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	9704
title	Feat: Sandman Graph Physics (Hebbian Reinforcement & Global Ambient Decay)
state	Closed
labels	enhancementaiarchitecture
assignees	tobiu
createdAt	Apr 4, 2026, 9:25 PM
updatedAt	Apr 4, 2026, 9:58 PM
githubUrl	https://github.com/neomjs/neo/issues/9704
author	tobiu
commentsCount	1
parentIssue	9671
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Apr 4, 2026, 9:58 PM

Feat: Sandman Graph Physics (Hebbian Reinforcement & Global Ambient Decay)

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

Closedenhancementaiarchitecture

tobiu commented on Apr 4, 2026, 9:25 PM

This issue resolves structural logic gaps inside the Native Edge Graph and the Sandman REM Pipeline to enable true Artificial Subconscious capabilities.

Current Flaws

Additive accumulation is missing Hebbian Learning limits, resulting in a graph with no weight-based neural hierarchy.
Background Offline Digestion produces "Context Ghosts", bypassing the SQLite structural decay mechanism.
The strategically generated Golden Path is a single monolithic Markdown string rather than distinct structural graph nodes.

Required Implementation

Modify GraphService.mjs -> linkNodes():
- Apply Hebbian Reinforcement by incrementing weight by +0.1 on duplicates (Max Ceiling 5.0).
Add GraphService.mjs -> decayGlobalTopology(-5%):
- Implement a background loop applying a 0.95x multiplier over the entire SQLite Graph edge table, deleting paths dropping below < 0.2.
Update DreamService.mjs:
- Discontinue generating monolithic GoldenPath.md.
- Force the LLM to output discrete Strategic JSON Nodes and upsertNode each into the frontier.

This forms an executable sequence to harden "Phase 3: Subconscious Strategy Layer".

tobiu added the enhancement label on Apr 4, 2026, 9:25 PM

tobiu added the ai label on Apr 4, 2026, 9:25 PM

tobiu added the architecture label on Apr 4, 2026, 9:25 PM

tobiu added parent issue #9671 on Apr 4, 2026, 9:25 PM

tobiu assigned to @tobiu on Apr 4, 2026, 9:32 PM

tobiu referenced in commit 5917a87 - "feat: finalize Sandman Subconscious Layer graph physics and expand Unified Taxonomy (#9704)" on Apr 4, 2026, 9:57 PM

tobiu Apr 4, 2026, 9:58 PM

The Sandman Subconscious Layer graph physics have been finalized via SQLite native processing algorithms in #9704. In addition, following a final structural review, the Unified Graph Node Taxonomy inside DreamService.mjs has been expanded to correctly map to Knowledge Base native constants (GUIDE, BLOG, TEST, MEMORY). Ticket completed.

tobiu closed this issue on Apr 4, 2026, 9:58 PM