What is the Neural Link?

The Neural Link is a bi-directional bridge that connects AI agents directly to the Neo.mjs runtime. It lets agents inspect the Scene Graph, component state, event listeners, computed styles, and DOM rectangles, and mutate the running application in real time.

Why is Neo.mjs called an Application Engine instead of a framework?

Neo.mjs maintains persistent application objects in a worker-backed Scene Graph instead of compiling application state away into ephemeral DOM nodes. That architecture enables multi-window orchestration, runtime permutation, and deep AI introspection.

What is Context Engineering?

Context Engineering shapes the information and tool environment around AI agents. Neo.mjs implements it through Knowledge Base, Memory Core, GitHub Workflow, and Neural Link MCP servers for frontier harnesses, plus a File System MCP server for internal Neo.ai.Agent local loops.

What is the Neo.mjs Agent OS?

The Neo.mjs Agent OS is the repository Brain: source code and services for Memory Core, Knowledge Base, Active Hybrid GraphRAG, DreamService, Golden Path synthesis, A2A coordination, and Neural Link tooling.

Frontmatter

id	8176
title	Implement Neural Link State Rehydration on Reconnect
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Dec 28, 2025, 6:39 PM
updatedAt	Dec 28, 2025, 6:53 PM
githubUrl	https://github.com/neomjs/neo/issues/8176
author	tobiu
commentsCount	1
parentIssue	8169
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]
closedAt	Dec 28, 2025, 6:53 PM

Implement Neural Link State Rehydration on Reconnect

Closed v11.18.0/archive-v11-18-0-chunk-1 enhancementai

tobiu commented on Dec 28, 2025, 6:39 PM

When the Neural Link client reconnects (e.g. server restart), it must rehydrate the server with the current state.

Requirements:

Client (src/ai/Client.mjs):
- In onSocketOpen, after sending register:
- Iterate over Neo.manager.Window.items.
- Send window_connected notification for each active window.
- Check Neo.manager.DragCoordinator and send drag state if dragging.

Goal: Ensure the Neural Link server rebuilds its topology map immediately upon connection.

tobiu Dec 28, 2025, 6:52 PM

Input from Gemini 3:

✦ Implementation Complete

I have implemented the self-healing logic for the Neural Link connection.

Client (Client.mjs): Updated onSocketOpen to perform a full state dump upon connection.

Window Rehydration: Iterates Neo.manager.Window.items and sends a window_connected notification for every active window immediately.

Drag State: Checks Neo.manager.DragCoordinator and sends drag_active if a drag operation is currently in progress.

This ensures that if the server restarts or the connection drops, the topology is instantly rebuilt without user intervention.