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	9462
title	TreeGrid Big Data Demo: Scaffold Base Directory and Files
state	Closed
labels	enhancementaigrid
assignees	tobiu
createdAt	Mar 13, 2026, 12:06 PM
updatedAt	Mar 13, 2026, 12:32 PM
githubUrl	https://github.com/neomjs/neo/issues/9462
author	tobiu
commentsCount	1
parentIssue	9461
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Mar 13, 2026, 12:32 PM

TreeGrid Big Data Demo: Scaffold Base Directory and Files

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

Closed v12.1.0 enhancementaigrid

tobiu commented on Mar 13, 2026, 12:06 PM

Goal

Scaffold the base directory and initial class files for the examples/grid/treeBigData demo. This provides the structural foundation for the remaining tasks in the epic.

Implementation Steps

Create the new directory: examples/grid/treeBigData
Create MainContainer.mjs extending Neo.container.Viewport. It should contain the GridContainer and ControlsContainer in an hbox layout (similar to the bigData demo).
Create a placeholder GridContainer.mjs extending Neo.grid.Tree (similar to the tree demo, but prepared for dynamic columns).
Create a placeholder ControlsContainer.mjs extending Neo.container.Base.
Create a placeholder MainStore.mjs extending Neo.data.TreeStore.
Create MainModel.mjs extending Neo.data.TreeModel.

Dependencies

None. This is the first step of the Epic.

tobiu added the enhancement label on Mar 13, 2026, 12:06 PM

tobiu added the ai label on Mar 13, 2026, 12:06 PM

tobiu added the grid label on Mar 13, 2026, 12:06 PM

tobiu assigned to @tobiu on Mar 13, 2026, 12:07 PM

tobiu added parent issue #9461 on Mar 13, 2026, 12:07 PM

tobiu referenced in commit a2a7831 - "#9462 initial starting point, copying the bigData grid example, adjusting all namespaces, scss" on Mar 13, 2026, 12:28 PM

tobiu Mar 13, 2026, 12:31 PM

Scaffolding is completed via commit a2a7831050237d4bfe91091a4acb4a15df9c5a84 by the user.

tobiu closed this issue on Mar 13, 2026, 12:32 PM