mdedit.io VS ContextForge.dev

mdedit.io's answer

mdedit.io combines a distraction-free Markdown editor with professional document production in a single browser app — no account, no install. It is the only open-source browser editor that offers outline navigation for long documents, print-ready PDF export via Paged.js, DOCX export, BibTeX/CSL citations, Mermaid diagrams, KaTeX math, and optional AI assistance together in one tool. Everything runs in the browser and can be fully self-hosted.

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.

mdedit.io's answer

Most Markdown editors are built for quick notes. mdedit.io is built for serious documents: thesis drafts, technical specifications, reports, academic papers. Unlike Typora or Obsidian it runs entirely in the browser with no installation. Unlike StackEdit or Dillinger it produces print-ready PDF output with proper page layout, headers, footers and page numbers. Unlike Notion or Google Docs it requires no account and can be self-hosted under an open-source license (Apache 2.0).

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.

mdedit.io's answer

Students and academic authors writing thesis papers, seminar papers or research articles who want an alternative to LaTeX without giving up document quality. Secondary audiences are developers and technical writers who produce specs, ADRs or reports in Markdown, and privacy-conscious teams or organisations that self-host their own document tooling.

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.

mdedit.io's answer

mdedit.io was built out of frustration with the gap between note-taking Markdown editors and full document production tools. LaTeX produces great output but has a steep learning curve. Word struggles with long structured texts. Browser-based Markdown editors export basic HTML at best. The goal was a tool that feels as simple as a text editor but produces output as clean as a typeset document — directly in the browser, without an account, self-hostable for anyone who needs full control over their data.

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.

mdedit.io's answer

Node.js, Fastify, CodeMirror 6, markdown-it, Paged.js, Mermaid, KaTeX, better-sqlite3, Docker. Runs entirely in the browser on the client side for editing and preview; server handles persistence, collaboration and PDF rendering.

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.

mdedit.io's answer

• mdedit.io is currently in public beta with individual users