Memory for coding agents
Instruction files tell a coding agent how to write code. How to give coding tools a memory of decisions and reasons that lasts across sessions and tools.
Use case
For engineers and technical leads: when a new engineer asks "why didn't we do it that way?", the answer is written down with its date.
We rejected moving to a managed database service: three times the cost. Revisit if we pass 50,000 users.
ClaudeSaved.
Saved to memory · Database decisionA new engineer suggests moving to a managed service. Have we discussed this before?
With Memory BridgeYes. You rejected it because it costs three times as much, and agreed to revisit at 50,000 users. If you have not reached that number, the decision stands.
From memory · Database decisionIllustrative example
| When | The question | What comes back |
|---|---|---|
| When a new engineer joins | "Why did we choose this design?" | The decision, its reasons and its date |
| Six months on | "Which decisions are due for review?" | Decisions with their review conditions |
| During an incident | "Have we hit this problem before?" | What was tried and what worked |
Each product's decisions stay in place.
At the end of the discussion say: "Save this decision, its reason and its review date."
So Cursor or Claude Code reads the decision before suggesting something that contradicts it.
Records in the repository are read by whoever opens them. Memory is read by your tools when needed, and covers what was decided outside the code.
It is built for personal use today. You keep your own decisions and your projects' decisions; team memory is not available yet.
Instruction files tell a coding agent how to write code. How to give coding tools a memory of decisions and reasons that lasts across sessions and tools.
Connect Claude Code to Memory Bridge and it reads from the memory of your work. What you save in Claude Code is there in your other AI tools.
Rules say how you write code. Connect Cursor to Memory Bridge and stop re-explaining your work.
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