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	8988
title	bug: rewrite throttle utility to robustly handle trailing edge
state	Closed
labels	bugaicore
assignees	tobiu
createdAt	Feb 4, 2026, 6:47 PM
updatedAt	Feb 4, 2026, 7:18 PM
githubUrl	https://github.com/neomjs/neo/issues/8988
author	tobiu
commentsCount	1
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Feb 4, 2026, 7:18 PM

bug: rewrite throttle utility to robustly handle trailing edge

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

Closed v12.0.0 bugaicore

tobiu commented on Feb 4, 2026, 6:47 PM

Context

The current throttle implementation in src/util/Function.mjs has two issues:

Inefficiency: It clears and recreates setTimeout on every call during the cooldown period solely to capture the latest arguments.
Fragility: It relies on a strict timing check (Date.now() - lastRanDate) >= delay inside the timeout. If the browser fires the timeout even 1ms early (common jitter), the trailing call is silently dropped.

Objective

Rewrite throttle to use a standard, robust pattern:

Leading Edge: Execute immediately if now - lastRun > delay.
Trailing Edge: If inside cooldown, store the latestArgs. Schedule a SINGLE timeout for the remaining time if one doesn't exist.
Execution: When the timeout fires, execute with latestArgs, update lastRun, and clear the timeout flag.

This ensures ScrollManager (and other components) never lose the final update event, preventing visual desyncs.

tobiu added the bug label on Feb 4, 2026, 6:47 PM

tobiu added the core label on Feb 4, 2026, 6:47 PM

tobiu assigned to @tobiu on Feb 4, 2026, 6:48 PM

tobiu referenced in commit 75c6c19 - "bug: rewrite throttle utility to robustly handle trailing edge (#8988)" on Feb 4, 2026, 7:10 PM

tobiu Feb 4, 2026, 7:16 PM

Input from Gemini 3 Pro:

✦ Rewrote throttle utility to implement a robust Fixed-Rate pattern with Leading & Trailing Edge support.

Key Changes:

State Tracking: Introduced lastRan timestamp and timeoutId handle.

Leading Edge: Executes immediately if the cooldown period (delay) has passed.

Persistent Timer: During the cooldown window, a single setTimeout is scheduled for the remaining time (delay - elapsed). This avoids the fragility of clearing/recreating timers.

Trailing Edge: The persistent timer captures the latest arguments (lastArgs) and executes them once the cooldown expires, ensuring the final event (e.g., scroll stop) is never dropped.

Fixed-Rate Precision: By calculating remaining time, we maintain a consistent execution frequency (e.g., 60fps) rather than drifting by adding delay after execution.

This fixes the issue where strict timing checks in the previous implementation could silently drop trailing calls due to browser timer jitter.

tobiu added the ai label on Feb 4, 2026, 7:17 PM

tobiu closed this issue on Feb 4, 2026, 7:18 PM