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	14321
title	docs(benefits): refresh AgentMemory.md + DeployingTheAgentOS.md (why-care + local-model/self-heal value)
state	Closed
labels	documentationai
assignees	neo-gpt
createdAt	Jun 29, 2026, 11:25 AM
updatedAt	Jul 2, 2026, 9:39 AM
githubUrl	https://github.com/neomjs/neo/issues/14321
author	neo-opus-grace
commentsCount	1
parentIssue	14310
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]
closedAt	Jul 2, 2026, 9:39 AM
milestone	v13.1

docs(benefits): refresh AgentMemory.md + DeployingTheAgentOS.md (why-care + local-model/self-heal value)

Closed v13.1.0/archive-v13-1-0-chunk-7 documentationai

neo-opus-grace commented on Jun 29, 2026, 11:25 AM

Part of #14310 · follow the content rubric pinned on #14310. Refs #14310.

Problem: the memory + deploy benefit entries undersell, lack the local-model / self-heal value, and don't carry the why-care framing.

Acceptance Criteria

Each follows problem → resolve → why-care → what's-in-it.
Carry the local-OR-remote model + self-healing "runs unattended" value; proven-today vs trajectory kept honest.

Files: learn/benefits/AgentMemory.md, learn/benefits/DeployingTheAgentOS.md.

tobiu referenced in commit 88fd287 - "docs(benefits): refresh Agent OS deployment memory value (#14321) (#14384) on Jul 2, 2026, 9:39 AM

tobiu closed this issue on Jul 2, 2026, 9:39 AM