Requirement-Driven Execution
Feed it your requirement docs and codebase. Munk AI automatically generates test plans and executes them on real devices, replacing text-based assumptions with real-world observations.
Start / Run
Whether the code is written by you or generated by a Coding Agent, Munk AI verifies the business logic directly on real devices. Powered by multi-modal AI, it completely eliminates the need for fragile UI selectors and automation scripts.
Built for local development, coding agents, and reproducible testing workflows.
Powerful verification capabilities
Parse requirement docs -> Execute tests Pull PR/MR changes -> Generate risk analysis Record human operation -> Generalize across devices Seamless MCP integration
The next-generation verification infrastructure for developers, coding agents, and CI workflows.
Core workflows
Munk AI is built for modern development, combining multi-modal perception, code-level understanding, and powerful generalization.
Feed it your requirement docs and codebase. Munk AI automatically generates test plans and executes them on real devices, replacing text-based assumptions with real-world observations.
Start / Run
Connect directly to your code changes. Munk AI analyzes the impact area to automatically generate structured review findings and precise verification plans before you merge.
Review / Verify Change
Record a human interaction trace once. Munk AI generalizes it into a robust test case that can be deployed across Android, iOS, and different device models for effortless compatibility testing.
Serve / Recording
Why Munk AI
Legacy UI automation is crippled by rigid selectors and platform barriers, while pure LLMs often hallucinate task success. Munk AI redefines testing infrastructure with multi-modal perception and powerful generalization.
Platform & Tech-stack Agnostic
Powerful Generalization Across Devices
Close the AI Coding Loop
Local-first & Secure
Use cases
Did the AI actually fix the UI? Run it on a real screen with Munk AI and get undeniable visual evidence instead of just a 'Task Completed' message.
Catch regression risks early. Generate review findings and precise verification guidelines based on the actual code change context before merging.
Record an operation once. Let Munk AI generalize and execute it across different devices and platforms without writing a single line of script.
Architecture
Integrate seamlessly via CLI, Local API, or MCP. The entire system is built on local-first principles to keep your code and data secure.
Architecture
CLI / Local API / MCP
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Requirement parsing & planning
+--> AI-driven device execution
+--> Code-aware change verification
+--> Recording & cross-device generalizationQuick start
Install the engine, run diagnostics, and start with a real goal.
Install and run
curl -fsSL https://get.munk.sh | sh munk doctor munk start --goal "Open Settings and enable Wi-Fi" --config /path/to/config.yaml
Prefer the runtime-based workflow for development, validation, and release verification.
Docs
Read the docs for installation, workflows, and generalization details.
Install Munk AI and run your first verification flow.
Understand workflows, multi-modal perception, and test generalization.
See how code-aware verification fits real change validation.
Learn how to record traces and run them across devices.
Install Munk AI, explore the docs, and start building a more grounded testing workflow.