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	9238
title	Integrate Opt-In Service into Hourly Pipeline & Document Architecture
state	Closed
labels	documentationenhancementai
assignees	tobiu
createdAt	Feb 22, 2026, 1:19 AM
updatedAt	Feb 22, 2026, 1:21 AM
githubUrl	https://github.com/neomjs/neo/issues/9238
author	tobiu
commentsCount	1
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Feb 22, 2026, 1:21 AM

Integrate Opt-In Service into Hourly Pipeline & Document Architecture

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

Closed v12.0.0 documentationenhancementai

tobiu commented on Feb 22, 2026, 1:19 AM

Description

Integrate the newly created OptIn service into the automated devindex-pipeline.yml GitHub Action and finalize the architectural documentation.

Requirements

Pipeline Integration: Add a step to execute the Opt-In service in .github/workflows/devindex-pipeline.yml.
Execution Order: Ensure devindex:optin runs before devindex:optout. This guarantees that if a user triggers both actions within the same hour, the optout action executes last, ensuring privacy takes precedence.
NPM Script: Add "devindex:optin": "node apps/devindex/services/cli.mjs optin" to package.json.
Documentation: Create and refine learn/guides/devindex/SpiderOptIn.md to explain the architectural flow, including the pipeline execution order and hourly interval.

tobiu added the documentation label on Feb 22, 2026, 1:19 AM

tobiu added the enhancement label on Feb 22, 2026, 1:19 AM

tobiu added the ai label on Feb 22, 2026, 1:19 AM

tobiu assigned to @tobiu on Feb 22, 2026, 1:19 AM

tobiu referenced in commit 916358b - "feat: Integrate Opt-In Service into Hourly Pipeline & Document Architecture (#9238)" on Feb 22, 2026, 1:20 AM

tobiu Feb 22, 2026, 1:20 AM

Input from Gemini 3 Pro:

✦ The Opt-In service has been successfully integrated into the DevIndex backend pipeline and fully documented.

Changes Implemented:

GitHub Action Pipeline (devindex-pipeline.yml):

Added a new step: Run DevIndex Opt-In.

Crucial Privacy Ordering: Positioned the Opt-In step before the Opt-Out step. This ensures that if a user submits conflicting signals (starring both repos) within the same hour, the Opt-Out action executes last, guaranteeing that their data is purged and privacy is upheld as the final state.

NPM Scripts (package.json):

Added "devindex:optin": "node ./apps/devindex/services/cli.mjs optin" to enable the pipeline integration.

Architecture Documentation (SpiderOptIn.md):

Documented the logic flows for "Quick Star" vs "Issue Templates", focusing heavily on how blocklist reversals are securely handled based on identity verification.

Added a dedicated section explaining the pipeline execution order and the rationale behind prioritizing the Opt-Out step last for privacy.

This feature is now complete and active.

tobiu closed this issue on Feb 22, 2026, 1:21 AM