Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
Google Agentspace enables the agent-driven enterprise | Google Cloud Blog
Google Agentspace introduces new expert AI agents, no-code Agent Assembler, access via Chrome Enterprise, and more.
Hermes Workspace · Your AI agent’s command center
Chat, memory, skills, terminal, and files — one interface for everything your agent does.
trycua/acu
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Explore how Google, Amazon, and Cisco form the Agent2Agent Foundation under the Linux Foundation to drive AI innovation via interoperability as an industry standard.
goose | Your open source AI agent
Your native open source AI agent. Desktop app, CLI, and API — for code, workflows, and everything in between.
Google AI Plans with Cloud Storage - Google One
Explore Google AI Plans. Access our most advanced AI, generate videos from text, and secure cloud storage.
Google maps the future of AI agents: Five lessons for businesses
Google's groundbreaking white paper reveals how AI agents leverage advanced reasoning, real-time data access and autonomous decision-making.
Moltbook is the most interesting place on the internet right now
The hottest project in AI right now is Clawdbot, renamed to Moltbot, renamed to OpenClaw. It’s an open source implementation of the digital personal assistant pattern, built by Peter Steinberger …
Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
Claude Code is an agentic coding tool that can run shell commands, edit files, and call external services on behalf of the user. This study describes its comprehensive architecture by analyzing the publicly available TypeScript source code and further comparing it with OpenClaw, an independent open-source AI agent system that answers many of the same design questions from a different deployment context. Our analysis identifies five human values, philosophies, and needs that motivate the architecture (human decision authority, safety and security, reliable execution, capability amplification, and contextual adaptability) and traces them through thirteen design principles to specific implementation choices. The core of the system is a simple while-loop that calls the model, runs tools, and repeats. Most of the code, however, lives in the systems around this loop: a permission system with seven modes and an ML-based classifier, a five-layer compaction pipeline for context management, four extensibility mechanisms (MCP, plugins, skills, and hooks), a subagent delegation mechanism with worktree isolation, and append-oriented session storage. A comparison with OpenClaw, a multi-channel personal assistant gateway, shows that the same recurring design questions produce different architectural answers when the deployment context changes: from per-action safety classification to perimeter-level access control, from a single CLI loop to an embedded runtime within a gateway control plane, and from context-window extensions to gateway-wide capability registration. We finally identify six open design directions for future agent systems, grounded in recent empirical, architectural, and policy literature.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
An open specification for finding and verifying tools, skills, and agents across the web.Agents are ...
Google for Developers Blog - News about Web, Mobile, AI and Cloud
An open specification for finding and verifying tools, skills, and agents across the web.Agents are ...
Zero-click searches: Google’s AI tools are the culmination of its hubris
Google's first year with AI search was a wild ride. It will get wilder.
GitHub - Responsible-Dataset-Sharing/easy-dataset-share: A CLI tool that helps AI researchers share datasets responsibly.
A CLI tool that helps AI researchers share datasets responsibly. - Responsible-Dataset-Sharing/easy-dataset-share
Installing the Google Cloud CLI Docker image | Google Cloud SDK | Google Cloud Documentation
The Google Cloud CLI Docker image lets you pull a specific version of gcloud CLI as a Docker image from Artifact Registry and quickly execute Google Cloud CLI commands in an isolated, correctly configured container.
WeSight - Run CLI Agents from One Desktop App
WeSight is an open-source desktop AI Agent workspace for CLI agents, local runtimes, model providers, permission events, skills, scheduled tasks, memory, and an Obsidian plugin.
