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	7401
title	Design Knowledge Base MCP Server API
state	Closed
labels	enhancementhelp wantedgood first issuehacktoberfestai
assignees	Chesblaw
createdAt	Oct 7, 2025, 12:05 PM
updatedAt	Oct 24, 2025, 11:26 AM
githubUrl	https://github.com/neomjs/neo/issues/7401
author	tobiu
commentsCount	3
parentIssue	7399
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Oct 24, 2025, 11:26 AM

Design Knowledge Base MCP Server API

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

Closed v11.0.0 enhancementhelp wantedgood first issuehacktoberfestai

tobiu commented on Oct 7, 2025, 12:05 PM

This ticket covers the detailed API design for the new Knowledge Base MCP server. The server will replace the current npm run ai:query script, providing a formal, structured interface for agents to query the project's knowledge base.

This design must define a comprehensive, resource-oriented API for managing the documents and the database itself, ensuring consistency with the Memory Core MCP server.

Acceptance Criteria

A clear, resource-oriented API endpoint structure is designed.
The following endpoints are defined with their request and response contracts:
- GET /docs: Serves interactive API documentation (Swagger UI).
- GET /healthcheck: Confirms server health and DB connection.
- GET /documents: Lists all documents in the knowledge base.
- GET /documents/:id: Retrieves a specific document by its ID.
- POST /documents/query: The primary search endpoint.
- POST /db/sync: Triggers the delta update and synchronization process.
- DELETE /db: Deletes the entire knowledge base collection.
The API design is formally documented in an OpenAPI 3.0 specification file at buildScripts/mcp/knowledge/openapi.yaml.
The design is documented in a new guide within the learn/guides/ai/ directory, ready for implementation.

Agent Instructions

To work on this ticket, please start your session with the following prompt:

Please follow the instructions in @AGENTS.md.

Once you are initialized, I want to work on a sub-task for the "Architect AI Tooling as a Model Context Protocol (MCP) Servers" epic.

My task is to implement: Design Knowledge Base MCP Server API

You will need to read the epic context from @.github/ISSUE/epic-architect-ai-tooling-as-mcp.md and the specific ticket details from @.github/ISSUE/ticket-design-knowledge-mcp-api.md before we begin.

tobiu added parent issue #7399 on Oct 7, 2025, 12:05 PM

tobiu added the enhancement label on Oct 7, 2025, 12:05 PM

tobiu added the help wanted label on Oct 7, 2025, 12:05 PM

tobiu added the good first issue label on Oct 7, 2025, 12:05 PM

tobiu added the hacktoberfest label on Oct 7, 2025, 12:05 PM

tobiu added the ai label on Oct 7, 2025, 12:05 PM

Chesblaw Oct 8, 2025, 5:45 AM

@tobiu sup can you assign me

tobiu Oct 8, 2025, 11:32 AM

Hi, and thanks for your interest. Sure, I can assign the ticket to you. Please look into the parent epic first, since it requires the new "AI Native" workflows: https://github.com/neomjs/neo/issues/7399

tobiu assigned to @Chesblaw on Oct 8, 2025, 11:32 AM

tobiu Oct 24, 2025, 11:26 AM

Hi @Chesblaw,

Thank you for your interest in this ticket during Hacktoberfest.

As there has been no activity for a couple of weeks and the project's architecture has been evolving rapidly, the API for the Knowledge Base MCP server has now been designed and implemented.

We're closing this ticket now. Thanks again for your willingness to contribute, and we hope to see you in other issues!

tobiu closed this issue on Oct 24, 2025, 11:26 AM