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	9554
title	Enhancement: Add Data Pipeline Telemetry & Performance Metrics
state	Open
labels	enhancementhelp wantedno auto closeaiperformancecore
assignees	[]
createdAt	Mar 25, 2026, 9:12 PM
updatedAt	3:22 PM
githubUrl	https://github.com/neomjs/neo/issues/9554
author	tobiu
commentsCount	0
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]

Enhancement: Add Data Pipeline Telemetry & Performance Metrics

Open Backlog/active-chunk-1 enhancementhelp wantedno auto closeaiperformancecore

tobiu commented on Mar 25, 2026, 9:12 PM

Goal

Capture and report granular performance metrics for every stage of the Data Pipeline.

Description

To support the strategic "Benchmark Reports" and assist in debugging complex data flows, the Pipeline should capture telemetry.

Requirements:

Capture high-resolution timestamps for:
- connectionStart / End
- parserStart / End
- normalizerStart / End
Track payload sizes (raw vs. parsed).
Return a telemetry object to the App Worker alongside the shaped data.
Integrate with Neo.util.Logger for optional performance profiling in the console.

tobiu assigned to @tobiu on Mar 25, 2026, 9:12 PM

tobiu added the enhancement label on Mar 25, 2026, 9:12 PM

tobiu added the ai label on Mar 25, 2026, 9:12 PM

tobiu added the performance label on Mar 25, 2026, 9:12 PM

tobiu added the core label on Mar 25, 2026, 9:12 PM

tobiu added the help wanted label on Mar 25, 2026, 9:50 PM

tobiu added the no auto close label on Mar 25, 2026, 9:50 PM

tobiu unassigned from @tobiu on Mar 26, 2026, 4:20 PM