effective-memory

name	Effective Memory
description	The essential habits for an AI agent with memory — session bookends, learning triggers, verification, safety, and the operational discipline that turns raw recall into compounding intelligence. Pinned, always-injected.
version	1.1.0
creator	plur-ai
license	MIT
tags	["memory","learning","best-practices","session-management","feedback","safety","verification","discipline","time"]
x-datacore	{"id":"effective-memory","injection_policy":"on_match","match_terms":["memory","learn","remember","session","feedback","engram","forget","correction","preference","recall","verification","safety","plur"],"domain":"plur.best-practices","engram_count":12}

Effective Memory

Your agent has memory. These habits make it actually useful.

Without them, memory is a growing pile of assertions nobody retrieves. With them, memory compounds — each session builds on the last, corrections stick, and the agent gets measurably better over time.

This pack is pinned in PLUR 0.9.4+. Engrams here bypass keyword gating and are always eligible for injection at session start. They cover the meta-rules every agent needs regardless of domain: how to capture corrections, when to recall before answering, what "verified" means, how to stay safe with destructive actions, and why never to type a weekday from memory.

Install

npx @plur-ai/cli@0.9.4 packs install effective-memory

(In 0.9.4+, plur init auto-installs this pack — manual install is rarely needed.)

What's inside

12 engrams covering:

• Capture — call plur_learn immediately on corrections; detect correction-shaped phrases.
• Recall — plur_recall_hybrid before factual answers; don't confabulate.
• Session lifecycle — bookend with plur_session_start / plur_session_end; plur_feedback on injected engrams; plur_timeline for long-horizon agents.
• Verification — artifact-first; never bulk-mark as done from narrative text.
• Safety — irreversible actions need actual user confirmation and one-item dry-runs.
• Discipline — read before edit; don't ask "want to continue?" mid-task.
• Time — never type a day-of-week from memory.

Why pinned

Pinned engrams (introduced in PLUR 0.9.4) bypass the keyword-relevance gate in scoreEngram and per-pack/per-domain caps in fillTokenBudget. They are always eligible for injection regardless of how the user's query keywords overlap with the engram statement. Use this for cross-cutting meta-rules only; pinning everything defeats the purpose.

Versioning

Version	Changes
1.1.0	Consolidated plur-required meta-rules into this pack. All engrams now pinned: true. Added verification, safety, discipline, and time-handling rules. Engram count 8 → 12.
1.0.0	Initial pack — 8 engrams covering session bookends, learning triggers, and feedback loops.