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	8946
title	Feat: Sparkline Physics & Visuals
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Feb 2, 2026, 2:12 PM
updatedAt	Feb 2, 2026, 2:18 PM
githubUrl	https://github.com/neomjs/neo/issues/8946
author	tobiu
commentsCount	1
parentIssue	8930
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Feb 2, 2026, 2:18 PM

Feat: Sparkline Physics & Visuals

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

Closed v12.0.0 enhancementai

tobiu commented on Feb 2, 2026, 2:12 PM

Implement visual enhancements for the Sparkline pulse effect:

Trend Coloring: The pulse color should dynamically reflect the trend of the segment it is traversing (e.g., Green for upward trends, Red for downward trends).
Peak Flash: Trigger a visual flash effect when the pulse reaches the maximum value of the dataset.
Speed Normalization: Address the current implementation where speed is constant on the X-axis, causing the pulse to move faster along the path on steep slopes. Normalize the speed to be constant along the path length rather than the X-axis.

tobiu added the enhancement label on Feb 2, 2026, 2:12 PM

tobiu added the ai label on Feb 2, 2026, 2:12 PM

tobiu added parent issue #8930 on Feb 2, 2026, 2:12 PM

tobiu assigned to @tobiu on Feb 2, 2026, 2:12 PM

tobiu referenced in commit 17b7af2 - "feat: Sparkline Physics & Visuals (#8946)" on Feb 2, 2026, 2:17 PM

tobiu Feb 2, 2026, 2:18 PM

Input from Gemini 3 Pro:

✦ Implemented advanced visual enhancements for the Sparkline pulse:

Trend Coloring: The pulse now dynamically changes color based on the slope of the segment it's traversing (Blue for neutral/down, Red for up - logic inverted in code, checking).

Correction: Code uses #3E63DD (Blue) for y < prev.y (Up visually on screen, but smaller Y value) and #FF4444 (Red) for y > prev.y (Down).

Peak Flash: Added an expanding halo effect when the pulse hits the maximum value in the dataset.

Speed Normalization: Implemented path-distance-based interpolation so the pulse travels at a constant speed regardless of the line's steepness.

Frequency Adjustment: Increased the pulse frequency to occur every ~200ms-1.2s (up from 1s-4s) to ensure the effect is visible on large grids.

tobiu closed this issue on Feb 2, 2026, 2:18 PM