https://github.com/andrearcaina/shopecho
agentic ai for shopify merchants to protect/express/market their brand identity
https://github.com/andrearcaina/shopecho
Last synced: 4 months ago
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agentic ai for shopify merchants to protect/express/market their brand identity
- Host: GitHub
- URL: https://github.com/andrearcaina/shopecho
- Owner: andrearcaina
- Created: 2026-01-17T02:46:08.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2026-01-18T04:29:00.000Z (5 months ago)
- Last Synced: 2026-01-18T13:51:45.043Z (5 months ago)
- Language: TypeScript
- Homepage:
- Size: 36.7 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ⛰️ ShopEcho
ShopEcho is an **agentic AI platform** designed for Shopify merchants to maintain control over how their brand appears in AI-driven commerce experiences.
---
## ✨ What ShopEcho Does
Shopecho helps Shopify merchants:
- 🛡️ **Protect** brand voice and messaging in AI interactions
- 🎨 **Express** consistent tone, personality, and positioning
- 📣 **Market** products through autonomous, brand-aware AI agents
---
## 🚀 Core Features
### 🧠 Brand-Aware Multi-Agent Workflow
An intelligent multi-agent workflow that is trained on your store’s:
- Brand voice & tone guidelines
- Product catalog & descriptions
- Store policies and FAQs
This allows ShopEcho to respond, recommend, and generate content that *sounds like your brand*.
Here is a high level overview of how our agentic workflow orchestrates:

---
### 🛍️ Shopify-Native Integration
- Secure OAuth-based Shopify app
- Reads product metadata, collections, and policies
- Designed to work with emerging agentic commerce standards
---
### ✍️ AI-Powered Content & Marketing
- AI generated video content (for inspiration, marketing, MVPs, etc)
- AI generated marketing copy and campaigns
- AI generated product descriptions
- AI generated brand-safe responses for customer-facing use cases
---
### 🛠️ Tech Stack
- Shopify App Framework
- Shopify Remix + Polaris Web UI Framework
- Python + FastAPI
- LLMs (Backboard with Opus & Gemini, ElevenLabs, TwelveLabs)
- Multi-agent orchestration patterns (see [docs/designs/images/agent-workflow.png](docs/designs/images/agent-workflow.png))
Here is a high level diagram of the entire tech stack in action:

---
### 🖥️ How to Install
Install python and pip
Then run these commands:
```bash
> git clone https://github.com/andrearcaina/shopecho
> cd backend
> pip install -r requirements.txt
> cd ../frontend
> npm i
> npm run dev
# new terminal in backend folder
> uvicorn main:app --reload
```
### 🧩 Roadmap
- We plan to make it so that we have the ability to send out emails as well instead of just drafting
- We didn't have the time to add Amplitude for AI analytics and how our agents are doing
- We also plan to implement a more robust video creation to support longer times