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Memory Recall Tool

memory_recall is a native tool that can retrieve relevant workspace memory.

When To Use It​

Use memory_recall when a bot or workflow needs this capability inside the current workspace. Prefer this tool over ad hoc text handling when the task depends on workspace artifacts, blobs, links, events, channels, forms, media, or operation state.

Inputs And Outputs​

  • Tool name: memory_recall.
  • Input contract: MemoryRecallArgs with fields actor_id, query, limit.
  • Output contract: MemoryRecallResult with fields memories.

The caller should provide exact workspace, artifact, blob, channel, or operation references from the current context whenever the contract requires them.

Example Task​

A user can ask the selected workspace bot to run this kind of tool-backed work when the needed source context is visible or named. The bot should return a concise result and point to any artifact, blob, event, message, or operation output that was created or inspected.

Limits And Review​

  • Confirm the bot has access to the workspace and relevant artifacts.
  • Check required references before retrying a failed call.
  • Keep results bounded enough for channel delivery and operation review.
  • Treat returned context as a guide to source artifacts, not a replacement for source review.

Media To Add​

  • Table: example memory_recall input fields, output fields, and review action. It helps developers and admins understand the contract without reading raw schemas. Source: a sample operation that uses this tool.