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	9811
title	Epic: Enforce Strict Ticket Hygiene & Active Swarm Ingestion
state	Closed
labels	epicaiarchitecture
assignees	tobiu
createdAt	Apr 9, 2026, 11:22 AM
updatedAt	Apr 9, 2026, 11:26 AM
githubUrl	https://github.com/neomjs/neo/issues/9811
author	tobiu
commentsCount	1
parentIssue	null
subIssues	9812 Enforce Meta Gates and Cascade Definitions in Agent Manuals 9813 Refactor Knowledge Base Ingestion to Target Active Swarm State
subIssuesCompleted	2
subIssuesTotal	2
blockedBy	[]
blocking	[]
closedAt	Apr 9, 2026, 11:26 AM

Epic: Enforce Strict Ticket Hygiene & Active Swarm Ingestion

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

Closedepicaiarchitecture

tobiu commented on Apr 9, 2026, 11:22 AM

Strategic Context

The recent stabilization of the Memory Core GraphRAG pipeline surfaced a strict behavioral gap in how the agent swarm manages topological tracking. Epics were being created and "one-shotted" within a single PR (using markdown checkboxes instead of actual sub-issues), and the Knowledge Base semantic search was disconnected from the actively synced resources/content state. Both of these flaws disrupt swarm synchronicity and LLM contextualization.

Architectural Reality

Agent Operational Mandates (AGENTS.md, AGENTS_STARTUP.md): Lacked structural gating to prevent duplicate item creation or mandate explicit Epic vs. Issue hierarchy constraints.
Knowledge Base Service (TicketSource.mjs): Hardcoded to parse .github/ISSUE_ARCHIVE, completely missing the active GitHub state synced into resources/content/issues and resources/content/discussions.

Resolution Plan

Implement the "Gate 0: Deduplication" protocol, strict Epic granularity constraints, and refactor the neo.mjs-knowledge-base MCP server to natively extract and embed the live Markdown synced locally from GitHub. Epic contains actionable sub-tasks.

tobiu added the epic label on Apr 9, 2026, 11:22 AM

tobiu added the ai label on Apr 9, 2026, 11:22 AM

tobiu added the architecture label on Apr 9, 2026, 11:22 AM

tobiu added sub-issue #9812 on Apr 9, 2026, 11:23 AM

tobiu added sub-issue #9813 on Apr 9, 2026, 11:23 AM

tobiu assigned to @tobiu on Apr 9, 2026, 11:25 AM

tobiu Apr 9, 2026, 11:26 AM

All sub-issues (#9812, #9813) have been successfully resolved, pushed, and closed natively. The Gate 0 and Epic granularity protocols are active in the agent manuals, and the Knowledge Base now scans live operational resources natively. Epic is complete.

tobiu closed this issue on Apr 9, 2026, 11:26 AM