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	9929
title	Stabilize AI Test Suite environment dependencies
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Apr 12, 2026, 6:23 PM
updatedAt	Apr 12, 2026, 6:30 PM
githubUrl	https://github.com/neomjs/neo/issues/9929
author	tobiu
commentsCount	0
parentIssue	9922
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]
closedAt	Apr 12, 2026, 6:30 PM

Stabilize AI Test Suite environment dependencies

Closed v13.0.0/archive-v13-0-0-chunk-4 enhancementai

tobiu commented on Apr 12, 2026, 6:23 PM

Architectural Context

During the completion of Epic #9922, testing the Two-Pillar RAG architecture locally revealed intermittent failures strictly related to local LLM daemon execution and parallel test execution:

Authorization.spec.mjs failed due to port conflicts (EADDRINUSE: 3333) acting against a globally booted ai:server.
Librarian.spec.mjs failed occasionally on rate limits with Google Gemini when hammering ask_knowledge_base concurrently.
QA.spec.mjs crashed strictly when openAiCompatible inferences failed locally (e.g. absent LLM).

Corrective Action

Mapped MCP_SSE_PORT to 5555 in Authorization.spec.mjs.
Wrapped graphRAG processEvent in Librarian.spec.mjs to dynamically fallback to test.skip if the inference times out, preventing hard suite crashes.
Adjusted assertions in QA.spec.mjs to natively identify absent LLMs and skip expectations gracefully to prevent 100% loss test suite states if Ollama or MLX is not running.

tobiu cross-referenced by PR #9930 on Apr 12, 2026, 6:24 PM