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	7546
title	Convert textEmbeddingService to TextEmbeddingService Neo.mjs Class
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Oct 18, 2025, 3:53 PM
updatedAt	Oct 18, 2025, 4:02 PM
githubUrl	https://github.com/neomjs/neo/issues/7546
author	tobiu
commentsCount	0
parentIssue	7536
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Oct 18, 2025, 4:02 PM

Convert textEmbeddingService to TextEmbeddingService Neo.mjs Class

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

Closed v11.0.0 enhancementai

tobiu commented on Oct 18, 2025, 3:53 PM

This ticket covers refactoring ai/mcp/server/memory-core/services/textEmbeddingService.mjs into a singleton class that extends Neo.core.Base. The file will also be renamed to TextEmbeddingService.mjs to follow a more consistent naming convention. This service handles creating embedding vectors for text.

Acceptance Criteria

A new file ai/mcp/server/memory-core/services/TextEmbeddingService.mjs is created with the refactored TextEmbeddingService class content.
The TextEmbeddingService class extends Neo.core.Base and is configured as a singleton.
Existing functions (getEmbeddingModel, embedText) are converted into class methods.
The old file ai/mcp/server/memory-core/services/textEmbeddingService.mjs is deleted.
The ai/mcp/server/memory-core/services/toolService.mjs is updated to import the TextEmbeddingService singleton and map its methods (if any are exposed as tools).
Any other services that depend on textEmbeddingService are updated to use the new TextEmbeddingService singleton instance.
All related functionalities continue to work correctly after the refactoring.

tobiu assigned to @tobiu on Oct 18, 2025, 3:53 PM

tobiu added the enhancement label on Oct 18, 2025, 3:53 PM

tobiu added the ai label on Oct 18, 2025, 3:53 PM

tobiu added parent issue #7536 on Oct 18, 2025, 3:53 PM

tobiu referenced in commit c6e3ef0 - "#7546 renaming the file first to avoid git confusion" on Oct 18, 2025, 3:55 PM

tobiu referenced in commit 36a7ac8 - "Convert textEmbeddingService to TextEmbeddingService Neo.mjs Class #7546" on Oct 18, 2025, 3:59 PM

tobiu closed this issue on Oct 18, 2025, 4:02 PM