A MemoryPlugin Alternative for Work You Share With Other People

If you are looking for a MemoryPlugin alternative, first decide what you want to remember. MemoryPlugin is a personal memory: facts about you, your preferences and your past chats, carried from one AI app to the next. It is good at that, and if that is your need you may be better off staying with it or trying a similar personal tool. If what keeps getting lost is the work itself (what was decided, which tasks are open, where you stopped yesterday) and other people need to see it too, a shared board such as fenbs fits better. Many people end up using one of each.

What MemoryPlugin does

MemoryPlugin keeps a memory outside any one chatbot and makes it available inside the ones you use. Its home page says “Say it once in any AI. Every other one has it from your next conversation,” and lists ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek and Mistral among the tools it works inside. According to its own guide to how MemoryPlugin works↗ (opens in a new tab), there are two layers:

• Memories: short, separate facts that you ask it to save or that the AI saves for you, such as “I use TypeScript and Tailwind.” You sort them into buckets, for example work, personal and a side project, and you can edit or delete each one.
• Chat history: your past conversations, imported from other AI apps and searchable later. MemoryPlugin’s page on importing your chats↗ (opens in a new tab) covers uploading export files from ChatGPT, Claude and TypingMind, and syncing through the browser extension from several more.

It reaches your AI apps in several ways: a browser extension for Chrome and Safari, a custom GPT inside ChatGPT, a TypingMind plugin, an API, and an MCP server↗ (opens in a new tab) for apps such as Claude Desktop and Cursor. MCP is the standard way an AI app connects to an outside tool; our plain-words explainer covers it in two minutes. On the plain chat websites, MemoryPlugin explains, the extension asks the AI to write a marker line when something is worth saving, and picks it up from there. Where a real memory tool exists, as over MCP, it calls the tool directly.

Who should keep MemoryPlugin

Stay with MemoryPlugin, or pick a close cousin of it, if most of these are true:

• You mostly use AI on your own, and the thing you are tired of is re-explaining who you are, how you write and what you are working on.
• You switch between several chat apps in a browser, and you want your preferences to show up in each one without setting anything up per app.
• You have years of old chats you want to search from inside a new conversation.
• You are happy for the AI to decide much of what is worth saving, as long as you can review and delete it.

MemoryPlugin does offer shared buckets, which it marks as a Pro feature, so a colleague can read the same bucket. That is useful for a shared brief. It is still a set of remembered facts, though, not a list of jobs with owners and a record of who changed what.

Where a personal memory stops

A personal memory answers “what does the AI know about me?” Work raises different questions, and they are the ones that usually cause trouble when you switch apps or hand something to someone else:

• What did we decide, who decided it, and is it still true?
• Which tasks are open, which are finished, and which one was I in the middle of?
• What did the AI change last Tuesday, and was that me asking or the assistant acting on its own?
• What rules should every assistant follow on this project, whichever app I open?

A memory tool can store a sentence like “we decided to launch in March.” What it is not built to do is keep that decision as a record a person owns, with a date, a decider and a status, and stop an assistant from quietly rewriting it. That is a job for a shared record of work, which is a different kind of tool. Our guide to what agent memory is explains the general difference.

MemoryPlugin alternatives, by what you need

1. Another personal memory tool. If you like the idea but want a different approach, AI Context Flow organizes memory into project spaces, myNeutron is built around saving what you read and browse, and MemoryLake adds typed memories and version history. Our roundup of portable AI memory puts all four side by side.
2. The memory built into your AI app. If you have settled on one assistant, its own memory may be enough. Anthropic’s help center explains how to import memory into Claude↗ (opens in a new tab) from another provider with a copy-and-paste prompt, and says the feature is experimental. Our post on importing memory into Claude covers what moves and what does not.
3. A memory engine for developers. If you are building an AI app for your own users, you want an API, not an extension. Start with what Mem0 is.
4. A shared board for the work itself. If the problem is tasks, decisions and progress that several people and several AI apps need to read and update, that is what fenbs is for.

How fenbs handles the same problem

fenbs is a web app: a simple kanban board where you and your AI assistants keep projects, tasks, decisions and rules, lessons learned and where you left off. ChatGPT, Claude, Claude Code, Cursor, Copilot and other apps connect to the same board over MCP, so you can change apps or models without starting over. The difference from a memory tool is that everything is something you can see and edit on a page, not something the AI decides to keep.

• Tasks sit in four lanes: To Do, Next Up, In Progress and Completed. Each is a feature, an enhancement or a bug, with a note, a plan and a record of how it was tested.
• Decisions and rules are written by people. Rules are shown first, in full, to every assistant that connects. An assistant can ask a question or ask for sign-off, but it cannot sign a decision off itself, and it cannot pre-approve work.
• Where we left off is saved for each project at the end of a session when you say “save progress” or “hand off,” and each task has a short Where it stands note. The next session, in any app, starts from there. See AI agent hand off.
• History records every change and who made it, a person or a named assistant, such as “Claude via Sam.” More in our audit trail for AI agents.
• Sharing is by people and roles: you add someone to a team board with a role, and they see what that role allows.

What fenbs does not do is learn your tone of voice or search your old chats. It holds the work, not your personal profile.

Using both

The two do not compete for the same job. A sensible split is: MemoryPlugin, or another personal memory, for who you are and how you like things written; a shared board for what the team is doing and what it decided. If you use both, keep decisions in one place only. A rule saved as a memory and also on the board will drift, and you will not know which one the assistant read.