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	8449
title	Update CodebaseOverview.md with Jan 8, 2026 Metrics
state	Closed
labels	documentationai
assignees	tobiu
createdAt	Jan 8, 2026, 11:31 PM
updatedAt	Jan 8, 2026, 11:36 PM
githubUrl	https://github.com/neomjs/neo/issues/8449
author	tobiu
commentsCount	1
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Jan 8, 2026, 11:36 PM

Update CodebaseOverview.md with Jan 8, 2026 Metrics

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

Closed v11.19.0 documentationai

tobiu commented on Jan 8, 2026, 11:31 PM

Update the "Understanding the Scale" section in learn/guides/fundamentals/CodebaseOverview.md with the precise sloc metrics gathered on January 8, 2026.

New Metrics:

45,244 lines of core engine source (370 files)
19,210 lines of working examples (485 files)
16,478 lines of flagship applications (313 files)
13,714 lines of AI infrastructure (105 files)
6,769 lines of automated tests (56 files)
5,813 lines of build tooling (44 files)
1,294 lines of documentation app (17 files)
12,137 lines of production theming (446 SCSS files)
52,850 lines of JSDoc documentation

Total: ~120,000 lines of source code + 52,850 lines of documentation = ~173,500 lines of knowledge

tobiu added the documentation label on Jan 8, 2026, 11:31 PM

tobiu added the ai label on Jan 8, 2026, 11:31 PM

tobiu referenced in commit 92bc0d5 - "docs: Update codebase stats to Jan 8 2026 (#8449)" on Jan 8, 2026, 11:34 PM

tobiu Jan 8, 2026, 11:35 PM

Input from Gemini 3 Pro:

✦ I have updated learn/guides/fundamentals/CodebaseOverview.md and README.md with the latest line-of-code metrics as of January 8, 2026.

Here is the comparison with the previous stats from October 2025:

Category October 2025 January 2026 Change

Core Engine 41,282 45,244 +3,962

Working Examples 19,199 19,210 +11

Flagship Apps 14,111 16,478 +2,367

AI Infrastructure 6,205 13,714 +7,509

Automated Tests 4,778 6,769 +1,991

Build Tooling 4,257 5,813 +1,556

Documentation App 1,294 1,294 0

Theming (SCSS) 11,313 12,137 +824

JSDoc 30,002 52,850 +22,848

TOTAL ~132,000 ~174,000 +42,000

Key Observations:

Massive AI Growth: The AI infrastructure more than doubled (+121%), reflecting the intense focus on Context Engineering and the new Agent OS.

Documentation Surge: JSDoc coverage increased by ~76%, significantly improving the knowledge base for AI agents.

Solid Core Growth: The core engine grew by nearly 4k lines, indicating robust ongoing platform development.

Category	October 2025	January 2026	Change
Core Engine	41,282	45,244	+3,962
Working Examples	19,199	19,210	+11
Flagship Apps	14,111	16,478	+2,367
AI Infrastructure	6,205	13,714	+7,509
Automated Tests	4,778	6,769	+1,991
Build Tooling	4,257	5,813	+1,556
Documentation App	1,294	1,294	0
Theming (SCSS)	11,313	12,137	+824
JSDoc	30,002	52,850	+22,848
TOTAL	~132,000	~174,000	+42,000

tobiu assigned to @tobiu on Jan 8, 2026, 11:35 PM

tobiu closed this issue on Jan 8, 2026, 11:36 PM