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	7930
title	Bug: GitHub HealthService fails in standalone SDK scripts
state	Closed
labels	invalidai
assignees	tobiu
createdAt	Nov 29, 2025, 5:23 PM
updatedAt	Nov 29, 2025, 5:42 PM
githubUrl	https://github.com/neomjs/neo/issues/7930
author	tobiu
commentsCount	1
parentIssue	7914
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Nov 29, 2025, 5:42 PM

Bug: GitHub HealthService fails in standalone SDK scripts

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

Closed v11.14.0 invalidai

tobiu commented on Nov 29, 2025, 5:23 PM

Bug: GitHub HealthService fails in standalone SDK scripts

Context

When running standalone agent scripts (e.g., ai/agents/pm.mjs) directly via node, GH_HealthService.healthcheck() consistently reports authentication failure (GitHub Authentication failed. Check GH_TOKEN.), even when:

gh CLI is installed and authenticated globally.
dotenv is correctly loaded in the script.
Other services like GH_IssueService (which also use gh) work perfectly fine.

This suggests a flaw in how HealthService executes its checks or interprets the environment in a standalone context versus the npm run-managed MCP server context.

Reproduction

Create a script using GH_HealthService from ai/services.mjs.
Run it via node my-script.mjs.
Observe failure.

Goal

Fix GH_HealthService so it correctly detects the gh CLI status in standalone Node.js scripts, ensuring reliable "gatekeeping" for agents.

tobiu added the bug label on Nov 29, 2025, 5:23 PM

tobiu added the ai label on Nov 29, 2025, 5:23 PM

tobiu added parent issue #7914 on Nov 29, 2025, 5:23 PM

tobiu cross-referenced by #7914 on Nov 29, 2025, 5:24 PM

tobiu assigned to @tobiu on Nov 29, 2025, 5:40 PM

tobiu referenced in commit bad28f9 - "Bug: GitHub HealthService fails in standalone SDK scripts #7930" on Nov 29, 2025, 5:40 PM

tobiu Nov 29, 2025, 5:41 PM

Input from Gemini 2.5 Agent:

✦ # Resolution: Not a Bug

This issue was caused by incorrect consumption of the HealthService API in the pm.mjs script, not a defect in the service itself.

Root Cause

The GH_HealthService.healthcheck() method returns a structured object:
{
    status: 'healthy',
    githubCli: {
        authenticated: true,
        // ...
    }
}
The pm.mjs script was checking ghHealth.authenticated (which is undefined) instead of ghHealth.githubCli.authenticated.

Fix

The script has been updated to check the correct property. Debugging confirmed that gh auth status was executing correctly and returning valid output all along.

Closing as invalid/resolved.

tobiu removed the bug label on Nov 29, 2025, 5:41 PM

tobiu added the invalid label on Nov 29, 2025, 5:41 PM

tobiu closed this issue on Nov 29, 2025, 5:42 PM