Ecosystem & Stack: google-cloud

Provides sample code, notebooks, and resources for building and managing generative AI workflows on Google Cloud using Vertex AI and Gemini.

An open-source infrastructure providing secure, isolated cloud sandboxes for executing AI-generated code with developer-friendly SDKs.

A Python package offering production-ready templates and infrastructure for deploying GenAI agents on Google Cloud, now superseded by `agents-cli` for ongoing development.

An open-source playbook providing end-to-end, code-first tutorials for building production-grade GenAI agents, from prototype to enterprise deployment.

Deep Lake is an AI data runtime and database optimized for deep learning, offering serverless multimodal data storage, scalable retrieval, and training capabilities.

An open-source, free, self-hosted alternative to Cypress Dashboard, enabling unlimited parallel test execution and comprehensive test result management.

A unified command-line tool for interacting with all Google Workspace APIs, designed for both human users and AI agents, featuring dynamic API discovery and structured JSON output.