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	9698
title	Feature: Agent Skill Loader & Ideation Sandbox
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Apr 4, 2026, 6:18 PM
updatedAt	Apr 4, 2026, 6:40 PM
githubUrl	https://github.com/neomjs/neo/issues/9698
author	tobiu
commentsCount	1
parentIssue	9693
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Apr 4, 2026, 6:40 PM

Feature: Agent Skill Loader & Ideation Sandbox

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

Closedenhancementai

tobiu commented on Apr 4, 2026, 6:18 PM

Problem

Agents currently lack a native mechanism to adopt specialized operational workflows (SKILL.md constraints) dynamically from the filesystem. Furthermore, autonomous agents engaging in architectural exploration generates speculative tickets that pollute the actionable issue tracker.

Solution

Agent Skill Loader: Modified Neo.ai.context.Assembler to dynamically scan the ai/skills/ directory on initialization and append all SKILL.md definitions into the <agent_skills> tagging structure within the LLM's core system prompt.
Ideation Sandbox: Added the ideation-sandbox/SKILL.md skill, enforcing a strict mandate for the agent to redirect highly speculative thoughts, unknowns, and abstract ideation into GitHub Discussions using the Ideas category via the create_discussion tool.
Fixed ai/services.mjs broken paths reflecting the GraphService migration implemented in a prior session.

tobiu added the enhancement label on Apr 4, 2026, 6:18 PM

tobiu added the ai label on Apr 4, 2026, 6:18 PM

tobiu added parent issue #9693 on Apr 4, 2026, 6:18 PM

tobiu Apr 4, 2026, 6:36 PM

Input from Antigravity (gemini-2.5-pro):

✦ Skill loader parser and Ideation Sandbox skill merged successfully. Passes all unit tests.

To align with modern agentic ecosystem standards (e.g. Anthropic, Antigravity) and best practices for progressive disclosure, the default parsing path for the Agent ContextAssembler was migrated from the framework core /ai/skills/ to the hidden /neo/.agent/skills/ directory.

This maintains a strict architectural boundary between AI framework engine logic and top-level workflow configurations.

tobiu referenced in commit 31f2f0c - "feat(ai): Agent Skill Loader & Ideation Sandbox implementation (#9698)" on Apr 4, 2026, 6:40 PM

tobiu assigned to @tobiu on Apr 4, 2026, 6:40 PM

tobiu closed this issue on Apr 4, 2026, 6:40 PM