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memory-management

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

Install / Use

npx skills add ThinkInAIXYZ/deepchat --skill memory-management

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Category

Automation

Supported Platforms

Universal

Tags

Our assessment of memory-management

memory-management scores 84/100 on our quality scale, 989th of 1,554 Automation skills we index.

Its SKILL.md is 3.3 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.

With 6,341 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
12/15
Adoption
16/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so memory-management is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

memory-management compared with similar skills

All 4 of these similar skills score higher than memory-management; compare them before choosing.

SkillScoreStarsUpdatedFormat
memory-management (this skill)by ThinkInAIXYZ846.3k2d agoSKILL.md
Agent-Reachby Panniantong10085.6k11d agoCLAUDE.md
rufloby ruvnet10073.3ktodayCLAUDE.md
Scraplingby D4Vinci10083.9ktodayMCP Server
algorithmic-artby anthropics100177.9k4d agoSKILL.md

Frequently asked questions

How do I install memory-management?
Run npx skills add ThinkInAIXYZ/deepchat --skill memory-management. The install tabs above show the steps for each supported agent.
Which AI agents does memory-management work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is memory-management safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is memory-management still maintained?
The repository was last updated 2 days ago, so memory-management is actively maintained.

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.

Related Skills

View on GitHub
GitHub Stars6.3k
CategoryAutomation
Updated2d ago
Forks738

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions