Tenoa.app VS ContextForge.dev

Tenoa.app's answer

Tenoa saves your library as plain files in a regular folder on your hard drive. Most visual bookmark managers lock your links and images inside a proprietary database. If you stop using Tenoa, your library survives intact. We built semantic search on top of those plain files so you can find things by meaning instead of remembering filenames.

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.

Tenoa.app's answer

Tools like mymind or Eagle are great until they change their pricing or shut down. Tenoa is for people who want a visual library they actually control. You pay $49 once for the software and it runs locally. There is an optional $29 yearly charge for hosted sync, but if you skip it, everything on your machine keeps working forever.

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.

Tenoa.app's answer

I built this for people who have been burned by subscription tools holding their data hostage. The audience has a growing overlap with visual thinkers and designers who collect reference material. They want a visual way to browse their inspiration without algorithms or rented servers. They want their library to be genuinely theirs.

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.

Tenoa.app's answer

I built it for myself first. I wanted a tool that worked like mymind where I could save anything without thinking about folders. I just refused to put my entire brain into another subscription service I didn't control. I built it solo and launched it in September 2026.

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.

Tenoa.app's answer

The architecture is entirely local-first. Your library is a standard folder of markdown and media files on your disk. We use semantic embedding models to power the search so you can find concepts instead of exact text. The optional AI features run locally or through your own API key so your data never touches a server I control.

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.