What is the Neural Link?

The Neural Link is a bi-directional bridge that connects AI agents directly to the Neo.mjs runtime. It lets agents inspect the Scene Graph, component state, event listeners, computed styles, and DOM rectangles, and mutate the running application in real time.

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

Neo.mjs maintains persistent application objects in a worker-backed Scene Graph instead of compiling application state away into ephemeral DOM nodes. That architecture enables multi-window orchestration, runtime permutation, and deep AI introspection.

What is Context Engineering?

Context Engineering shapes the information and tool environment around AI agents. Neo.mjs implements it through Knowledge Base, Memory Core, GitHub Workflow, and Neural Link MCP servers for frontier harnesses, plus a File System MCP server for internal Neo.ai.Agent local loops.

What is the Neo.mjs Agent OS?

The Neo.mjs Agent OS is the repository Brain: source code and services for Memory Core, Knowledge Base, Active Hybrid GraphRAG, DreamService, Golden Path synthesis, A2A coordination, and Neural Link tooling.

Frontmatter

id	7851
title	Documentation: Create Guide for "The Memory Core Server"
state	Closed
labels	documentationenhancementai
assignees	tobiu
createdAt	Nov 22, 2025, 9:15 AM
updatedAt	Nov 22, 2025, 9:32 AM
githubUrl	https://github.com/neomjs/neo/issues/7851
author	tobiu
commentsCount	0
parentIssue	7848
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]
closedAt	Nov 22, 2025, 9:32 AM

Documentation: Create Guide for "The Memory Core Server"

Closed v11.9.0/archive-v11-9-0-chunk-1 documentationenhancementai

tobiu commented on Nov 22, 2025, 9:15 AM

Create a new guide learn/guides/mcp/MemoryCore.md detailing the agent's persistent memory system.

Content Requirements:

Purpose: Explain the need for long-term agent memory and learning.
The "Save-Then-Respond" Protocol: Detail the transactional requirement for every turn.
Session Summarization: Explain how the server automatically discovers and summarizes past sessions on startup.
Querying: Explain the difference between query_raw_memories and query_summaries.
Update learn/tree.json: Add this new node to the navigation tree.