
OpenClaw just released native companion apps for iOS and Android. The iOS app is listed as ‘OpenClaw – AI that does things.’ Both apps are free to download. They are not standalone chatbots. Each phone becomes a node in a self-hosted agent network. The assistant itself runs on a separate Gateway. That separation is the whole design. TL;DR OpenClaw’s iOS and Android apps are companion nodes, not standalone assistants. The Gateway runs the agent; phones add came
OpenClaw is an open-source personal AI assistant that runs on a central Gateway device while iOS and Android companion apps function as nodes that add hardware capabilities like camera, location, and voice to the agent's workflows. The system is built around a separation of concerns where the Gateway handles all core logic, sessions, and routing, while phones serve as peripherals that expose device-specific functions through a WebSocket connection. This architecture matters because it allows users to control an AI agent through existing chat apps like WhatsApp and Telegram while keeping chat messages centralized on their own hardware rather than distributed across devices. The setup requires users to run a Gateway on their own machine or server and then pair phones by approval, with privacy-heavy commands like camera access requiring explicit opt-in configuration.

In this tutorial, we build an advanced, Colab-ready workflow around PyGraphistry for interactive graph analytics and visualization. We start by creating a realistic enterprise-style access dataset, transforming it into nodes and edges, and enriching the graph with risk scores, anomaly indicators, centrality metrics, community detection, and layout embeddings. We then use PyGraphistry to bind graph structure, visual encodings, labels, tooltips, and filtered subgraphs, and to generate local inter

AI scientists are becoming a new interface for scientific computing. These agents read papers, write code, generate hypotheses, call APIs, and inspect files. But science is not software engineering. No test suite turns green when a hypothesis is correct. Discovery stays iterative, uncertain, and grounded in the physical world. That gap is what NVIDIA is targeting. NVIDIA published a hands-on walkthrough for its BioNeMo Agent Toolkit. The argument is direct. A general coding agent pointed at

Google is expanding Gemini’s personalized AI image generation to eligible free users in the U.S., allowing the chatbot to create images based on your interests and data from connected Google apps.
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