🧠
AI EngineeringTypeScript

Memory CLI

by codeaholicguy

Memory CLI is an AI Engineering skill for Claude Code, published by codeaholicguy in ai-devkit.

1.6K stars242 forkson codeaholicguy/ai-devkitAdded 2026/08/19Repository updated 2026/08/18
agent-frameworkagent-skillsaiai-agentsai-codingantigravityclaude-codeclicodex-clicoding-agentscursor-aideveloper-toolsgemini-climcpmemoryopencodepisoftware-engineeringworkflow-automation
Install in seconds
Install Memory CLI
Copy Memory CLI 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/codeaholicguy/ai-devkit/tree/main/skills/memory ~/.claude/skills/memory

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/codeaholicguy/ai-devkit.git

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

In this catalog

Source file
skills/memory/SKILL.md in codeaholicguy/ai-devkit
Installs to
~/.claude/skills/memory
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Memory CLI does

Memory CLI stores verified, reusable project knowledge for AI coding agents and searches it before non-trivial work. Use it to persist conventions, fixes, and decisions while avoiding secrets and task progress.

Memory CLI is cataloged under AI Engineering on DirSkills. Memory CLI comes from a repository tagged agent-framework, agent-skills, ai, ai-agents and ai-coding.

Documentation

README

AI DevKit Memory CLI

Use npx ai-devkit@latest memory ... as the durable knowledge layer.

Workflow

  1. For implementation, debugging, review, planning, or documentation tasks, search before deep work unless the task is trivial:

    npx ai-devkit@latest memory search --query "<task, subsystem, error, or convention>" --limit 5
    

    For broad or risky tasks, search multiple angles: subsystem, error text, framework, command, and task intent.

  2. Use results as context:

    • Trust repo files, tests, fresh command output, and explicit user instructions over memory.
    • If memory conflicts with verified evidence, use the evidence and update the stale memory.
    • Mention memory only when it changes the plan or avoids asking the user again.

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

Frequently asked about Memory CLI

  • What else does codeaholicguy publish alongside Memory CLI?

    Memory CLI is one of 25 skills that DirSkills catalogs from codeaholicguy/ai-devkit, the repository it ships in. Its siblings there include Agent Communication, Agent Management and Agent Orchestration. Each one is a separate skill with its own page in this directory, installs the same way Memory CLI does, and is maintained by codeaholicguy in that same repository. The rest of the collection is listed on the codeaholicguy/ai-devkit page.

  • How does Memory CLI compare to other AI Engineering skills?

    Memory CLI ranks #961 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 CLI against them. Open each page to compare what they document and how they install.

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