Engram vs MemoryPlugin: Browser Extension or MCP-Native Memory?

If you're comparing Engram and MemoryPlugin, you've already figured out the important thing: AI tools forget you, and the memory each platform builds in stays locked to that platform. Both products fix that. They just fix it with opposite architectures — and the architecture, not the feature list, is what decides which one fits you.

This is a comparison we have an obvious stake in — we build Engram. So we'll keep it concrete, say plainly where MemoryPlugin is the better choice, and let you decide.

The 30-second summary

Two opposite architectures

MemoryPlugin is a browser extension. It lives in Chrome, watches the chat page you have open, and injects remembered facts into the conversation. That design has a real advantage: breadth. Any AI with a web UI can be supported — which is how MemoryPlugin covers 21+ platforms, far more than anyone else in this category.

Engram is an MCP server. Instead of modifying the page from outside, the AI itself is given memory tools — search and append_messages — over the Model Context Protocol, the open standard OpenAI and Anthropic both adopted for connecting tools. ChatGPT or Claude decides when to save and when to recall, the same way it decides to search the web.

The consequences of that choice run deep:

• Where memory can reach.An extension exists only inside a desktop browser. Claude Code runs in a terminal. Cursor is an IDE. The ChatGPT mobile app has no extensions. An MCP server is on the AI's side of the connection, so it works in all of them — same memory, everywhere.
• Fragility. Extensions depend on the structure of each chat page, and those pages change without notice. MCP is a versioned protocol both platform vendors maintain on purpose.
• Agency. Injected context is pushed into every conversation whether relevant or not. A tool-calling AI retrieves memory when the conversation needs it, and can search it — “what did we decide about the auth flow?” is a query, not a scroll.

What actually gets remembered

The second difference matters more than the first, and it's philosophical: what counts as a memory?

MemoryPlugin — like ChatGPT's built-in memory, and like most of this category — stores distilledmemories: short notes such as “user prefers TypeScript” or “user is planning a trip to Japan.” Distillation is efficient, and for preferences it's genuinely fine.

Engram stores the conversation itself, verbatim — then makes it searchable by meaning. No summarization pass, no paraphrase, no fact extraction deciding what was worth keeping. The difference shows up exactly when precision matters:

• the exactfix you found at 1am, not “worked on auth bug”
• the specific wording of a decision, a quote, a spec, a number
• context that didn't look important at save time — a summary throws it away forever; a transcript still has it

We've written more about why this is the hill we die on in verbatim memory vs. summaries — the short version is that every summary is a bet about what future-you will need, and summaries lose that bet at the worst moments.

Where MemoryPlugin is stronger

Being honest, because it's the point of this page:

• Platform breadth.If your daily rotation includes Gemini, Grok, Perplexity, DeepSeek and friends — Engram doesn't reach those today. MemoryPlugin does.
• Annual price.Core at $79/yr works out cheaper than Engram Pro at $9/mo, and they offer lifetime licenses. If cost per month decides it and the free tier isn't enough, they win that line item.
• Maturity of the extension experience. It's a polished product with a 4.5★ Chrome Web Store rating and years of iteration on the inject-into-the-page workflow.

Where Engram is stronger

• Coding tools, natively. Engram is the memory layer for Claude Code and Cursor — and on Claude Code it captures sessions automatically: every word, decision, and fix, saved as you work, searchable later from any connected AI. No extension can do this; there's no browser to extend.
• Verbatim, with real search. Full transcripts, hybrid semantic + keyword search over them, and the AI queries memory itself instead of having notes pushed into its context.
• No browser required. Memory lives server-side. ChatGPT on your phone recalls the same memory your terminal saved this morning.
• Ownership.Because nothing is distilled, what you see is literally what's stored — auditable, exportable at any time, deletable. Plus an API and CLI if you want to build on it (one user built an Obsidian knowledge graph on ours).
• A real free tier. 10,000 messages, no credit card, no trial clock. You can run Engram for months without paying and find out if the habit sticks.

Pricing, honestly

MemoryPlugin: $79/year Core, $149/year Pro, with lifetime licenses ($200/$400) and a 7-day trial. Engram: free up to 10,000 stored messages, then Pro at $9/monthfor a 1,000,000-message ceiling. Annualized, MemoryPlugin Core is cheaper than Engram Pro ($79 vs $108); Engram's free tier is more product than their trial. Neither price should decide this — the architecture should.

Which one should you pick?

Pick MemoryPlugin ifyou live across many web chat UIs — ChatGPT plus Gemini plus Grok plus Perplexity — in a desktop browser, and what you want remembered is preferences and facts about you. It's the widest net in the category.

Pick Engram if any of your AI life happens outside a browser tab — Claude Code, Cursor, the ChatGPT mobile app, your own scripts — or if what you need back is the exact words, not a note about them. If you're a developer who researches in ChatGPT and builds in a terminal, that's the case Engram was built for.

The nice thing is you don't have to take our word for it: connect Engram free (10,000 messages, no card), tell your AI to remember one real thing, then open a different tool and ask for it back. The architecture argument settles itself in about two minutes.