Overview
Workflow memory lets agents store and recall knowledge between runs, building on past context instead of starting from scratch every time.
Common examples:
- Coding conventions discovered during reviews
- Recurring issues seen across multiple PRs
- Decisions made in earlier runs
How it works
Agents automatically have access to workflow memory — no setup or configuration is required. During a run the agent is aware of existing memories and can:
- Read a memory to retrieve its contents
- Create a new memory to save something for future runs
- Update an existing memory to keep it current
Agents decide on their own when storing or reading a memory is useful. Memories are scoped to the workflow — each workflow maintains its own independent set.
Emphasizing memory in prompts
Because memory works automatically, most workflows need no special instructions. If you want to steer what the agent remembers or looks up, add a hint in your agent step prompt.
Example prompt snippets:
Make sure to check your memories for any notes about this repository before starting.
After completing the review, remember any new coding conventions you discovered.
Referencing a specific topic in a prompt — for example “check your memories for the deploy checklist” — gives the agent a precise lookup target.
