---
title: "mdfy Bundle Spec v1.0 (Draft)"
url: https://memory.wiki/ycd04NxU
updated: 2026-05-04T22:07:01.012Z
hub: https://memory.wiki/hub/yc-demo
bundle_count: 1
concept_count: 12
source: "memory.wiki"
---
# mdfy Bundle Spec v1.0 (Draft)

A Bundle is a markdown document that wraps other markdown documents
as deployable AI context.

## Frontmatter (YAML)
```
---
mdfy_bundle: 1
id: <bundleId>
title: "..."
url: https://mdfy.app/b/<id>
document_count: N
updated: <ISO>
source: "mdfy.app"
---
```

## Body structure
- H1 = bundle title
- Optional blockquote = description
- H2 sections per included document, in sort order
- Each section: title, "Source: <url>", optional annotation, body

## Hub subtype
type: hub means body contains an INDEX (TOC + recent + categories)
not full doc bodies. Hub URLs reference doc URLs; AI follows links.

## Goal
Open standard. Any tool can produce or consume Bundles. mdfy.app is
the reference implementation.


---

## Concepts in this document
- **mdfy.app** _(entity)_
  Core platform enabling document import, AI structuring, and multi-format export.
- **mdfy** _(entity)_
  Alternative approach emphasizing author-owned memory and cross-platform sharing via URLs.
- **WYSIWYG editing** _(concept)_
  Allows users to edit directly in the rendered preview using contentEditable, bridging the gap between visual and source editing.
- **Mem0** _(entity)_
  AI memory platform using flat vector-based storage with top-K retrieval for memory recall per turn.
- **Letta** _(entity)_
  AI memory system inheriting MemGPT's hierarchical context-window architecture with core and archival memory tiers.
- **Claude** _(entity)_
  Mentioned as alternative AI platform that cannot access ChatGPT memories.
- **ChatGPT** _(entity)_
  Example AI system that can consume mdfy hubs via URL paste.
- **Vendor lock-in** _(concept)_
  The central argument that proprietary memory systems create strategic dependency on a single platform.
- **AI integration** _(concept)_
  MCP Server and AI provider abstraction enabling connection with ChatGPT, Claude, Gemini and other AI tools.
- **User-authored memory** _(concept)_
  The proposed alternative model where users control memory content rather than relying on extraction models.
- **AI Memory Systems** _(concept)_
  Core concept of how AI systems store and retrieve conversational context and learned information about users.
- **pgvector** _(entity)_
  Vector storage technology used by mdfy for managing 1536-dimensional embeddings.

## Concept relations (within this doc's concepts)
- **Mem0** similar to **Letta**
- **Vendor lock-in** controls access **AI Memory Systems**
- **Mem0** architectural alternative **Letta**
- **mdfy.app** implements **WYSIWYG editing**
- **mdfy.app** provides **WYSIWYG editing**
- **AI integration** extends capabilities of **mdfy.app**
- **mdfy** stores embeddings in **pgvector**
- **User-authored memory** core principle of **mdfy**

## Bundles containing this document
- [AI Memory Stack](https://memory.wiki/b/ycb00hEg)
  > Notes and references about AI memory systems including Mem0, Letta, OpenAI Memory, LLM Wiki, embeddings, and vector DBs. Background reading for the Memory.Wiki architecture.

_Hub canonical:_ https://memory.wiki/hub/yc-demo
_Concept digest:_ https://memory.wiki/raw/hub/yc-demo?digest=1&compact=1