How to keep context between Claude and Cursor

To keep context between Claude and Cursor, put your decisions and constraints somewhere both tools can read. Their separate chat histories are not shared automatically. End a design session with a written decision record, then ask Cursor to read it before implementation. A Markdown file in the repo gives you a reviewable record. A memory layer can reduce repeated transfers when both tools are configured to save and retrieve the relevant context.

This post covers the workflow. For the background on why context does not automatically move between products, see Can AI remember across different tools.

Why does the Claude to Cursor handoff lose context?

Claude is built by Anthropic; Cursor is a separate editor with its own workspace and conversation context. A design discussion in the Claude app is not automatically available to Cursor. The editor can use repository files, chat input, and configured integrations, but you need to make the relevant decisions available through one of those paths.

The missing pieces are often the constraints: a latency budget, a library you ruled out, an error-handling convention, or the reason you chose one schema over another. If those details remain only in the Claude thread, Cursor may propose an approach that conflicts with them. Make them explicit and review the implementation against them.

What should the Claude design session produce?

Treat the Claude conversation as a meeting that has to end with minutes. Before you leave it, ask Claude for a short, structured decision record. Not a transcript, a distilled artefact. A good one contains:

• Decisions, what was chosen, in one line each ("Use Postgres with a single denormalised events table").
• Rejected options and why, the alternatives you considered and the reason you dropped them, to avoid re-proposal in the editor.
• Constraints, hard limits the implementation must respect ("endpoint must respond under 200ms", "no new runtime dependencies").
• Conventions, naming, error handling, file layout, test expectations.
• Open questions, anything deliberately deferred, so future you doesn't mistake a gap for a decision.

A useful prompt to end on: "Summarise this session as a decision record with Decisions, Rejected options, Constraints, Conventions, and Open questions. Keep each item to one line. No prose." Keep the record brief enough to scan, then review it for missing or incorrect decisions.

How do you get that record into Cursor?

There are three ways to make that record available:

1. Manual file. Paste the reviewed record into DECISIONS.md at the repo root and commit it. Ask Cursor to read the file before editing; a file being in the repo does not guarantee that every response includes it. Teammates with repository access can review the same record, and it remains available after the chat closes.
2. Explicit editor context. Attach the file or paste the record into the implementation chat, then ask Cursor to read it and apply the constraints to the task. Review the result. In a new session or a long conversation, confirm that the relevant decisions are still available.
3. A shared memory layer. Connect and authenticate Claude and Cursor to the same memory account. Configure the read-and-save workflow, verify that the design exchange is saved, and ask Cursor to retrieve the relevant decisions. Save implementation discoveries too, so a later Claude session can request them.

You can combine a committed DECISIONS.md for the canonical, reviewable record with a memory layer for context from saved conversations. Keep the file current and check that each tool retrieves the right decisions. For more on reducing repeated transfers, see Stop re-explaining your project to AI.

A concrete two-day workflow

Here is an example to try after setting up and testing the connection in each tool.

• Day 1, Claude. You design a webhook ingestion service. You decide on idempotency keys, reject a queue-based approach as overkill for the volume, and set a constraint that retries must be safe to replay. You end the session with the decision record prompt above.
• End of Day 1. Review the record, commit it to DECISIONS.md, and verify that the exchange containing those decisions is saved to the memory account you use in both tools.
• Day 2, Cursor. Ask Cursor to read DECISIONS.md or retrieve the saved decisions before implementing. Check that the context includes idempotency keys, the decision against a queue, and replay-safe retries. Review and test the generated handler against those requirements.
• Day 2, mid-implementation. You find a case where the deduplication logic mishandles duplicate IDs and revise the approach. Update DECISIONS.md and save the exchange explaining the change. In the next Claude session, ask for the updated record before continuing the design.

Record decisions when you make them, update the record when the implementation changes, and read the current version at each handoff. The same process works in either direction.

How does Vilix AI fit into this?

Vilix AI supports this workflow in Claude, Cursor, and other supported clients such as ChatGPT and Codex. Connect and authenticate each tool to your same Vilix AI account, then add the Vilix AI instructions or agent-loop calls. Before each response, call get_context with your latest message and use the returned context to compose the reply. Call save_turn with the exact user message and composed reply, then return that same reply after the save succeeds. Reuse chat_id within the conversation. Verify both calls; registering the connector only makes its tools available. Retrieval returns relevant available context within your plan's limits, rather than the whole archive. Use it alongside DECISIONS.md and Cursor's workspace context. You can inspect, export, and delete saved records; backup removal follows the privacy policy. The Gemini app is not currently a supported custom-MCP client. You can try Vilix AI free to test the handoff in your own work. The Free plan has no time limit, and Pro includes a 7-day trial.

Frequently asked questions

Can Cursor read my Claude conversations directly?

Cursor does not automatically read the conversations in your Claude account. It can use context from its workspace, chat, and configured integrations. To carry a design decision across, provide a file, transfer the relevant text, or use a memory service that both clients can access through their own configured connections.

Isn't a DECISIONS.md file enough on its own?

A maintained DECISIONS.md can be enough for the decisions it contains. Its limits are the need to update it and make sure the client reads it, and the details omitted from the summary. A configured memory layer can provide additional context from successfully saved exchanges, but important answers still need checking against the current record.

Should I just do all the design inside Cursor instead?

You can, and for small changes that can avoid a separate handoff. If you prefer Claude for architecture discussion and Cursor for implementation, this workflow gives you a way to carry selected decisions between them.

Does this work in the Cursor-to-Claude direction too?

Yes. Implementation can reveal facts the original design missed. Update the decision record or save the exchange describing the discovery, then ask Claude to read or retrieve it before the next design discussion. Check that it is using the current version.

What should never go in the decision record?

Keep full transcripts, low-value detours, and details that change every commit out of the concise decision record. Retain useful reasons for rejected options, along with durable decisions, constraints, and conventions. Aim for a record you can review quickly.

Originally published on Vilix AI.