11 open-source projects similar to gemini-cli-extensions/workspace, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Workspace alternative.
The Angular Command Line Interface is a tool for initializing, scaffolding, and managing the development lifecycle of Angular web applications from a terminal. It functions as a project manager and frontend build toolchain, providing a standardized way to bootstrap new applications and manage their overall health and configuration. The tool employs schematic-based code generation to create standardized project structures and components. It utilizes a workspace-based configuration to manage multiple related applications and libraries within a single shared root and dependency tree. The system
This project serves as an agentic browser controller, providing a programmatic bridge that enables autonomous software agents to navigate web pages and interact with document elements. It functions as a browser automation protocol, facilitating headless browser operations and automated web interactions to perform repetitive tasks and end-to-end testing without manual human input. The system distinguishes itself by utilizing the Chrome DevTools Protocol to establish a bidirectional communication channel with the browser engine. This allows for protocol-based remote control, where external appl
This repository is deprecated and has been replaced by firebase/agent-skills.
This repository contains Model Context Protocol (MCP) servers that enable MCP clients (like Claude Desktop or the cline.bot VS Code extension) to access Google's security products and services:
This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics.
The GenAI Toolbox is a framework designed to integrate large language models with structured databases, enabling autonomous data analysis and information retrieval. It functions as an agentic orchestrator that translates natural language prompts into executable database queries, allowing users to interact with complex data sources through conversational interfaces. The system distinguishes itself by utilizing schema-driven metadata serialization, which maps database structures into formats that language models can interpret to perform autonomous reasoning. By maintaining stateful conversation
MCP server to deploy apps to Cloud Run
Enable MCP-compatible AI agents to interact with Google Kubernetes Engine.
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