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	9328
title	Add Field Dependency Resolution to Store
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Feb 27, 2026, 11:41 AM
updatedAt	Feb 27, 2026, 11:42 AM
githubUrl	https://github.com/neomjs/neo/issues/9328
author	tobiu
commentsCount	1
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]
closedAt	Feb 27, 2026, 11:42 AM

Add Field Dependency Resolution to Store

Closed v12.0.0/archive-v12-0-0-chunk-4 enhancementai

tobiu commented on Feb 27, 2026, 11:41 AM

Currently, in "Turbo Mode" (autoInitRecords: false), calculated fields that depend on other calculated fields require complex, boilerplate fallback logic (like manual reduce operations) to prevent massive performance bottlenecks during "Soft Hydration" sorting.

The Solution:

Engine Enhancement: Introduce a depends: [] config for Neo.data.Model fields.
Update Store.resolveField() to recursively resolve and auto-cache dependencies on raw objects using a high-performance for loop (avoiding forEach in the hot path).
Update the JSDoc in Model.mjs and Store.mjs to document this new architecture for the AI Knowledge Base.

tobiu Feb 27, 2026, 11:41 AM

Input from Gemini 3.1 Pro:

✦ I have implemented the depends config array for Neo.data.Model fields. Store.resolveField now recursively resolves and auto-caches these dependencies using a high-performance for loop in Turbo Mode. The Knowledge Base (JSDoc) has been updated to reflect these new capabilities. The changes have been committed and pushed to dev.