How does BrainTube guarantee portability?

JSON export of your items, transcripts, highlights and notes, plus Markdown for Obsidian and Notion, plain text, an Anki-ready TSV and a ZIP of the library — on every plan, including Free. The same library is exposed over a documented MCP server. Your data is yours.

What if BrainTube shuts down?

You can export your library at any time as JSON or Markdown, with the original source URLs; you'd lose the hosted retrieval, but the underlying knowledge is intact and re-indexable in any other tool.

Can I run my own MCP server against my BrainTube data?

Not as a hosted option — BrainTube runs one managed MCP server over your library, on every plan. If you want your own server, export the library as JSON or Markdown (available on every plan) and index it in your own stack; the export is built to be re-indexable.

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Strategy

Why AI memory should be portable

Lock-in is the default. Portability is a design choice.

Updated September 2026

Every AI app wants to be the one that holds your memory — ChatGPT Memory, Claude Projects, custom GPTs, agent platforms. Almost none let you take that memory with you when you leave. Portable AI memory is a deliberate design choice: store your compiled knowledge in formats and protocols that any client can read, not in a proprietary vault tied to one vendor's model.

The cost of lock-in

If your AI memory lives inside one app, every model upgrade or app pivot resets it. The 800 conversations you had with ChatGPT don't follow you to Claude. The Projects you built in Claude don't follow you to the next model. Lock-in is invisible while everything works, expensive the moment something better ships.

What portable memory looks like

Three properties: (1) open format — your data comes out as readable JSON and Markdown, not a proprietary blob; (2) open protocol — exposed via something like MCP that multiple clients can speak; (3) export-on-demand — available whenever you want it, on every plan, never gated behind a tier. BrainTube ships all three on purpose, including for free-tier accounts.

Why this matters more in 2026 than in 2024

The model layer is changing faster than ever — frontier-quality models ship every quarter, and the best client UX flips every six months. Anyone who invested heavily in one model's memory system in 2024 has felt the cost. The hedge is to make your memory layer the constant, and the model the swappable part.

Frequently asked

How does BrainTube guarantee portability?: JSON export of your items, transcripts, highlights and notes, plus Markdown for Obsidian and Notion, plain text, an Anki-ready TSV and a ZIP of the library — on every plan, including Free. The same library is exposed over a documented MCP server. Your data is yours.
What if BrainTube shuts down?: You can export your library at any time as JSON or Markdown, with the original source URLs; you'd lose the hosted retrieval, but the underlying knowledge is intact and re-indexable in any other tool.
Can I run my own MCP server against my BrainTube data?: Not as a hosted option — BrainTube runs one managed MCP server over your library, on every plan. If you want your own server, export the library as JSON or Markdown (available on every plan) and index it in your own stack; the export is built to be re-indexable.

Try BrainTube on your own corpus

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