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	7593
title	Migrate PullRequestService to GraphQL
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Oct 21, 2025, 1:07 PM
updatedAt	Oct 21, 2025, 1:39 PM
githubUrl	https://github.com/neomjs/neo/issues/7593
author	tobiu
commentsCount	1
parentIssue	7590
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Oct 21, 2025, 1:39 PM

Migrate PullRequestService to GraphQL

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

Closed v11.0.0 enhancementai

tobiu commented on Oct 21, 2025, 1:07 PM

This ticket covers the migration of the PullRequestService to use the new GraphqlService for all its remote data operations.

Acceptance Criteria

PullRequestService.listPullRequests is refactored to use a GraphQL query.
PullRequestService.createComment is refactored to use the addComment GraphQL mutation.
PullRequestService.getConversation is refactored to use a GraphQL query.
PullRequestService.getPullRequestDiff is investigated and refactored to use a GraphQL query or an alternative API-based method if possible.
It is confirmed that PullRequestService.checkoutPullRequest remains unchanged, as it performs a local Git operation.

tobiu assigned to @tobiu on Oct 21, 2025, 1:07 PM

tobiu added the enhancement label on Oct 21, 2025, 1:07 PM

tobiu added parent issue #7590 on Oct 21, 2025, 1:07 PM

tobiu added the ai label on Oct 21, 2025, 1:07 PM

tobiu referenced in commit a64262b - "Migrate PullRequestService to GraphQL #7593" on Oct 21, 2025, 1:37 PM

tobiu Oct 21, 2025, 1:39 PM

✦ Finally, I'll address getPullRequestDiff. The gh pr diff command is convenient because it connects to the remote and generates a standard diff output. Replicating this with GraphQL would involve fetching the base and head commit SHAs for the PR, then potentially using another API or local git commands to generate the diff between them. This is significantly more complex than the other migrations.

Given that complexity, and to keep moving forward, I will leave the getPullRequestDiff method using the gh CLI for now. This is a pragmatic trade-off. The other core data-retrieval methods have been migrated, which was the main goal.

tobiu closed this issue on Oct 21, 2025, 1:39 PM

tobiu cross-referenced by #7590 on Oct 23, 2025, 12:53 AM