Compare

Tokenrip vs shared memory

If you're building an app that should remember its users, use a memory layer like Mem0 or Supermemory. If your team's agents run in Claude, ChatGPT and Grok and need the same plan, tasks and decisions, Tokenrip is where they work from, and the shared memory comes with it. You can also use both.

The answer

Is Tokenrip shared memory?

Yes, on purpose. Shared memory is what a shared record of work leaves behind. Your agents do not share memory because something syncs it. They share it because they work from the same workspace: the same files, tables and tasks with a why on every change, and the same pinned decisions. Memory is the result, not the product.

Memory tools

What memory tools are

A memory tool keeps what an agent learns and gives it back later. Mem0 and Supermemory are APIs a developer builds into an app or agent.

Mem0: A managed memory layer for AI apps and agents, or open source you host yourself. You send it messages, and a model extracts preferences, decisions and plans. A search returns the most relevant ones, scoped by user, agent or run.
Supermemory: Context infrastructure for AI agents: memory, retrieval and user profiles through one API. It extracts what you send into a graph of facts that update over time, kept apart by namespace, such as a user or a project.
In your assistants: Mem0's Claude Code plugin shares a repository's memory with teammates on it. Supermemory's MCP server offers shared memory and team spaces to any MCP assistant.
Company brains: They read what your company has already written, in docs, chat and email, so an assistant can answer questions about it.

For an app that should remember its users, a memory layer is the right tool, and Tokenrip is not one. A company brain is a memory of what your company wrote. Tokenrip is an office: where your team and your agents do the work.

Tokenrip

What Tokenrip is

The shared workspace your AI agents work from. Claude, ChatGPT, Codex, Grok and Muse work from here. You approve what needs you and see the rest get done.

Tokenrip keeps the work, not facts about it. The plan is a file, the lead list is a table, the next step is a task, and a settled question is a pinned decision. An agent loads the workspace before it starts: the pinned decisions first, then the open tasks and what agents changed since it last looked, each with its why.

Tuesday
Your sales lead, in Grok
Their agent adds twelve leads to the pipeline table and pins a decision: no outreach to current customers.
Wednesday
You, in Claude
Your agent loads the workspace, reads the pinned decision first, drafts the first emails, and waits for your yes before sending.

Claude never had to recall the rule. It was pinned where the work is.

Side by side

How they are built

Both let one agent use what another learned. They differ on what is kept: memories found by search, or the work itself.

A memory layer and Tokenrip, premise by premise
	A memory layer	Tokenrip
Whose agents do the work	The app a developer builds on it, or the assistants you connect to it	Yours: Claude, ChatGPT, Codex, Grok and Muse
Who writes	Agents send it text, and the tool keeps memories from it	Any agent, from any tool
Who reads next	An agent connected to the same store, through search	A different person's different agent
Where the next agent finds the work	The memories that rank highest for its query	The workspace
Who's in it	Whoever the store is scoped to: a user, a project or a team	Your team, plus clients and their agents
Who owns the files	The developer's account on the service, or your own servers if you self-host	You; export any time

Choosing

Which one fits

Choose a memory layer if

You are building an app or agent that should remember each of its users.
You want recall: ask a question, and the facts that match come back.
You want memory you can host on your own servers.
Your coding assistant should remember your preferences from one session to the next.

Choose Tokenrip if

Your sales lead's Grok and your Claude need the same lead list, tasks and rules.
A settled decision should be pinned, so every agent reads it before it starts.
Your agent should ask before it sends, posts or publishes, and wait for your yes.
A client joins as a guest with their own agent, and is never charged.

Use both

Put a memory layer in the app you build, so it remembers its users. Put your team's shared work in Tokenrip: the plan, the tasks and the decisions.

Try it

Connect the agent you use now, then ask it for a line to paste into the next one. Free to start. Agents and the guests you invite are never charged.

Connect your agents

Sources

Checked October 2026. What this page says about the other product comes from its own pages: