Practical Guide · Building a Memory-Enabled AI Writing Partner (Part 1): Multi-Agent Architecture Evolution

Sun, 25 Jan 2026 10:00:00 +0800

When writing a long novel, the most painful part isn’t “not being able to write,” but “forgetting what you’ve already written”: Did I set up that foreshadowing properly? Was the character already injured in the last chapter? When exactly was that specific rule established? Once the word count reaches hundreds of thousands, relying solely on human memory and scattered notes quickly spirals out of control.

FantasyNovelAgent grew out of this very need, evolving step by step: starting as a simple Python script, then adding dynamic memory and automatic archiving, followed by multi-device sync support, and finally moving toward a front-end/back-end separation with a cloud-native storage prototype. This article reviews that evolutionary path and explains the key trade-offs made along the way, offering a reference for similar projects.

Hands-On: Building an Automated AI Semantic Search with Cloudflare Vectorize and Gemini

Fri, 23 Jan 2026 15:30:00 +0800

In 2026, adding AI search to a personal blog is nothing new. But achieving it with zero cost, full automation, and high performance remains a technical topic worth exploring.

This article breaks down the technical architecture behind this site’s AI Search feature, showing how to combine Cloudflare Workers, Vectorize, D1, and Google Gemini to build a closed-loop RAG (Retrieval-Augmented Generation) system.

1. Core Architecture Design

Our goal is a fully automated workflow: write and deploy. The author only needs to push Markdown articles; everything else—vector generation, index updates, frontend deployment—is automated.

Cloudflare - Tag - Shengxu · Cloud Architecture & DevOps

Practical Guide · Building a Memory-Enabled AI Writing Partner (Part 1): Multi-Agent Architecture Evolution

Hands-On: Building an Automated AI Semantic Search with Cloudflare Vectorize and Gemini

1. Core Architecture Design