chaxiu/munk-ai

Self-improving AI testing engine across Android, iOS, and Web. observed · 2026-08-28

github.com/chaxiu/munk-ai · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

Activity 98
Release rhythm 98
Longevity 7

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

gap_med: 16
age_days: 98
days_rel: 14
days_push: 14
n_releases_24m: 2

Full methodology

Adoption not part of the score

1081 stars · 102 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Munk AI (the open-source Munk Test CLI) is a local-first, self-improving AI testing engine that turns natural-language intent into product-level validation on real Android, iOS, and Web targets. It combines visual-first analysis, real-device execution, structured evidence (screenshots, UI trees, runtime logs), and a knowledge-accumulation loop, exposed via CLI, MCP, local API, and a local Web UI.

Use cases

automate mobile app testing on android and ios without writing xpath selectors
verify ui changes on real devices from natural-language test intent
set up an ai-powered testing gateway for coding agents
run visual-first regression tests for web apps
close the loop between code generation and device-level verification
collect screenshots, ui trees, and runtime logs as structured test evidence
improve test coverage over time from accumulated execution evidence

When to choose

You need real-device verification (Android, iOS, Web) instead of mocks, static analysis, or fragile selector-based tests
You want natural-language product requirements turned into automated validation for developers, QA, or coding agents
You want a local-first, privacy-conscious testing runtime that integrates via CLI, MCP, local API, or Web UI and supports CI regression

When to avoid

You need a traditional script-based test framework with fine-grained selector or assertion control
You need iOS device testing on Windows or Linux, which lack the iOS device bridge
You require a cloud-hosted device farm or grid at scale rather than a local-first runtime
You cannot configure the multimodal model backend the engine depends on

Facets

cli-tool · maturity active

e2e-testing testing computer-vision mcp testing developer-tools windows python cli ai-testing visual-testing real-device-testing self-improving test-automation qa mcp-server local-first coding-agents mobile-testing web-testing verification-loop no-xpath structured-evidence automation ai-agents macos linux android ios

5 sources

readme: https://github.com/chaxiu/munk-ai · fetched 2026-08-28 · 29452a737089
homepage: https://www.munk.sh/ · fetched 2026-08-29 · 3b9f437be045
site_page: https://www.munk.sh/docs · fetched 2026-08-29 · ef22646b2657
site_page: https://www.munk.sh/install · fetched 2026-08-29 · a76760bb894d
site_page: https://www.munk.sh/docs/ai · fetched 2026-08-29 · cd8556864f12

Member repositories

Repository	Role	Health v2
chaxiu/munk-ai	main	80

For agents

markdown · JSON · MCP: product_card(name="chaxiu/munk-ai")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem