A Shared Notebook for ChatGPT and Claude: AgentTransfer, MCPBinder, Crosswalk, TokenRip, and Vilix AI, Honestly Compared

Quick answer: ChatGPT and Claude do not share memory with each other. Each app keeps its own conversations, and neither can read what you told the other. The fix is a shared notebook: one MCP server that both apps connect to, so anything one app saves there, the other can read. AgentTransfer, MCPBinder, Crosswalk, and TokenRip each build that notebook in a different shape, and Vilix AI builds it as a hosted memory layer. Pick the shape that matches what your shared context actually holds.

Why switching apps costs you the thread

Picture a launch plan that lives half in ChatGPT and half in Claude. You ask ChatGPT to draft the plan and set a budget line. Later you open Claude to refine the messaging, and Claude has no idea the budget changed. You paste the plan over, restate the decision, and hope you did not miss a line. Multiply that by every project, and the re-briefing becomes the work.

A shared notebook ends that loop at the root. Both apps connect to the same MCP server, and the server holds the shared context. The apps become readers and writers. The notebook becomes the memory. When ChatGPT updates the budget line in the notebook, Claude reads the updated line next time it opens the plan. Nothing needs to be pasted twice.

Four questions to ask before you pick one

A shared notebook raises questions that matter more than any feature list. First, can you tell who wrote what, when both apps edit the same plan? Second, does it keep old versions, so an overwrite does not destroy the earlier version? Third, what happens before something leaves, if either app can send an email or publish through another tool? Fourth, can you cut one app off without breaking the other? Judge every option below against those four questions, and the right choice usually picks itself.

AgentTransfer: the shared drive

AgentTransfer is a shared drive for ChatGPT, Claude, and other AI apps. Its free plan has a 10 GB drive and accepts files up to 5 GB. The model is simple: files live in one place, and every connected app reads the same files.

That simplicity is the strength. If your shared context is mostly documents, a drive is a shape you already understand, and there is nothing new to learn. The limit to watch is the record around the files. A drive holds files, not a history of who changed which line or why. If you need attribution and version history, you have to build that discipline on top of the files, with naming rules and careful overwrites.

MCPBinder: projects, tasks, and files

MCPBinder gives you projects, tasks, and files, with per-project limits on what each connected agent can do. You get one workspace free, and paid workspaces are $5 (Pro) or $15 (Team) monthly.

The strength here is structure. Work is organized into projects, and each agent's permissions are bounded per project, which answers the "who can do what" question directly. A coding agent can be limited to one project while a writing assistant works in another, and neither wanders into the other's work. The limit to watch is project hygiene. Structure only helps while the projects stay tidy. A workspace with ten half-used projects becomes a mess in every tool at once, not just in one.

Crosswalk: the common feed

Crosswalk gives your agents a common feed, inbox, task list, files, calendar, and notes, all over MCP. The model is a shared workspace feed: everything the agents do flows through one feed that every app can see.

The strength is breadth. One feed covers tasks, files, calendar, and notes instead of splitting them across tools, and a task assigned to one agent shows up when that agent next checks in. The limit to watch is retrieval. A feed is a stream, and streams bury things. If you need to find one decision from three weeks ago, the feed needs good search to stay useful, and the feed itself becomes one more inbox to check.

TokenRip: a workspace with a record

TokenRip takes the checklist from the four questions and builds around it: attribution on every change, old versions kept, an approval step before anything leaves the workspace, and the ability to revoke one app's connection without breaking the other.

That checklist is the right standard for any shared notebook, and it is worth holding every other option to it. The limit to watch is track record. TokenRip is a young project, and a checklist reads well on paper in a way daily use does not always match. Judge it on whether the record-keeping holds up across weeks of real edits, not on how complete the checklist looks on day one.

Vilix AI: the hosted memory layer

Vilix AI is a cloud-hosted memory layer, so you manage no infrastructure, and the same memory follows you across tools over MCP. It stores full conversation history, not just extracted facts, so the real conversation can be revisited anytime, alongside projects, tasks, and rules. Retrieval is semantic as well as keyword-based, so an agent finds relevant context even when the wording differs from the original note.

The strength is completeness. When the question is "what did we actually decide, and what was said around it," a full history answers it in a way a file, a task list, or a feed does not. A decision keeps its reasoning attached to it, and a later agent can see why a choice was made instead of only seeing the final line. Your data stays portable: export everything or delete it anytime. The free plan is free forever, and a 7-day Pro trial needs no credit card.

How to choose

Pick AgentTransfer if your shared context is files and you want the simplest shape. Pick MCPBinder if you want projects and per-agent limits. Pick Crosswalk if you want one feed covering tasks, files, calendar, and notes. Pick TokenRip if the attribution-and-versions checklist is your top priority and you are comfortable with a young project. Pick Vilix AI if you need the full conversation history, plus projects, tasks, and rules, in one hosted layer that every tool reads over MCP.

Whatever you pick, run it against the four questions first: who wrote what, what did it replace, what leaves without approval, and how fast can you cut one app off. A shared notebook only helps if you can trust what is in it. Set it up once, connect both apps to the same server, and stop paying the re-briefing tax on every switch.