What is the 'Neural Link'?

The Neural Link is a bi-directional bridge that connects AI agents (like Gemini or Claude) directly to the Neo.mjs runtime. It allows agents to 'see' the application's Scene Graph, inspect component state, verify event listeners, and even mutate the running application in real-time. This turns the application into a 'glass box' for AI, enabling autonomous debugging and feature development.

Why is Neo.mjs called an 'Application Engine' instead of a framework?

Traditional frameworks are general-purpose libraries (like a Toyota) that help you organize code, but they compile away into ephemeral DOM nodes. Neo.mjs is a precision-engineered runtime (like an F1 car), similar to Unreal Engine for games. It maintains a persistent 'Scene Graph' of objects in a separate worker thread. These objects retain their identity, state, and relationships, allowing for advanced capabilities like multi-window orchestration, runtime permutation, and deep AI introspection that are impossible with 'melted plastic' DOM-based frameworks.

What is 'Context Engineering'?

Context Engineering is the practice of curating the environment and information flow for AI agents to maximize their autonomy. In Neo.mjs, this is implemented via three Model Context Protocol (MCP) servers: a Knowledge Base for semantic code understanding, a Memory Core for learning from past sessions, and a GitHub Workflow server for project management. This ecosystem allows agents to work as fully integrated members of the development team.

What is 'Object Permanence' in the context of Neo.mjs?

In Neo.mjs, UI components are persistent JavaScript objects living in the App Worker, not just transient rendering results. This 'Object Permanence' means a component (like a Dashboard) maintains its state (scroll position, user input, internal logic) even if it is detached from the DOM or moved to a different browser window. This is the 'Lego Technic' approach versus the 'Duplo' approach of traditional frameworks.

What is an 'Agent Operating System'?

Neo.mjs v11 introduced the concept of an Agent OS, where the platform itself provides the tools and interfaces for AI agents to operate. It combines a standalone, type-safe AI SDK for autonomous 'Code Execution' with the Neural Link for runtime control. This enables agents to monitor, debug, and heal the application autonomously, effectively acting as an operating system for synthetic intelligence.

How does Neo.mjs handle multi-window applications?

Neo.mjs uses shared web workers to run a single application instance across multiple browser windows. All windows share the same application state and data in real-time. Components can even move between windows while retaining their JavaScript instances. This enables desktop-class experiences like multi-window IDEs, browser-based email clients, and multi-screen control rooms.

What makes Neo.mjs different from React, Angular, or Vue?

Neo.mjs is fundamentally different in its architecture: (1) It uses True Multithreading via web workers to prevent UI jank, (2) It is an AI-Native Application Engine with built-in bridges for AI collaboration, and (3) It treats components as persistent objects in a Scene Graph, enabling native multi-window support and runtime permutation.

Frontmatter

id	9834
title	Testing: Expand Neural Link Fixture to Expose Layout and Interaction SDK
state	Closed
labels	enhancementaitesting
assignees	tobiu
createdAt	Apr 9, 2026, 10:15 PM
updatedAt	Apr 9, 2026, 10:15 PM
githubUrl	https://github.com/neomjs/neo/issues/9834
author	tobiu
commentsCount	1
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Apr 9, 2026, 10:15 PM

Testing: Expand Neural Link Fixture to Expose Layout and Interaction SDK

Name: Neo.mjs Application Engine
Author: Neo.mjs

Closedenhancementaitesting

tobiu commented on Apr 9, 2026, 10:15 PM

Background

The neuralLink Playwright fixture previously only exposed a narrow set of instance-fetching methods. To test complex layouts like the Grid Multi-Body architecture without brittle generic locators, we need deeper introspection.

Objective

Expand the Neural Link MCP Fixture to expose the full ai/Client.mjs backend for tests, allowing Playwright E2E tests to execute native component simulation, VDOM querying, bounds checking, and runtime state inspection.

Scope

Update test/playwright/fixtures.mjs to map internal ComponentService, InteractionService, DataService, and RuntimeService methods to the nl object.
Apply the "Anchor & Echo" Knowledge Base strategy (JSDoc) to all new fixture methods to ensure the AI swarm can properly infer their usage natively without hallucinating.

tobiu added the enhancement label on Apr 9, 2026, 10:15 PM

tobiu added the ai label on Apr 9, 2026, 10:15 PM

tobiu added the testing label on Apr 9, 2026, 10:15 PM

tobiu assigned to @tobiu on Apr 9, 2026, 10:15 PM

tobiu Apr 9, 2026, 10:15 PM

Input from Antigravity (Gemini 3.1 Pro):

✦ I have fully expanded the neuralLink Playwright fixture in test/playwright/fixtures.mjs to map the ComponentService, InteractionService, DataService, and RuntimeService.

To ensure contextual completeness for the swarm, I applied the Anchor & Echo JSDoc strategy to all exposed methods.

Finally, I updated the WhiteboxE2E.md guide to showcase these new capabilities for upcoming grid architecture testing.

This code is committed and pushed. Closing this issue to fulfill the formal Ticket Gate protocol.

tobiu referenced in commit 92c75b3 - "test: Expand Neural Link fixture APIs and add JSDoc (#9834)" on Apr 9, 2026, 10:15 PM

tobiu closed this issue on Apr 9, 2026, 10:15 PM