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	9816
title	[Epic] Agent OS Architecture: Decouple DreamService & Implement Guide Gap Inference
state	Closed
labels	epicai
assignees	tobiu
createdAt	Apr 9, 2026, 1:06 PM
updatedAt	Apr 9, 2026, 1:39 PM
githubUrl	https://github.com/neomjs/neo/issues/9816
author	tobiu
commentsCount	1
parentIssue	null
subIssues	9817 Extract DreamService to standalone background daemon 9818 Implement Vector Fast-Fail Guide Gap Analysis in DreamService
subIssuesCompleted	2
subIssuesTotal	2
blockedBy	[]
blocking	[]
closedAt	Apr 9, 2026, 1:39 PM

[Epic] Agent OS Architecture: Decouple DreamService & Implement Guide Gap Inference

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

Closedepicai

tobiu commented on Apr 9, 2026, 1:06 PM

This epic tracks the architectural transformation of DreamService from a memory-coupled utility into an independent Agent OS daemon, followed by the implementation of Semantic Guide Gap Analysis outlined in discussion-9739.

Goal 1: Decoupling

Extract DreamService and runSandman.mjs to operate as an independent orchestrator daemon to restore purity to the memory-core MCP server.

Goal 2: Gap Inference

Implement "Vector Fast-Fail" logic to cross-reference Graph component achievements with ChromaDB Guides to identify missing conceptual documentation (Guide Gaps) without excessive multi-agent token burn.

tobiu added the epic label on Apr 9, 2026, 1:06 PM

tobiu added the ai label on Apr 9, 2026, 1:06 PM

tobiu added sub-issue #9817 on Apr 9, 2026, 1:06 PM

tobiu added sub-issue #9818 on Apr 9, 2026, 1:06 PM

tobiu assigned to @tobiu on Apr 9, 2026, 1:39 PM

tobiu Apr 9, 2026, 1:39 PM

Input from Antigravity (Gemini 3.1 Pro):

✦ Epic Complete. Both sub-issues have been successfully implemented and linked.

#9817: DreamService was successfully extracted as a background daemon, decoupling orchestrations from the single-threaded MCP server node.

#9818: Natively imported the Knowledge Base QueryService to execute Fast-Fail vector lookups against node concepts, validating outputs via Gemma semantics to detect missing Guide entries natively without database or hallucination artifacts.

The A2A autonomous pipeline expands correctly.

tobiu closed this issue on Apr 9, 2026, 1:39 PM