StampyWallet VS ContextForge.dev

StampyWallet's answer

The loyalty card is a real Apple Wallet and Google Wallet pass, not an app and not a web page customers have to bookmark. They add it in a few seconds from a QR code, it stays on their phone, and it updates on their lock screen after every stamp. On the shop side, there is nothing to buy or install: you scan cards with the phone you already have. And the dashboard does more than count stamps: it shows which regulars are drifting away and lets you bring them back with a message on their lock screen.

ContextForge.dev's answer:

ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing — all through a single MCP server you add with one command.

StampyWallet's answer

Because it is built for small shops that want a loyalty card running today, not a project. Setup takes about five minutes, there is no tablet or card reader to buy, and staff accounts are unlimited on every plan. Customers don't download an app, which is where most loyalty apps lose them. Win-back messages, birthday rewards and Google review requests are included, with a 30-day free trial and no commitment. Your customer data stays in the EU and you can export it at any time.

ContextForge.dev's answer:

Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.

StampyWallet's answer

Independent local businesses that live on repeat visits: cafés, bakeries, restaurants, pastry shops, nail and lash studios, hair and beauty salons, florists and small retailers. Usually the owner runs the shop and the loyalty program alone, has no time for a complex tool, and still uses paper stamp cards or nothing at all. StampyWallet started in France and works in English, French and Spanish.

ContextForge.dev's answer:

Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.

StampyWallet's answer

StampyWallet is built by a small independent team in France and launched in August 2026. The starting point was simple: local shops still ran their loyalty on paper cards that customers lose or forget, while the tools meant to replace them asked for an app, a tablet or a long setup. Apple Wallet and Google Wallet were already on every customer's phone, so the card should live there. The product keeps evolving through conversations with the shop owners who try it.

ContextForge.dev's answer:

ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.

StampyWallet's answer

• Node.js with Fastify for the web app and API
• PostgreSQL, hosted in the EU
• Apple Wallet: PassKit passes, updated through Apple push notifications
• Google Wallet API for Android
• Server-rendered HTML with Tailwind CSS
• Docker, deployed with Dokploy

ContextForge.dev's answer:

Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.