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memory-management

Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.

معلومات المصدر

المستودع
ThinkInAIXYZ/deepchat
آخر نشاط في المصدر
٢٣ يونيو ٢٠٢٦ في ١٤:١١
لغة SKILL.md المكتشفة
الإنجليزية
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التفرعات
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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
memory-management
description
Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.
# Memory Management Use this skill when a task may produce durable learning or when the user asks you to recall, remember, continue earlier work, preserve an exact statement, capture a reusable procedure, or handle a recurring need. ## Recall Rely on automatic memory injection for ordinary context. Use `memory_recall` when the user refers to previous work with cues such as again, last time, before, continue, same project, remember, or asks what you already know. Use `tape_search` and then `tape_context` when the user needs source evidence, exact wording, logs, command output, file snippets, or why a prior decision was made. Memory is a durable conclusion layer, not the raw transcript. ## Remember Use `memory_remember` only for durable conclusions that should change future behavior. Choose the most specific category: - `user_preference`: stable user preferences, constraints, communication style, environment choices. - `project_fact`: durable project conventions, architecture entry points, commands, dependencies, paths, or operational constraints. - `task_outcome`: completed, blocked, or deliberately deferred task results. Include status, outcome, and blocker in prose when relevant. - `heuristic`: reusable troubleshooting strategy, workflow, decision rule, or engineering lesson. - `anti_pattern`: repeated mistake, unsafe approach, brittle pattern, stale assumption, or thing to avoid. Do not remember raw tool results, bash output, grep output, file contents, transient mechanics, one-off failures, secrets, credentials, hidden reasoning, or anything only useful for the current turn. ## Verbatim Scope Store exact wording only when the user explicitly asks you to remember a sentence or phrase verbatim. In that case, keep the requested text intact and make the surrounding content minimal. Automatic extraction is different: it should normalize durable facts into concise memory content, deduplicate related entries, and avoid preserving raw transcript text. ## Procedures -> Skill When the useful learning is a reusable multi-step procedure, prefer drafting a skill with `skill_manage` instead of stuffing the full procedure into Memory. Memory may keep a short pointer or heuristic, but the repeatable workflow belongs in a Skill. Use `skill_manage` for draft skills only. Do not modify installed skills unless the user explicitly asks through the supported review flow. ## Recurring -> Scheduled Task When the user asks for a periodic, low-frequency, or future recurring action, suggest creating a Scheduled Task in settings. Memory does not wake the agent, schedule future work, or create automation side effects. ## End-of-task Learning Check Before finishing a non-trivial task, check whether there is one durable lesson to save: 1. Did the user reveal a stable preference or constraint? 2. Did you learn a durable project fact? 3. Is there a task outcome, blocker, or explicit deferral worth preserving? 4. Did a reusable heuristic work? 5. Did an anti-pattern or stale assumption become clear? 6. Is this actually a reusable procedure for `skill_manage` or a recurring need for Scheduled Tasks rather than Memory? Remember only the smallest durable conclusion. Leave raw process in Tape.
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