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-managementInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| memory-management (this skill)by ThinkInAIXYZ | 84 | 6.3k | 2d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.6k | 11d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.3k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 83.9k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.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.
Skill content
View source on GitHubname: 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:
- Did the user reveal a stable preference or constraint?
- Did you learn a durable project fact?
- Is there a task outcome, blocker, or explicit deferral worth preserving?
- Did a reusable heuristic work?
- Did an anti-pattern or stale assumption become clear?
- Is this actually a reusable procedure for
skill_manageor a recurring need for Scheduled Tasks rather than Memory?
Remember only the smallest durable conclusion. Leave raw process in Tape.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
