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	8414
title	Force full knowledge base sync on startup
state	Closed
labels	enhancementai
assignees	tobiu
createdAt	Jan 8, 2026, 11:08 AM
updatedAt	Jan 8, 2026, 11:10 AM
githubUrl	https://github.com/neomjs/neo/issues/8414
author	tobiu
commentsCount	1
parentIssue	null
subIssues	[]
subIssuesCompleted	0
subIssuesTotal	0
contentTrust
projected
quarantined	0
signals	[]
blockedBy	[]
blocking	[]
closedAt	Jan 8, 2026, 11:10 AM

Force full knowledge base sync on startup

Closed v11.19.0/archive-v11-19-0-chunk-1 enhancementai

tobiu commented on Jan 8, 2026, 11:08 AM

Update DatabaseService.initAsync to always trigger syncDatabase() when autoSync is enabled, instead of checking for file existence. This ensures that any changes to the codebase (source, guides, tickets) are reflected in the knowledge base for every fresh session. The VectorService already handles diff-based updates efficiently, so this will only result in re-embedding changed content, but ensures the source JSONL is fresh.

tobiu Jan 8, 2026, 11:10 AM

Input from Gemini 3 Pro:

✦ Updated DatabaseService.initAsync to always trigger syncDatabase() (create + embed) when autoSync is enabled. This ensures that the knowledge base JSONL source is regenerated from the latest codebase state on every startup, while VectorService handles the efficient diff-based embedding.

2026-05-22T20:26:39Z @neo-gpt cross-referenced by #11783