
SimpleCitizen
Interview Prep AI
Practice for your USCIS marriage green card interview with 383 real questions, AI mock interviews, and Stokes (separate-room) practice for couples. Available in English and Spanish. Built by a couple who went through it.

Agentmemory
Mem0
Stop re-explaining your project to Claude every session. ContextForge adds persistent memory to Claude Code, Cursor, and Copilot via MCP. Free tier, 3-minute setup.

Which is more popular?
Based on our record, ContextForge.dev seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | gcinterview.com | contextforge.dev |
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| Platforms | — | |
| Company | — | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


GCInterview (Green Card Interview Prep) is a dedicated practice tool for the USCIS marriage-based green card (I-485) interview. What it includes 383 real interview questions across 13 categories — daily life, finances, relationship history, family, home, and immigration status — compiled from...
ContextForge is persistent, searchable memory for AI coding agents — built on the Model Context Protocol (MCP). Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GCInterview and ContextForge.dev.
GCInterview's answer
GCInterview is the only interview prep tool built specifically for marriage-based green card (I-485) applicants. Instead of generic immigration info, it simulates the actual USCIS interview experience with an AI-powered officer who uses real interrogation techniques, including Stokes (separated room) interview practice. It was built by a couple who went through the process themselves.
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.
GCInterview's answer
Most competitors offer static lists of questions or general immigration advice. GCInterview gives you a realistic mock interview with an AI officer who adapts to your answers, catches inconsistencies, and uses the same pressure tactics real officers use. It also includes a Stokes interview simulator where couples practice being questioned separately - something no other tool offers. Plus, it's a one-time $19 payment, not a subscription.
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.
GCInterview's answer
Couples preparing for a marriage-based green card interview at a USCIS field office. Typically one partner is a US citizen (the petitioner) and the other is an immigrant (the beneficiary). They're usually anxious about the interview and want to feel prepared and confident before their appointment.
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.
GCInterview's answer
We built GCInterview while preparing for our own marriage-based green card interview. We couldn't find any tool that actually simulated the interview experience - everything was just blog posts with generic question lists. So we built what we wished existed: a realistic practice tool with an AI officer, evidence checklists, and Stokes interview prep. After using it for our own interview, we decided to make it available to other couples going through the same process.
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.
GCInterview's answer
React, Vite, Supabase (authentication and database), Stripe (payments), and Claude AI by Anthropic (powering the mock interview officer).
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.
GCInterview's answer
GCInterview serves individual couples preparing for their USCIS marriage-based green card interviews. As a consumer product, we focus on helping everyday couples rather than enterprise clients. We've helped couples from dozens of countries prepare for interviews at USCIS field offices across the United States.
Share your experience with using GCInterview and ContextForge.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking GCInterview since Mar 2026.
Init links the folder to a project, so every agent working in that repo reads and writes the same memory, and it adds the rules that make sessions check who else is live before big changes. For Cursor, Copilot, Claude Desktop and... - Source: dev.to / 16 days ago
I built ContextForge because I was losing this argument with my own agents several times a week. The idea is small: when we decide something, the agent saves the decision with the reason, in the project's memory. The next session, in... - Source: dev.to / about 1 month ago
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