Reeve.page VS ContextForge.dev

Reeve.page's answer

Reeve is built for one stack: apps made with AI builders on Supabase. The scanner knows which keys belong in a frontend (the Supabase anon key) and which are a real leak (a service_role key), so its report stays short and worth acting on. The backups are checked and encrypted: every copy is read back before it counts, kept outside Supabase, and put back with one button after a safety copy of today is saved.

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.

Reeve.page's answer

Reeve covers both halves in one place. It finds what is exposed in your app, and it keeps copies you can put back with one button. The backups include your users' uploaded files, and everything is explained in plain language for someone who has never opened the Supabase console.

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.

Reeve.page's answer

People who built a real app with Lovable, Bolt, v0, Cursor, Replit, Windsurf, Claude, Codex on Supabase, with users and data in it, and who are not database engineers. Also small studios and freelancers who build these apps for clients and look after them after handover.

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.

Reeve.page's answer

Reeve started with a pattern. Apps built with AI tools kept going live with the same short list of mistakes: secret keys in the frontend, database tables anyone could read, storage buckets open to the internet. Their owners had nobody watching after launch, and Supabase's free plan keeps no backups at all. Reeve is that somebody: a free scan to see where you stand, then care that watches the app and keeps a copy you can restore.

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.

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.