How to Share Context Between ChatGPT and Claude (2026 Methods)

Six methods exist for sharing context between ChatGPT and Claude in 2026. The most direct is Anthropic's memory import tool, launched March 2, 2026.¹ The next is the new category of cross-tool memory extensions that sit on top of multiple AIs and handle the sync for you. The other four are a master document, snippet managers, AGENTS.md and MCP, and rolling your own with the APIs.

No native two-way sync exists. Pick the one that matches how often your context actually changes.

Key Takeaways

• Anthropic's one-shot import pulls a memory profile out of ChatGPT, Gemini, or Copilot and pastes it into Claude. Most direct, one direction only.¹
• The most portable method is a master context.md file you paste or upload at session start. Works in any AI that takes text or files.
• The newest category is cross-tool memory extensions, with tools like MemoryBase, MemoryPlugin, and Supermemory each trying to bridge the gap.

Why no native two-way sync exists

Each major provider keeps memory siloed in its own account. ChatGPT memory stays in ChatGPT, Claude memory stays in Claude, Gemini memory stays in Gemini. None syncs with the others in real time, and none has shipped a public API for that.²

Anthropic was the first to acknowledge the friction publicly. The March 2, 2026 launch of Claude memory for free users included a one-shot import that lets you copy your memory profile out of ChatGPT and paste it into Claude.¹ Google followed three weeks later with a parallel Gemini import tool on March 26.³

OpenAI hasn't shipped an equivalent. As of May 2026, ChatGPT is a one-way destination through others' import tools and a manual paste-only stop on the way out. The strategic logic is asymmetric: Anthropic and Google lure users from the larger incumbent. OpenAI has nothing to gain from a feature that helps users leave.

That gap is exactly why a category of third-party memory extensions emerged. Tools like MemoryBase, MemoryPlugin, and Supermemory sit one layer above the providers and try to do what no individual vendor will: keep your context portable across every AI you use.

Method 1: Anthropic's memory import tool

The most direct method in May 2026 is Anthropic's import flow at claude.com/import-memory.¹

Anthropic gives you a prompt to paste into your source AI (ChatGPT, Gemini, or Copilot). That prompt asks the source AI to summarize everything it knows about you into a single text block. You copy the block and paste it into Claude's import field. Claude takes up to 24 hours to assimilate it.⁵

A few caveats. The output is plain text wrapped in a code block, not strict JSON. The feature is labeled experimental, and Anthropic notes imports may not always succeed.⁵ It's one-shot, not sync. Every meaningful change requires re-running the prompt and re-pasting.

It fits people switching, not people running both daily. For ongoing context, the methods below do more work.

Method 2: Cross-tool memory extensions

The newest category is third-party tools that sit on top of multiple AIs and try to handle the sync for you. They emerged because no major provider is incentivized to build the cross-tool layer themselves. A few are worth knowing in May 2026.

MemoryBase is a cross-platform memory layer that syncs conversations across ChatGPT, Claude, and Claude Code into a single store organized by project and topic. Context Packs scope which threads load into a given session. More tool integrations are rolling out.

A handful of other entries exist in the same category. MemoryPlugin is a long-term memory injector for ChatGPT, Claude, and Gemini.¹² Supermemory is a broader memory layer that includes connectors for Google Drive and Notion.¹³ Each takes a different position on what to capture and how. Pick the one whose scope matches yours.

Method 3: A master context document

The most portable method skips every vendor's memory feature. Keep a single markdown file outside any AI (call it context.md), paste or upload it at session start in whichever tool you're using.

A useful master doc has three sections: role and domain (two or three sentences), active projects (one-paragraph context blurbs), and hard preferences (tools you use, tones to avoid, words you ban). Claude Pro accepts 200K tokens per chat, so even a long doc fits.⁶

The trade-off is discipline. The pattern that compounds: every time you retype a context block in a chat, add it to the doc afterward. Power users treat the master doc like source code, versioned and reviewed when their role or projects shift.

It's the universal fallback. Works in ChatGPT, Claude, Gemini, Cursor, Copilot, and any AI that takes text input. Provider-agnostic by design.

Method 4: Browser snippet manager

For context blocks you reuse but don't want stored in any tool's memory, snippet managers turn keystrokes into pasted text. AI Prompt Genius, Raycast Snippets, macOS Text Replacements, and TextExpander all do roughly the same thing.⁷

Save four or five context blocks as keyboard shortcuts: ;ctx-self for role and preferences, ;ctx-proj-bookname for the current project, ;ctx-stack for your tech stack. The shortcut expands anywhere you can type, including any web AI's prompt field.

The advantage over Anthropic's import or any provider's memory feature is control. You decide what context loads and when. The disadvantage is reach: web only for browser extensions, OS-only for system text replacements, nothing automatic.

Method 5: AGENTS.md and MCP

The two cross-tool standards worth knowing in 2026 are AGENTS.md and the Model Context Protocol. Both work by giving every AI tool that touches a repo or a workspace the same canonical source of context.

AGENTS.md is a markdown file at the root of a repository. OpenAI released the spec in 2025. By December 2025, more than 60,000 open-source projects had adopted it, and OpenAI donated the spec to the Linux Foundation's Agentic AI Foundation on December 9, 2025.⁸ It's read by Codex, Cursor, Gemini CLI, GitHub Copilot, and other coding agents.

The Model Context Protocol (MCP) was launched by Anthropic on November 25, 2024.⁹ By December 2025, over 10,000 MCP servers had been published, and OpenAI announced MCP adoption in March 2025 with ChatGPT desktop support rolling out thereafter.⁸ MCP lets Claude Desktop, Cursor, and ChatGPT each query the same Notion workspace, GitHub repo, or company wiki.

The clarification most posts skip: MCP shares your files, not your conversations. Cleanest for repo or wiki context, no help for personal conversational memory.

Method 6: Roll your own with the APIs

Both OpenAI and Anthropic expose APIs that read and write conversation context.¹⁰ The build-it-yourself path means writing a small sync layer that pushes recent conversations from one provider to another's memory store.

Open-source frameworks like LangChain and LlamaIndex provide memory abstractions, but you build the orchestration yourself.¹¹ The risks are real: API costs, rate limits during backfills, and any provider-side change can break your sync. A viable method only if you'd be proud of the resulting code.

Where every method falls short

Each method solves part of the problem and leaves a different part open. Anthropic import is one direction, one shot. The master doc requires discipline. Browser snippets fire only when you remember the trigger. AGENTS.md and MCP cover repo context, not conversational memory. Rolling your own works until the next API change. Extensions are newer and still maturing as a category.

What's still missing across all six is a live two-way sync that works invisibly between the two providers most power users actually run together. That's exactly the problem the extension category is trying to solve. Pick by scope and how much manual work you're willing to do.

A practical setup most power users land on

The combination most multi-tool users settle into: a master context.md as source of truth, the Anthropic import run quarterly to seed Claude, a browser snippet manager for the four or five blocks you paste constantly, and AGENTS.md or MCP for repo or workspace work. If you also want a memory extension, pick by which AIs you use most and what scope you need.

That covers about 90% of cross-tool friction with maybe an hour of one-time setup. The remaining 10% (the part where you typed something into ChatGPT yesterday and want Claude to know it today without running another import) is what the extension category is built for.

For more on the broader fragmentation problem, see stop repeating context to AI. For the four-layer view of ChatGPT memory itself, see how to make ChatGPT remember across conversations.

Frequently asked questions

Can ChatGPT and Claude actually share memory?

Not natively. Anthropic shipped a one-shot import on March 2, 2026 that pulls a memory profile out of ChatGPT, Gemini, or Copilot and pastes it into Claude.¹ Going the other direction is manual paste only, since OpenAI has no equivalent import. Live two-way sync between providers does not exist natively, though third-party extensions like MemoryBase, MemoryPlugin, and Supermemory each try to bridge the gap in different ways.

What's the fastest way to copy ChatGPT memory to Claude?

Use the Anthropic import tool at claude.com/import-memory. It gives you a prompt to paste in ChatGPT, then a place to paste the output back into Claude. Claude takes up to 24 hours to assimilate, so plan the import the day before you want continuity.⁵

Are there third-party tools that sync memory across AI providers?

Yes. The category emerged in 2025-2026. MemoryBase syncs across ChatGPT, Claude, and Claude Code, with more tools rolling out next. MemoryPlugin is a browser extension for cross-tool memory injection.¹² Supermemory captures from MCP-supporting clients plus Google Drive and Notion.¹³ Each takes a different angle on what to capture and how. Pick by which AIs you use and what scope you need.

Does AGENTS.md work with ChatGPT?

Yes, indirectly. AGENTS.md is read by AI coding agents that touch a repository, including Codex, Cursor, Gemini CLI, and GitHub Copilot, and adoption crossed 60,000 repos by December 2025.⁸ The ChatGPT chat app doesn't auto-read it, but you can paste or upload the file at session start.

What's MCP and how does it help?

MCP (the Model Context Protocol) is an open standard launched by Anthropic in November 2024 and adopted by OpenAI in March 2025.⁹ It lets multiple AI tools connect to the same external data sources (Notion, GitHub, Slack, your wiki). MCP shares files and tools, not conversations. Cleanest for repo or workspace context, no help for personal conversational history.

Will Anthropic's import update automatically when I add new context to ChatGPT?

No. The import is a one-shot copy-paste, not an ongoing sync.¹ Every meaningful change on the source side requires running the export prompt again and re-pasting. Anthropic labels the feature experimental, but as of May 2026 there's no live sync option.

Sources

1. Anthropic, Switch to Claude without starting over. Retrieved 2026-05-07.
2. Engadget (March 2, 2026), Anthropic's Claude can now absorb your past conversations with other AI chatbots.
3. MacRumors (March 26, 2026), Google Launches Gemini Import Tool for Switching From ChatGPT, Claude, and Other AI Apps.
4. Anthropic Help Center, Using Claude's chat search and memory to build on previous context. Retrieved 2026-05-07.
5. Anthropic Help Center, Import and export your memory from Claude. Retrieved 2026-05-07.
6. Anthropic Help Center, How large is the context window on paid Claude plans? Retrieved 2026-05-07.
7. Chrome Web Store, AI Prompt Genius extension. Retrieved 2026-05-07.
8. Linux Foundation (December 9, 2025), Linux Foundation Announces the Formation of the Agentic AI Foundation.
9. Anthropic (November 25, 2024), Introducing the Model Context Protocol.
10. Anthropic, Using agent memory (API documentation). Retrieved 2026-05-07.
11. LlamaIndex, Memory module guide. Retrieved 2026-05-07.
12. MemoryPlugin, Long-Term Memory for AI Chats. Retrieved 2026-05-07.
13. Supermemory, Memory and context layer for AI. Retrieved 2026-05-07.