Dillinger
Typora
StackEdit
Markdown by DaringFireball
MarkdownPad
HedgeDoc
Rentry.co
MarkPad
ContextForge.dev
Agentmemory
OpenMemory MCP
ContextForge is persistent, searchable memory for AI coding agents โ 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 recalls it later with semantic search โ across sessions and across projects.
Works with: Claude Code, Claude Desktop, Cursor, GitHub Copilot, ChatGPT, and Windsurf.
Dillinger ContextForge.devDillinger is recommended for developers, writers, and anyone who frequently works with Markdown documentation. It's particularly useful for those who need access to their documents across different devices or want to store them in the cloud.
ContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once โ Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf โ 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 โ all through a single MCP server you add with one command.
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.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants โ Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf โ 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.
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 โ 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.
Based on our record, Dillinger seems to be more popular. It has been mentiond 27 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Dillinger (Online - https://dillinger.io/): For a straightforward online experience, Dillinger is a solid choice. It offers split-screen viewing with live preview and supports saving to various platforms. It's a no-frills option that gets the job done efficiently. - Source: dev.to / 12 months ago
Dillinger - A cloud-enabled, mobile-ready, offline-storage, AngularJS-powered, HTML5 Markdown editor. - Source: dev.to / over 1 year ago
Dillinger: An online editor that offers cloud storage and supports various export formats like HTML5 and PDF. - Source: dev.to / almost 2 years ago
Simply access https://dillinger.io and paste your markdown code there. It has the option to export to PDF, as well as some other formats. - Source: dev.to / almost 2 years ago
I have used Markdown before (https://dillinger.io/) so wouldn't have a problem with using it again as long as on page SEO isn't any extra effort. I am not sure how I would use Markdown and then add the content to the blog to be deployed and if that is going to be much harder than a headless CMS, I would go for the headless. Source: over 2 years ago
Typora - A minimal Markdown reading & writing app.
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
StackEdit - Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.
OpenMemory MCP - Your private, local memory layer for all AI tools
Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber
MarkdownPad - MarkdownPad is a full-featured Markdown editor for Windows. Features: