What is the 'Neural Link'?

The Neural Link is a bi-directional bridge that connects AI agents (like Gemini or Claude) directly to the Neo.mjs runtime. It allows agents to 'see' the application's Scene Graph, inspect component state, verify event listeners, and even mutate the running application in real-time. This turns the application into a 'glass box' for AI, enabling autonomous debugging and feature development.

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

Traditional frameworks are general-purpose libraries (like a Toyota) that help you organize code, but they compile away into ephemeral DOM nodes. Neo.mjs is a precision-engineered runtime (like an F1 car), similar to Unreal Engine for games. It maintains a persistent 'Scene Graph' of objects in a separate worker thread. These objects retain their identity, state, and relationships, allowing for advanced capabilities like multi-window orchestration, runtime permutation, and deep AI introspection that are impossible with 'melted plastic' DOM-based frameworks.

What is 'Context Engineering'?

Context Engineering is the practice of curating the environment and information flow for AI agents to maximize their autonomy. In Neo.mjs, this is implemented via three Model Context Protocol (MCP) servers: a Knowledge Base for semantic code understanding, a Memory Core for learning from past sessions, and a GitHub Workflow server for project management. This ecosystem allows agents to work as fully integrated members of the development team.

What is 'Object Permanence' in the context of Neo.mjs?

In Neo.mjs, UI components are persistent JavaScript objects living in the App Worker, not just transient rendering results. This 'Object Permanence' means a component (like a Dashboard) maintains its state (scroll position, user input, internal logic) even if it is detached from the DOM or moved to a different browser window. This is the 'Lego Technic' approach versus the 'Duplo' approach of traditional frameworks.

What is an 'Agent Operating System'?

Neo.mjs v11 introduced the concept of an Agent OS, where the platform itself provides the tools and interfaces for AI agents to operate. It combines a standalone, type-safe AI SDK for autonomous 'Code Execution' with the Neural Link for runtime control. This enables agents to monitor, debug, and heal the application autonomously, effectively acting as an operating system for synthetic intelligence.

How does Neo.mjs handle multi-window applications?

Neo.mjs uses shared web workers to run a single application instance across multiple browser windows. All windows share the same application state and data in real-time. Components can even move between windows while retaining their JavaScript instances. This enables desktop-class experiences like multi-window IDEs, browser-based email clients, and multi-screen control rooms.

What makes Neo.mjs different from React, Angular, or Vue?

Neo.mjs is fundamentally different in its architecture: (1) It uses True Multithreading via web workers to prevent UI jank, (2) It is an AI-Native Application Engine with built-in bridges for AI collaboration, and (3) It treats components as persistent objects in a Scene Graph, enabling native multi-window support and runtime permutation.

Frontmatter

id	9090
title	Feat: Implement Neo.data.proxy.Base and Neo.data.proxy.Stream
state	Closed
labels	aicorefeature
assignees	tobiu
createdAt	Feb 10, 2026, 6:55 PM
updatedAt	Feb 10, 2026, 7:34 PM
githubUrl	https://github.com/neomjs/neo/issues/9090
author	tobiu
commentsCount	1
parentIssue	9089
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Feb 10, 2026, 7:34 PM

Feat: Implement Neo.data.proxy.Base and Neo.data.proxy.Stream

Name: Neo.mjs Application Engine
Author: Neo.mjs

Closed v12.0.0 aicorefeature

tobiu commented on Feb 10, 2026, 6:55 PM

Objective

Implement the foundational Proxy classes for the new data loading architecture.

Tasks

src/data/proxy/Base.mjs:
- Abstract base class.
- Should define the interface for read(operation) (or similar).
- Should handle basic URL configuration.
src/data/proxy/Stream.mjs:
- Extends Base.
- Uses fetch to retrieve the resource.
- Implements the NDJSONStream parsing logic (using TransformStream and TextDecoderStream).
- Should expose a way to yield records incrementally (e.g., via events or a generator).

Requirements

Must work in the App Worker (and potentially SharedWorker).
Must handle JSONL (newline-delimited JSON).
Error handling for network failures and parse errors.

tobiu added the ai label on Feb 10, 2026, 6:55 PM

tobiu added the core label on Feb 10, 2026, 6:55 PM

tobiu added the feature label on Feb 10, 2026, 6:55 PM

tobiu added parent issue #9089 on Feb 10, 2026, 6:55 PM

tobiu cross-referenced by #9093 on Feb 10, 2026, 7:05 PM

tobiu assigned to @tobiu on Feb 10, 2026, 7:08 PM

tobiu referenced in commit 49edc7d - "feat: Implement Neo.data.proxy.Stream and Store integration (#9090)" on Feb 10, 2026, 7:32 PM

tobiu Feb 10, 2026, 7:33 PM

Input from Gemini 3 Pro:

✦ I have successfully implemented the streaming data loader infrastructure.

Changes

src/data/proxy/Base.mjs: Created abstract base class for proxies.

src/data/proxy/Stream.mjs: Created concrete implementation for NDJSON/JSONL streaming using fetch and TextDecoderStream.

src/data/Store.mjs: Updated to support proxy config and streaming load() logic. The Store now suspends events, consumes the stream, and fires a single load event upon completion.

Verification

Created robust unit tests:

test/playwright/unit/data/proxy/Stream.spec.mjs

test/playwright/unit/data/StoreProxy.spec.mjs

All tests passed.

tobiu closed this issue on Feb 10, 2026, 7:34 PM