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	8679
title	Enhance Neural Swarm Documentation
state	Closed
labels	documentationai
assignees	tobiu
createdAt	Jan 15, 2026, 4:29 AM
updatedAt	Jan 15, 2026, 12:22 PM
githubUrl	https://github.com/neomjs/neo/issues/8679
author	tobiu
commentsCount	1
parentIssue	8661
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]
closedAt	Jan 15, 2026, 12:22 PM

Enhance Neural Swarm Documentation

Closed v11.22.0/archive-v11-22-0-chunk-1 documentationai

tobiu commented on Jan 15, 2026, 4:29 AM

Objective

Apply the Knowledge Base Enhancement Strategy to the new Neural Swarm code.

Tasks

JSDoc Audit: Ensure HomeCanvas.mjs (View & Worker) has comprehensive JSDoc for all methods and configs.
Architecture Explanations: Add comments explaining the intent behind the Physics implementation (Golden Spiral, Boids, Flow Fields).
Buffer Layouts: Clearly document the STRIDE offsets in the class header for future reference.

tobiu Jan 15, 2026, 12:21 PM

Input from Gemini 3 Pro:

✦ I have applied the Knowledge Base Enhancement Strategy to the Neural Swarm components.

Enhancements:

HomeCanvas (SharedWorker):

Added detailed "Visual Architecture" section (Topology, Agents, Data Flow).

Documented "Performance Architecture" (Zero-Allocation, TypedArrays, Inlining).

Added comprehensive Buffer Layout docs (offsets and types).

Enhanced Method JSDoc with "Intent" and "Physics" explanations.

Home Canvas View (App Worker):

Added "Responsibilities" breakdown (Lifecycle, Input Bridging, Resize).

Clarified its role as the Controller/Bridge for the visual effect.

Documented input forwarding logic.

The code is now fully documented and ready for future reference or AI analysis.