Memory Management

Memory Management is an AI Engineering skill for Claude Code, published by ThinkInAIXYZ in deepchat.

6.2K stars716 forkson ThinkInAIXYZ/deepchatAdded 2026/08/15Repository updated 2026/08/15

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Install in seconds

Install Memory Management

Copy Memory Management into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/memory-management ~/.claude/skills/memory-management

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ThinkInAIXYZ/deepchat.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: resources/skills/memory-management/SKILL.md in ThinkInAIXYZ/deepchat
Installs to: ~/.claude/skills/memory-management
Collection: One of 24 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Memory Management does

Memory Management guides an agent to recall prior work, persist durable conclusions, and route reusable procedures or recurring needs into Skills, Scheduled Tasks, or Tape. Use it when a task may produce durable learning or when the user asks to recall, remember, or continue earlier work.

Memory Management is cataloged under AI Engineering on DirSkills. Memory Management comes from a repository tagged agent, agent-skills, ai, ai-assistant and ai-sdk.

Documentation

README

Excerpt

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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Memory Management

What else does ThinkInAIXYZ publish alongside Memory Management?
Memory Management is one of 24 skills that DirSkills catalogs from ThinkInAIXYZ/deepchat, the repository it ships in. Its siblings there include Add Provider, Algorithmic Art and CUA Driver. Each one is a separate skill with its own page in this directory, installs the same way Memory Management does, and is maintained by ThinkInAIXYZ in that same repository. The rest of the collection is listed on the ThinkInAIXYZ/deepchat page.
How does Memory Management compare to other AI Engineering skills?
Memory Management ranks #441 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Memory Management against them. Open each page to compare what they document and how they install.