7 MemoryPlugin Alternatives for Cross-Platform AI Memory

MemoryPlugin syncs one memory across ChatGPT, Claude and the other chatbots you use, built from what you've told them. The main MemoryPlugin alternatives are AI Context Flow (another memory extension), Basic Memory and the official MCP memory server (local memory over MCP), Supermemory (for developers), the built-in memory in ChatGPT and Claude, and Unabyss, which builds memory from your work apps rather than your chats.

Which one fits depends on what your AI keeps getting wrong.

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What does MemoryPlugin do?

MemoryPlugin keeps one memory and hands it to ChatGPT, Claude, Gemini, Cursor and other AI tools through a browser extension, an MCP server and a Custom GPT. Its homepage promises "one shared memory across ChatGPT, Claude, Gemini, Cursor and 21+ AI tools", and its platform grid lists 23, from Grok, Perplexity and DeepSeek to Claude Code, Codex and TypingMind (MemoryPlugin).

How it works, from its own docs (How MemoryPlugin works):

• Memories come from you. You tell the assistant to remember something or accept a memory it suggests. You can also upload chat exports from ChatGPT, Claude and TypingMind, sync chats from those three plus Grok, DeepSeek and Gemini through the extension (MemoryPlugin help), and upload PDFs, Word and Markdown files.
• Buckets keep them apart. Each memory lives in exactly one bucket, such as work, personal or a client, and Pro lets you share a bucket with a collaborator.
• The extension injects memory into web chats. With auto-inject on, your memories go into a new chat when you send the first message, after a five-second countdown you can cancel (MemoryPlugin help).
• MCP clients call it as a tool. Claude, Cursor and other MCP clients can query MemoryPlugin's MCP server, though only when the model decides to call it.

Pricing is annual: Core is $89 a year with chat history capped at your last 500 conversations, and Pro is$180 a year with unlimited history, a knowledge graph in early beta and shared buckets. Both start with a 7-day free trial that needs a card (MemoryPlugin pricing, checked October 2026). Its homepage reports more than 7,200 users in 74 countries (October 2026).

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Why look for a MemoryPlugin alternative?

Three gaps send people looking: the memory only knows your AI chats, getting it into a chat depends on each platform's web page, and the pricing is built around a yearly commitment.

• It only knows what you've said to AI. MemoryPlugin's sources are saved memories, chat history and uploaded files. If Claude keeps getting your project wrong because the latest decision lives in a Slack thread or a calendar invite, a better archive of past conversations won't fix it.
• Extension injection is fragile by nature. MemoryPlugin's own wiki says injection can break when a platform changes its page structure, until it's patched. The MCP path is sturdier, but it depends on the model choosing to call the tool.
• Annual first. The pricing page has a monthly toggle but doesn't show monthly prices, and the trial requires a card.

None of these make MemoryPlugin a bad tool. They just describe where its model of memory, saved chat memories, stops.

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How do the MemoryPlugin alternatives compare?

The useful way to compare them is how each one gets memory into your AI and what that memory is made of. Prices are from each vendor's own pricing page (checked October 2026).

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Which MemoryPlugin alternative should you choose?

Choose by the failure you're trying to fix: if your AI forgets what you told it, you need a chat-memory tool; if it doesn't know what you're working on, you need context from your work apps.

For the same idea, done differently: AI Context Flow

AI Context Flow, from Plurality Network, is the closest match to MemoryPlugin: a browser extension for ChatGPT, Claude, Gemini, Grok and Perplexity, where Ctrl+I adds saved context to a prompt, plus an MCP server for Cursor, Claude Code, Windsurf and GitHub Copilot (AI Context Flow). Context lives in a Memory Studio, split into spaces per project or client that you can share by link. It has a free plan and says it runs on trusted execution environments, a claim the page doesn't detail. Its pricing section and FAQ disagree on credit limits, so check before you buy.

For context from your work apps: Unabyss

Unabyss doesn't wait for you to save memories. You connect at least two apps, and it builds your context from them and serves it to Claude, ChatGPT, Cursor and other MCP clients. The full comparison is in the next section.

For memory on your own machine: Basic Memory and the official memory server

Basic Memory keeps plain Markdown files in a local knowledge graph and serves them over MCP to Claude, Codex, Cursor and VS Code, open source and free locally (Basic Memory). The official MCP memory server is the minimal version: a knowledge graph of entities and facts in one JSONL file on your disk, which any local MCP client such as Claude Desktop or Cursor can call (modelcontextprotocol/servers). Neither reaches web chats the way MemoryPlugin's extension does, and both only know what you or your AI wrote down. Setup for both is in the best memory MCP servers for Claude.

For builders who also want an API: Supermemory

Supermemory runs an MCP server for ChatGPT and Claude and plugins for Claude Code, Cursor and Codex, but at heart it's a memory API for people building apps. If that's you, 8 Supermemory Alternatives for Developers and Individuals covers it next to Mem0, Zep and Letta.

If you mostly use one assistant: built-in memory

ChatGPT, Claude and Gemini all remember you now, at no extra cost, but only inside their own app. Covered in the last section below.

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Unabyss vs MemoryPlugin: what's the difference?

MemoryPlugin remembers what you've said to AI; Unabyss builds context from where your work happens and serves it to the same tools. That one difference drives the rest.

• Where memory comes from. MemoryPlugin: saved memories, imported chats, uploaded files. Unabyss: you connect at least two of its 26 apps, and it extracts a structured picture of your role, projects, people and preferences. The extraction keeps running in the background, so the picture changes when your inbox and calendar do (How Unabyss works).
• How it reaches your AI. MemoryPlugin injects memory into web chat apps through its extension and also offers MCP. Unabyss works over MCP with Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini CLI and other clients, needs no browser extension, and offers more than 20 one-click Markdown exports for tools that don't speak MCP.
• Control. MemoryPlugin separates memories into buckets. Unabyss lets you decide what each tool sees per app and per file, and connects to your apps with read-only access (Unabyss security).
• Price. MemoryPlugin Core works out to about $7.40 a month, billed yearly. Unabyss Pro is$15 a month, or $13 billed annually, after a 7-day trial with no credit card required.

A concrete case: you move a client launch from May to June in a calendar invite and confirm it in Slack. MemoryPlugin still holds May if that's what you once told ChatGPT, until a chat mentions the change and you accept the update. Unabyss reads the change from Calendar and Slack, so Claude, ChatGPT and Cursor all work with June.

That difference shows up in output. In an August 2026 Unabyss benchmark, adding Unabyss to an assistant that already had the same tools connected cut cost by 36%, time by 38% and follow-up prompts by 60%, and the quality of accepted output rose from 7.7 to 8.9 out of 10 (What Structured AI Context Is Worth).

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Where is MemoryPlugin the better choice?

MemoryPlugin is the better choice when your memory really is your chat history.

• You have years of ChatGPT and Claude conversations you want searchable and carried into new tools. It brings in chats from six platforms, with no cap on Pro.
• You use web chatbots that don't support MCP, such as DeepSeek, Mistral or Poe. The extension reaches them; Unabyss reaches those only through Markdown exports you paste in.
• You want the lowest price. $89 a year is less than Unabyss Pro.
• You want memory on your phone's browser, through its Safari extension on iOS or Quetta Browser on Android.

Unabyss is the better choice when the problem isn't that your AI forgot a conversation, but that it never knew what's in your inbox, calendar and docs.

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Doesn't ChatGPT already have memory?

Yes, and so do Claude and Gemini, but each keeps its built-in memory inside its own app. ChatGPT's newer memory system, rolling out first to Plus and Pro users in the US, updates itself from your chats, files and connected apps, and Gmail counts as a memory source on Plus and Pro outside the EEA, Switzerland and the UK (OpenAI). Claude's memory is on by default for Free, Pro and Max, keeps a separate memory per project, and has an experimental import and export (Claude Help Center).

A one-time import isn't a sync, though: the next thing you tell ChatGPT stays in ChatGPT. That gap is what every tool on this page exists to close, and the wider field is ranked in Best AI Memory Tools Across ChatGPT, Claude & Cursor. For the two-assistant setup specifically, see How to Give Claude and ChatGPT the Same Memory.

If your AI tools keep missing what's in your inbox and calendar rather than what's in your old chats, start a 7-day Unabyss trial and connect two apps.

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Related

• 8 Supermemory Alternatives for Developers and Individuals
• How to Give Claude and ChatGPT the Same Memory
• How to Share Memory Across All Your AI Tools