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	9121
title	DevIndex: Implement "Penalty Box" for Failed User Updates
state	Closed
labels	bugaiperformance
assignees	tobiu
createdAt	Feb 12, 2026, 9:48 PM
updatedAt	Feb 12, 2026, 9:53 PM
githubUrl	https://github.com/neomjs/neo/issues/9121
author	tobiu
commentsCount	1
parentIssue	9106
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Feb 12, 2026, 9:53 PM

DevIndex: Implement "Penalty Box" for Failed User Updates

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

Closed v12.0.0 bugaiperformance

tobiu commented on Feb 12, 2026, 9:48 PM

This task addresses a critical inefficiency in the DevIndex Updater service where "toxic" users (those who consistently trigger 502/504/403 errors) block the update queue.

Problem: Currently, when a user update fails, the Updater logs the error but does not update the lastUpdate timestamp in tracker.json. This causes the Scheduler to prioritize these same failed users again in the very next run, creating an infinite loop of failures that wastes API quota (especially with the new hourly workflow).

Solution ("The Penalty Box"): Modify DevIndex.services.Updater to update the lastUpdate timestamp to the current time even when an update fails.

Logic:

On Success: Update lastUpdate (Standard).
On Failure: Update lastUpdate (New).
Outcome: Failed users are pushed to the back of the priority queue. They will be retried only after the entire backlog (~3 days) is processed, preventing them from DOS-ing the hourly workflow.

Impact:

Unblocks the "Safe 200" hourly workflow.
Ensures 100% of the quota is spent on fresh, processable users.

tobiu added the bug label on Feb 12, 2026, 9:48 PM

tobiu added the ai label on Feb 12, 2026, 9:48 PM

tobiu added the performance label on Feb 12, 2026, 9:48 PM

tobiu assigned to @tobiu on Feb 12, 2026, 9:50 PM

tobiu added parent issue #9106 on Feb 12, 2026, 9:50 PM

tobiu referenced in commit e084582 - "fix: Implement Penalty Box for failed user updates (#9121) on Feb 12, 2026, 9:52 PM

tobiu Feb 12, 2026, 9:52 PM

Input from Gemini 3 Pro:

✦ I have implemented the "Penalty Box" logic in Updater.mjs.

Change: Inside the processUser catch block, I added:
indexUpdates.push({ login, lastUpdate: new Date().toISOString() });
successCount++;
Effect: Any user that fails processing (after retries) will now have their lastUpdate timestamp set to now. This pushes them to the very end of the priority queue, ensuring the next hourly run picks up fresh, unblocked users. This effectively "unclogs" the pipeline.

tobiu closed this issue on Feb 12, 2026, 9:53 PM

tobiu cross-referenced by #9122 on Feb 12, 2026, 9:55 PM