mdfy Demo's hub
A hand-curated example hub showing what mdfy makes possible — captured AI conversations, research notes, project decisions, and the bundles that synthesise them. Paste any URL into Claude, ChatGPT, or Cursor to see the full payload.
Paste the URL into Claude, ChatGPT, or Cursor. The AI fetches a structured index and follows the inline links to read individual docs and bundles as needed.
https://memory.wiki/@demoBundles
Captured conversations + external reading on how AI memory architectures actually work. Reading order: the Claude conversation lays out the three patterns, the Karpathy summary names the philosophical frame, the formatting tour is a side-quest reference.
Acme Pulse, a fictional landing-page builder. The seven docs in this bundle are the project's living context — README, auth pattern, DB schema, API conventions, UI patterns, decision log, open questions. Paste this bundle URL into Cursor's .cursor/rules and Claude Code's CLAUDE.md; both AI tools now have the same project memory and stay in sync as the docs update. This is the wedge use case mdfy's URL-as-memory thesis is built around.
Pre-launch plan + GTM channels + what not to do. The strategy bundle a reviewer can read end-to-end.
Side-by-side notes on Mem0, Letta, Microsoft GraphRAG, Karpathy's LLM Wiki, llms.txt adoption.
A working bundle: the ADR for shipping graph_data in URLs, the cross-AI moat argument, and a hands-on integration note for Cursor. Three docs that explain *what we're building and why* in 10 minutes of reading.
Claude Code, Codex (AGENTS.md), MCP server, Cursor — every wiring path the demo hub supports.