UI Component library for Zeev BPMS
Test generation (Maestro UI flows + XCTest/Gradle unit tests) for the appifex-dtc pipeline
Maestro by EvalOps - Deterministic coding agent with TUI/CLI and Web UI for AI-assisted development
Requirements:
This library provides objects, types and zod schemas for NextGen tenant to work with Maestro
This library provides common definitions for Maestro.
Maestro — Autonomous AI agent operating system. Deploy AI employees on dedicated Mac minis.
Better cloud maestro testing
All Maestro workflow commands as a single Claude Code skill — intent routing, decision gates, minimal closed-loop chains
Workflow orchestration CLI with MCP endpoint support and extensible architecture
Create, debug, and run Maestro projects and jobs.
Embeddable, provider-agnostic TypeScript agent SDK — pluggable providers, built-in tools, skills, memory, and MCP.
Multi-agent development orchestration platform — 39 specialists, 4-phase workflows, 4 runtime targets (Gemini CLI, Claude Code, OpenAI Codex, Qwen Code)
Maestro is a framework for quickly bootstrapping serverless orchestration workflows with AWS Step Functions
Official SDK for integrating Maestro interactive features into web and TV streaming applications.
This library provides shared objects, types and zod schemas for Maestro
An executable compiler for creating Maestro's yaml-flows with typescript.
A library for determining credit card type
Mach CLI: Cloud Build Orchestrator for React Native & Expo
> A local job queue for [Maestro](https://maestro.mobile.dev) UI tests. Share simulators and emulators across parallel git worktrees and AI coding agents on one machine.
Detect synchronously if the app is currently running in an E2E test environment with maestro
React surface for the Maestro agent runtime. Ships the MaestroChatProtocol, a headless useMaestroChat hook with HTTP-SSE / AI-SDK / legacy-SSE transports, and a composed UI primitive set (ChatLauncher + ChatSheet + ChatPanel for bubble mode, ChatPanel sta
Runtime kernel for the Maestro agent platform — tool envelope, tool definition factory, base context, port interfaces, and AI-SDK + MCP adapters.
Maestro mobile testing analytics — JUnit/artifact parsing, step-level timing, AI defect aggregation, visual regression tracking, and interactive HTML reports