AI Agents & Automation

Graph-Learn, formerly AliGraph, is a robust and distributed framework designed for the development and application of large-scale graph neural networks (GNNs). Developed by Alibaba, it has been successfully deployed in various industrial scenarios such as search recommendation, network security, and knowledge graphs. The framework offers a comprehensive solution encompassing both GNN training and online inference services. Its training component supports sampling on batch graphs and incremental GNN model training, compatible with TensorFlow and PyTorch. The online inference service, Dynamic-Graph-Service, ensures real-time sampling on dynamic graphs with streaming updates, boasting P99 latency within 20ms for large-scale graphs. It provides Python, C++, and Java interfaces for flexible integration.

Ignite AI Partners specializes in helping retail and consumer services enterprises implement AI solutions that deliver real business impact. They move organizations from AI ambition to practical results by improving decision-making with data, automating time-consuming processes, and making sense of fragmented systems. Their unique AIPD framework provides a clear view of where AI can deliver the greatest impact and outlines the data, platforms, and ways of working required to support it. Beyond being an AI consultancy, they act as partners, offering deep industry expertise, bespoke strategies tailored to specific business needs, and a focus on measurable results without confusing tech jargon. They help businesses avoid common AI pitfalls like missed growth opportunities, wasted time and money, and costly errors by embedding intelligence into everyday operations.

Get Aman is an innovative AI host designed to transform website visitor engagement into tangible conversions. It acts as a 24/7 virtual salesperson, instantly welcoming and guiding visitors the moment they land on a website. The tool is engineered to understand visitor intent with 97% accuracy, adapt to individual users, and drive them to action without friction. Get Aman aims to make websites feel more interactive and personal, leading to increased visitor retention and conversion rates. It boasts impressive results, with users reporting significant increases in qualified leads, demo bookings, and overall visitor conversion. Setup is quick, taking as little as 10 minutes to go live.

Ivy is an open-source tool designed to facilitate the conversion of machine learning code between various popular frameworks. It enables developers to seamlessly transpile ML models, tools, and libraries, supporting conversions to and from PyTorch, TensorFlow, JAX, and NumPy. Key functionalities include `ivy.transpile()` for converting framework-specific code to a target framework, and `ivy.trace_graph()` for tracing efficient computational graphs. Ivy supports both eager and lazy transpilation, adapting to whether a class/function or a module is provided. This flexibility makes it a valuable resource for developers working in multi-framework environments, simplifying code portability and integration.

SQL Chat is an innovative chat-based SQL client and editor designed to streamline database interactions. It enables users to communicate with their SQL databases using natural language, making complex queries more accessible. The tool supports connecting to a local browser using an OpenAI API key for data storage, ensuring privacy and control. A key feature is its ability to remember previous conversations, allowing for seamless follow-up questions and corrections, which significantly boosts the efficiency of SQL-related tasks. This makes SQL Chat an ideal solution for developers and data professionals looking for a more intuitive and conversational way to manage and query their databases.

Mailr is an AI email assistant designed to streamline email communication by instantly writing and replying to messages. Available as a Chrome extension, it allows users to draft emails 10x faster by simply providing the goal of the email in a few words and choosing from over 10 custom tones, such as friendly, informal, or persuasive. This tool aims to save professionals hours each day spent on tedious email tasks, offering both a free tier with a 2,000-word limit and a premium tier for $4.99/month with 100,000+ words and early access to beta features. Mailr has been acquired by MailWiz, indicating ongoing development and support.

Unlost provides a structured program designed to assist students in navigating their post-school journey. Through 6 weekly one-on-one sessions with a trained near-peer facilitator, participants develop a clear and actionable plan for their future. The program focuses on creating concrete post-school plans, identifying contingency pathways, and fostering the confidence needed to pursue these goals. While the website content is minimal, the core offering revolves around personalized guidance and support for students transitioning out of school, aiming to reduce uncertainty and empower them with a strategic outlook.

Calendarly transforms your iPhone Lock Screen into an automated, private calendar display. It allows users to see their full daily schedule at a glance without needing to open an app. The tool offers extensive customization options, including various preset layouts, adjustable spacing, custom fonts, and unlimited color combinations, enabling users to personalize their calendar wallpaper. Calendarly operates entirely on-device, ensuring that all calendar data remains private and is never sent to servers or stored in the cloud. It works offline and does not require an account or collect any personal data, making it a privacy-friendly solution for staying organized and focused.

Bunney is a free and cute coupon finder designed to help users save money on their online purchases. It provides verified promo codes and deals for over 10,000 stores, aiming to offer significant discounts without the need for searching. The tool emphasizes a privacy-first approach, positioning itself as an alternative to coupon extensions that might track user data. Bunney is 100% free to use and focuses on delivering sweet deals and verified coupons to make online shopping more affordable and efficient. Users can simply type a shop name or paste a link to find available savings.

MobileVLM is a competent multimodal vision language model (MMVLM) specifically engineered to run efficiently on mobile devices. It integrates a novel architectural design, an improved training scheme tailored for mobile VLMs, and high-quality dataset curation to achieve superior performance. The tool comprises language models at 1.4B and 2.7B parameters, trained from scratch, and a multimodal vision model pre-trained in the CLIP fashion. MobileVLM V2, an enhanced version, demonstrates performance comparable to or exceeding much larger VLMs at the 3B and 7B+ scales, while maintaining state-of-the-art inference speeds on mobile hardware like Qualcomm Snapdragon 888 CPU and NVIDIA Jeston Orin GPU. It is an open-source project, providing training and inference code, along with publicly available weights on HuggingFace.

Keuzehulp Studio is a no-code platform designed to empower businesses to create intelligent decision-making tools, scenarios, and advice modules. It simplifies complex choices for customers by guiding them through structured conversations to personalized outcomes. The platform focuses on clarity and usability, enabling marketing, sales, and service teams to build sophisticated decision support systems without requiring any technical expertise. Users can easily design interactive choice helpers to enhance customer experience and streamline internal processes, making it an ideal solution for improving customer engagement and operational efficiency.

aignosi Brasil provides SIENTIA™, an innovative Industrial AIOps platform that enables companies to rapidly deploy and scale AI models in Operational Technology (OT) environments. The platform focuses on transforming data (DataOps) and model (MLOps) operations, helping businesses move AI proofs of concept (PoCs) into full production 10x faster. SIENTIA™ is already utilized by enterprise clients across various heavy-asset industries, handling millions of inferences per month with low latency. Beyond the platform, aignosi offers complementary services including AI Maturity Assessments, Analytical Transformation, and Analytical Core support to help clients create tailored AI solutions and optimize operational efficiency.

Megatron-LM is an NVIDIA-developed, GPU-optimized library designed for training large transformer models at scale. It comprises two main components: Megatron-LM, which offers pre-configured training scripts for research teams and quick experimentation, and Megatron Core, a composable library providing GPU-optimized building blocks for custom training frameworks. Megatron Core includes transformer building blocks, advanced parallelism strategies (TP, PP, DP, EP, CP), mixed precision support (FP16, BF16, FP8, FP4), and various model architectures. It's ideal for framework developers and ML engineers building custom training pipelines. The library also features Megatron Bridge for bidirectional Hugging Face ↔ Megatron checkpoint conversion, ensuring interoperability and production-ready recipes. It supports training models from 2B to 462B parameters across thousands of GPUs, achieving high Model FLOP Utilization (MFU).

Outside is a versatile tool designed to help individuals and teams organize, track, and share their work efficiently. It manages five distinct data types, with trips being one of them, providing a centralized platform for various organizational needs. This tool aims to simplify work management by consolidating different aspects into a single location, making it easier for both solo users and collaborative teams to stay on top of their projects and information. Its focus on managing multiple data types suggests a broad application for different organizational challenges.

MMSA is a comprehensive, open-source framework designed for Multimodal Sentiment Analysis (MSA). It allows users to train, test, and compare various MSA models within a single, unified environment. The framework supports 15 different MSA models, including recent advancements, and integrates with three key MSA datasets: MOSI, MOSEI, and CH-SIMS. MMSA is highly accessible, providing both Python APIs for programmatic integration and command-line tools for quick experimentation and deployment. Users can also experiment with fully customized multimodal features using the MMSA-FET toolkit. The project is packaged for easy installation via PyPI, making it straightforward to get started with sentiment analysis tasks.

MyBrain is a comprehensive productivity application and AI assistant that consolidates various organizational tools into a single platform. It allows users to manage tasks with priorities, sub-tasks, due dates, and reminders, and create notes that support markdown formatting for enhanced organization. The app also features a diary for daily mood recording and summary views with graphs, a bookmark manager for saving content from other apps, and a calendar with modern list and monthly views, including a home screen widget. A key differentiator is its commitment to privacy, operating locally with no data collection. The integrated AI assistant and agent help with daily workflows, enabling users to chat, attach objects, and request item creation or discovery within the app.

Founda is an AI product manager specifically designed for solo founders who need clear weekly focus and execution clarity. It learns about the product, highlights what's most important, and integrates tasks, roadmap, and review processes into a single, cohesive loop. The tool helps founders move their product forward by providing a clear next action, a current milestone, and a structured weekly review. Founda aims to reduce drift and second-guessing, ensuring founders can start real tasks without additional planning. It offers features like daily check-ins, task boards tied to milestones, and a product view that keeps context visible, making it easier to manage the week effectively.

AI Momentum Partners (AMP) is a technology services firm specializing in end-to-end AI strategy and execution. They guide businesses from initial AI roadmap development to real-world impact, focusing on accelerating growth, efficiency, and ROI. AMP offers tailored strategies and solutions, blending strategic rigor with hands-on execution. Their services cover experimentation, planning, implementation, and optimization of AI solutions, ensuring tangible AI-driven outcomes quickly. They differentiate themselves from traditional consulting firms and technical agencies by providing comprehensive support, ROI-driven strategies, custom AI solutions, and ongoing support with continuous improvement.

python-utcp is the official Python implementation of the Universal Tool Calling Protocol (UTCP), an open standard designed to allow AI agents to call any API directly, eliminating the need for additional middleware. It emphasizes scalability, extensibility, and interoperability, supporting a wide range of communication protocols through a modular, plugin-based architecture. Developers can easily integrate new protocols like HTTP, SSE, CLI, and more, or add custom tool storage and search strategies. The protocol is built on simple, well-defined Pydantic models, making it straightforward for developers to implement and use. This repository provides the core UTCP package, along with various protocol-specific plugins, and offers clear migration guides and usage examples for quick adoption.

PyMARL is a Python-based, open-source framework developed by WhiRL for deep multi-agent reinforcement learning. It provides implementations of several prominent algorithms, including QMIX for monotonic value function factorisation, COMA for counterfactual multi-agent policy gradients, VDN for value-decomposition networks, IQL for independent Q-learning, and QTRAN for learning to factorize with transformation. The framework is built using PyTorch and integrates with SMAC (StarCraft Multi-Agent Challenge) as its environment, specifically using SC2.4.6.2.69232 for the results in the SMAC paper. PyMARL supports saving and loading trained models, as well as watching StarCraft II replays, making it a comprehensive tool for researchers and developers in the multi-agent RL domain.

RQ-VAE-Recommender offers a PyTorch implementation of a generative retrieval model, specifically designed for recommender systems. The model operates in two stages: first, it maps items in a corpus to a tuple of semantic IDs by training an RQ-VAE. Second, it tokenizes sequences of these semantic IDs using a frozen RQ-VAE and then trains a transformer-based model to predict the next IDs in the sequence. This approach is based on the research presented in "Recommender Systems with Generative Retrieval." It supports various datasets, including Amazon Reviews (Beauty, Sports, Toys), MovieLens 1M, and MovieLens 32M, and provides both RQ-VAE and decoder-only retrieval model training scripts. Pre-trained checkpoints are available on Hugging Face for Amazon Beauty.

PyTriton is a Flask/FastAPI-like framework designed to streamline the use of NVIDIA's Triton Inference Server within Python environments. It allows developers to serve machine learning models with ease, supporting direct deployment from Python. Key features include native Python support for exposing any Python function as an HTTP/gRPC API, framework-agnostic operation compatible with PyTorch, TensorFlow, or JAX, and performance optimizations like dynamic batching, response caching, and model pipelining. The tool also provides decorators for handling batching and pre-processing, high-level model clients for HTTP/gRPC requests, and alpha support for streaming partial responses.

Sonara is an AI-powered platform designed to streamline and automate the job search process for individuals. It gets to know your skills and preferences, then continuously scans millions of job openings to find the best matches. The tool then automatically applies to these relevant positions, effectively multiplying the number of applications submitted with minimal effort from the user. Sonara aims to reclaim valuable hours for job seekers by handling the tedious grunt work of applications, allowing users to wake up to a curated list of new roles and significantly increase their application volume until they are hired.

ROSA (Robot Operating System Agent) is an AI Agent developed by NASA JPL, designed to facilitate interaction with ROS1- and ROS2-based robotics systems through natural language queries. Built on the Langchain framework, ROSA empowers robot developers to inspect, diagnose, understand, and operate robots more efficiently. It supports custom agent creation, allowing for adaptation to various robots and environments, and offers features like identifying topics with publishers but no subscribers. The tool includes a TurtleSim demo for controlling a simulated robot and is actively developing an IsaacSim extension for direct integration and control within the simulation environment.