AI News on July 10, 2026

RuView: Transforming Commercial WiFi Signals into Real-Time Spatial Intelligence and Vital Signs Monitoring
Industry News

RuView: Transforming Commercial WiFi Signals into Real-Time Spatial Intelligence and Vital Signs Monitoring

RuView, a project developed by ruvnet, introduces a groundbreaking approach to environmental sensing by repurposing ordinary commercial WiFi signals. The technology enables real-time spatial intelligence, presence detection, and vital signs monitoring without the use of traditional video cameras or pixel-based data. By leveraging existing WiFi infrastructure, RuView provides a sophisticated method for tracking human activity and health metrics while maintaining a strict privacy-first architecture. This innovation marks a significant shift in the field of spatial AI, offering a non-invasive alternative to optical surveillance systems in both residential and commercial environments.

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TencentCloud Launches TencentDB-Agent-Memory: A Local Long-Term Memory Solution for AI Agents with Zero API Dependencies
Open Source

TencentCloud Launches TencentDB-Agent-Memory: A Local Long-Term Memory Solution for AI Agents with Zero API Dependencies

TencentCloud has introduced TencentDB-Agent-Memory, an innovative open-source project designed to provide AI agents with full local long-term memory capabilities. By utilizing a unique four-stage progressive pipeline, the system enables AI agents to retain and recall information over extended periods without relying on external API calls. This development represents a significant step toward autonomous, privacy-focused AI by ensuring all memory processes remain within the local environment. The project, recently trending on GitHub, addresses the critical need for persistent memory in agentic workflows while eliminating the costs and security risks associated with third-party API dependencies.

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Exploring last30days-skill: A New AI Agent for Multi-Platform Research and Grounded Content Synthesis
Open Source

Exploring last30days-skill: A New AI Agent for Multi-Platform Research and Grounded Content Synthesis

The 'last30days-skill' is an emerging open-source AI agent skill developed by mvanhorn, recently gaining attention on GitHub. This tool is specifically designed to conduct comprehensive research across a diverse array of digital platforms, including Reddit, X (formerly Twitter), YouTube, Hacker News (HN), and Polymarket, in addition to the general web. Its primary objective is to aggregate information from these varied sources and synthesize it into grounded, well-informed summaries. By bridging the gap between real-time social discussions, video content, and prediction market data, last30days-skill offers a specialized approach to automated research. This development reflects a growing trend in the AI industry toward modular agent skills that can navigate complex, multi-platform environments to provide users with consolidated and contextually accurate insights.

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Argo CD: Advancing Declarative Continuous Deployment for Kubernetes Environments via the Argoproj Open Source Initiative
Open Source

Argo CD: Advancing Declarative Continuous Deployment for Kubernetes Environments via the Argoproj Open Source Initiative

Argo CD, a prominent project under the argoproj organization, continues to define the standards for declarative continuous deployment within Kubernetes ecosystems. By focusing on a GitOps-centric approach, the tool ensures that the desired state of applications is automatically synchronized with the live state in a cluster. Recently highlighted as a trending project on GitHub, Argo CD emphasizes the critical role of declarative configurations in modern cloud-native development. This methodology allows developers to manage infrastructure and application lifecycles through version-controlled repositories, enhancing security, auditability, and operational efficiency. As a core component of the Kubernetes landscape, Argo CD facilitates seamless deployment workflows, ensuring that complex environments remain consistent and resilient against configuration drift.

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OfficeCLI: The First Open-Source Office Suite Optimized for AI Agent Automation and Document Management
Open Source

OfficeCLI: The First Open-Source Office Suite Optimized for AI Agent Automation and Document Management

OfficeCLI, a new open-source project from iOfficeAI, has launched as the first Office suite specifically designed for AI agents. The tool enables the reading, editing, and automation of Microsoft Word, Excel, and PowerPoint files without requiring a local Microsoft Office installation. Distributed as a single binary, OfficeCLI offers a lightweight and efficient solution for developers looking to integrate document processing capabilities into AI workflows. By removing the dependency on heavy office software and providing a streamlined interface for automation, OfficeCLI addresses a critical need in the AI development ecosystem for handling legacy enterprise file formats. As a free and open-source utility, it aims to become the standard for AI-driven document manipulation.

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Comprehensive Collection of Leaked System Prompts for Claude Fable 5, GPT 5.5, and Gemini 3.5 Surfaces on GitHub
Industry News

Comprehensive Collection of Leaked System Prompts for Claude Fable 5, GPT 5.5, and Gemini 3.5 Surfaces on GitHub

A new GitHub repository titled "system_prompts_leaks" has emerged as a significant resource for the AI community, offering a detailed collection of system prompts extracted from the world's leading artificial intelligence models. Maintained by user asgeirtj, the repository includes internal instructions for high-profile models such as Anthropic’s Claude Fable 5 and Opus 4.8, OpenAI’s ChatGPT 5.5 Thinking and GPT 5.5 Instant, and Google’s Gemini 3.5 Flash and 3.1 Pro. The leak also extends to specialized AI tools including Claude Code, Cursor, GitHub Copilot, and Perplexity. These system prompts provide a rare glimpse into the operational constraints, behavioral guidelines, and safety protocols established by AI developers. The repository is reportedly updated on a regular basis, serving as a central hub for researchers and developers interested in the underlying logic of modern large language models.

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