
CUGA is an open-source agent harness that handles the technical infrastructure for building AI agents, allowing developers to focus on defining tools and prompts rather than writing the underlying orchestration code. The harness manages planning, execution loops, tool calls, state management, and includes features like reflection steps for self-correction and variable tracking across long-running tasks. The source material demonstrates this approach through two dozen example applications, each implemented as a single file, showing that building agentic applications becomes simpler when the foundational plumbing is pre-assembled and configurable rather than rebuilt from scratch each time.

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

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
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