse self-attention mechanisms specifically tailored for computer vision applications. Built in PyTorch, it leverages `einsum` and `einops` for efficient and flexible module creation. The repository serves as an ongoing collection of building blocks, enabling developers to integrate advanced attention models into their projects. It supports a range of computer vision tasks, including image recognition and segmentation, with examples for Multi-head attention, Axial attention, Vision Transformers (ViT), and TransUnet. It also includes various positional embedding implementations.
Evergrowth
Evergrowth is an Agentic GTM Workspace that leverages 13 specialized AI agents to transform B2B sales operations. These digital colleagues work alongside sales teams to research accounts, qualify leads against ICP criteria, enrich contact data through 20+ vendors, and generate highly personalized outreach. The platform consolidates multiple GTM tools into a unified workspace, enabling RevOps to build and manage agent workflows while sales reps collaborate with agents as digital colleagues. It features an Agent Training Center where teams define ICPs, personas, and value propositions, ensuring consistent, context-driven sales intelligence across all interactions. Evergrowth aims to shift from data-driven to context-driven GTM, improving lead quality and sales efficiency.
Enclap
Enclap is an AI Agents & Automation tool available on Hugging Face Spaces, designed to showcase and facilitate interaction with machine learning applications developed by the community. While the specific functionalities of the 'enclap' application itself are not detailed, the platform serves as a hub for discovering and engaging with diverse AI agents. The project is managed by the EnClap Team and is categorized as an AI Application. It operates as a web-based tool, making it accessible to a broad audience interested in exploring community-driven AI innovations. The current status indicates a runtime error, suggesting it may be under development or experiencing temporary issues.
Sevensense
Sevensense offers Visual AI technology designed to empower mobile robots and industrial vehicles to operate effectively in complex, dynamic environments. Their core products, Alphasense Position and Alphasense Tracker, provide industry-grade Visual-SLAM (Simultaneous Localization and Mapping) for autonomous mobile robots (AMRs) and a real-time locating system (RTLS) for manually operated industrial trucks, respectively. This technology allows for unified mapping and spatial awareness across hybrid fleets, enhancing efficiency, reducing operational costs, and improving safety through collision prevention and predictive risk alerts. Sevensense's camera-based positioning eliminates the need for extensive infrastructure, facilitating quick deployment and easy fleet expansion. The system integrates seamlessly with existing FMS, WMS, and ERP systems, transforming vehicle movements into actionable data for smarter operations.
OpenFace
OpenFace is a state-of-the-art, open-source toolkit designed for comprehensive facial behavior analysis. It enables real-time facial landmark detection, accurate head pose estimation, robust facial action unit recognition, and precise eye-gaze estimation. Developed by Tadas Baltrušaitis in collaboration with CMU MultiComp Lab, OpenFace is intended for computer vision and machine learning researchers, as well as the affective computing community. The tool stands out for its ability to run efficiently from a simple webcam without requiring specialized hardware, making advanced facial analysis accessible. It provides source code for both running and training models, ensuring flexibility and extensibility for research and application development.
llama2-webui
llama2-webui is an open-source tool designed for running Llama 2 models locally through a Gradio web UI. It offers broad compatibility, supporting all Llama 2 models (7B, 13B, 70B, GPTQ, GGML, GGUF, CodeLlama) and various backends like transformers, bitsandbytes (8-bit inference), AutoGPTQ (4-bit inference), and llama.cpp. The tool can be deployed on Linux, Windows, and Mac, utilizing either GPU or CPU resources. Developers can also leverage `llama2-wrapper` as a local Llama 2 backend for generative agents and applications, and it provides an OpenAI-compatible API for seamless integration with existing clients and libraries. Benchmarking scripts are included to evaluate performance on different devices.