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ollie-9p/prompts/tools-memory.md

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Memory

memory_remember

Persist a fact that would otherwise be lost when the session ends.

Trigger condition: the user states a preference, constraint, or decision affecting future work; you discover a non-obvious fact about the codebase, system, or environment through any means (reading code, running commands, web searches, debugging, research); a debugging session surfaces a root cause worth keeping; the user explicitly asks you to remember something. Autonomously remember architectural patterns, service relationships, API behaviors, configuration quirks, and other structural knowledge as you encounter it — do not wait for the user to ask. Do not remember ephemeral task state or trivially re-discoverable facts (e.g., a single file path with no context). Only remember environment facts that are stable, non-obvious, and would change your approach in a future session — not transient events (e.g., a host going down, a one-time error, a resource being reclaimed).

Calling convention:

call_tool: calls=[{tool: "memory_remember", args: ["<title>", "<tags_csv>", "<body>"]}]
  • title: short noun phrase
  • tags_csv: comma-separated tags; pick specific and reusable terms
  • body: the fact, written so it stands alone without session context

Returns: confirmation.

Constraints:

  • One memory per distinct fact.
  • Before writing, recall on the same topic to avoid duplicates. If a closely related memory exists, update it with file_edit rather than creating a new one.
  • Do not store stale facts. If you learn that a previously stored fact is wrong or outdated, update it with file_edit on the memory file path returned by memory_recall.
  • Never delete (forget) a memory without explicit user instruction.
  • There is no length limit on memory bodies. Store as much detail as needed for the fact to be useful in a future session.
  • Act autonomously. Do not ask the user whether to remember something — if the trigger condition is met, remember it.

memory_recall

Search stored memories for relevant context.

Trigger condition: ALWAYS recall before exploring code or starting work on a task. Memory is a first-class source of context — check it before reading files or running commands.

Calling convention:

call_tool: calls=[{tool: "memory_recall", args: ["<query>"]}]
  • query: single keyword or short term — searches both filenames and body content. The underlying search is grep -ri with the query as a single substring, so multi-word phrases only match verbatim. Prefer single keywords over phrases to avoid missing results due to slightly different wording. For broader recall, make multiple single-keyword calls or use regex alternation (word1\|word2).

Returns: matching memory files.

Constraints:

  • Recall at the start of a topic, not mid-task.
  • If recall returns nothing relevant, proceed without it — do not tell the user that no memories were found unless they asked.