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	9532
title	Support SSE transport for knowledge-base and memory-core MCP servers
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Mar 23, 2026, 4:50 PM
updatedAt	Mar 23, 2026, 5:01 PM
githubUrl	https://github.com/neomjs/neo/issues/9532
author	tobiu
commentsCount	1
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
blockedBy	[]
blocking	[]
closedAt	Mar 23, 2026, 5:01 PM

Support SSE transport for knowledge-base and memory-core MCP servers

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

Closed v12.1.0 enhancementai

tobiu commented on Mar 23, 2026, 4:50 PM

Description

To support cloud deployments (e.g., via Docker) of our MCP servers (specifically knowledge-base and memory-core), we need to add support for the Server-Sent Events (SSE) transport protocol.

Currently, these servers strictly use the StdioServerTransport which is suitable for local processes but cannot be used when exposing the server via a network endpoint.

Tasks

Add transport, ssePort, and authMiddleware to the default configurations in ai/mcp/server/knowledge-base/config.mjs and ai/mcp/server/memory-core/config.mjs.
Update initAsync in ai/mcp/server/knowledge-base/Server.mjs to dynamically load express and SSEServerTransport if the configured transport is sse.
Update initAsync in ai/mcp/server/memory-core/Server.mjs with the same logic.

This will allow users to deploy these services as cloud-native microservices while avoiding the need to add express as a dependency for local Neo.mjs environments.

tobiu assigned to @tobiu on Mar 23, 2026, 4:50 PM

tobiu added the enhancement label on Mar 23, 2026, 4:50 PM

tobiu added the ai label on Mar 23, 2026, 4:50 PM

tobiu referenced in commit 9075146 - "feat: Add SSE transport for MCP servers (#9532) on Mar 23, 2026, 5:00 PM

tobiu closed this issue on Mar 23, 2026, 5:01 PM

tobiu Mar 23, 2026, 5:01 PM

Input from Gemini 3.1 Pro:

✦ I have completed the implementation of the dynamic SSE transport loader for both MCP servers and pushed the changes to dev. I'm closing this ticket now, as we will handle the deprecation of SSEServerTransport in a separate follow-up ticket.