I Stacked 3 GitHub Repos Into a Weekend AI Services Business

#opensource #github #ai #tutorial

Three GitHub repos crossed 2,500 stars this month and — by accident — they slot together into a deployable AI services stack. Here is how I am running them on one terminal.

The Three-Layer Stack

Layer	Repo	Stars	What It Does
Visual	neilsonnn/image-blaster	2,944	Photo → explorable 3D world in ~5 minutes (Claude Code × World Labs marble-1.1 × FAL hunyuan-3d × ElevenLabs SFX)
Front-end	nexu-io/html-anything	2,599	Agentic HTML editor — auto-detects 8 coding CLIs, 75 skills × 9 surfaces, zero API keys required
Memory	Tencent/TencentDB-Agent-Memory	2,530	4-tier local memory (L0–L3), v0.3.4 released May 13 2026

Why the Memory Tier Matters

Tencent's published benchmarks for the L0–L3 hierarchy versus flat RAG:

Metric	Flat RAG → 4-Tier
WideSearch	33% → 50%
Tokens used	−61.38%
PersonaMem	48% → 76%

That is roughly half the tokens for double the persona recall — which is the difference between a demo and a paid product.

Install in One Terminal Session

git clone https://github.com/neilsonnn/image-blaster && cd image-blaster && bun install
git clone https://github.com/nexu-io/html-anything && cd html-anything && pnpm install
git clone https://github.com/Tencent/TencentDB-Agent-Memory && cd TencentDB-Agent-Memory && uv sync

No glue code required — html-anything auto-detects whichever CLI is on your PATH, and TencentDB-Agent-Memory exposes an HTTP shim that image-blaster can call as a memory backend.

Monetization Angles

Visual-first agency — sell branded 3D walk-throughs (real estate, product launches) using image-blaster + html-anything landing pages.
Long-running personal agents — license a private assistant with the 4-tier memory that actually remembers clients between sessions.
White-label AI dashboards — html-anything's 75 skills × 9 surfaces map onto every common SaaS dashboard pattern.

Walk-through (≈60 seconds):