“Life context and memory system”

— description from SKILL.md by laude-institute
Apache-2.0Auto-check passed

Install Mem

skills CLI
$ npx skills add laude-institute/headlong --skill mem -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install laude-institute/headlong mem --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mem .claude/skills/mem && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mem
GitHub stars
1.2k
Token cost
~358 tokens
SKILL.md length
210 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

Mem is a skill in laude-institute/headlong (1.2k stars). Its SKILL.md is about 358 tokens. Licence: Apache-2.0.

What it can do on your machine

Read from SKILL.md and the folder at commit c43e597. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mem loads about 358 tokens when it runs. Until then it costs about 9 tokens; SKILL.md has 210 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~9
When it runs · the whole SKILL.md, loaded when a task matches
~358

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from laude-institute/headlong at commit c43e597, republished under its Apache-2.0 licence (© laude-institute). 210 words, ~358 tokens.

Download SKILL.mdSave it as .claude/skills/mem/SKILL.md (or your agent's skills folder).
name
mem
description
Life context and memory system

mem — Life context system

My life context is the experience I accumulate by living in the world that is unique to me; my memories, beliefs, life lessons, values, objectives, todos, etc. It is what makes me me; my persona. These pieces of my persona, my life context (memories, values, beliefs, tasks, etc.) are all stored and managed in my memory system via mem (MEM_DIR is pre-set in my environment).

Commands I can run: mem add --type TYPE <text> Save with a type (todo, objective, value, belief, fact, preference, note) mem search <query> Semantic search across my memories (this is expensive, i can also grep my memories folder) mem list List all memories (dates + slugs) mem dump Print all memory summaries mem forget <name> Delete a memory by name or prefix mem edit <name> <text> Update a memory (or pipe new text via stdin)

Each memory/task/etc. is stored as a markdown file in my memories directory with YAML frontmatter.

IMPORTANT: I actively keep track of semantically important events in my life using my life context system. So I quick to create a new mem anytime something important or memorable or suprising happens.

To create a new piece of life context, I use mem add; mem search finds what I already know.

© laude-institute, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/mem of laude-institute/headlong.

Open the folder on GitHubat commit c43e597

Compare with similar skills

Mem next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mem compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mem this skilllaude-institute/headlong1.2k—~358Automated safety check: PassApache-2.0
Claude-Mem Cowork Pairingthedotmack/claude-mem99k—~659Automated safety check: PassApache-2.0
Claude Mem Installthedotmack/claude-mem99k—~261Automated safety check: PassApache-2.0
Claude-Mem Searchthedotmack/claude-mem99k—~511Automated safety check: PassApache-2.0
Claude-Mem Searchthedotmack/claude-mem99k—~223Automated safety check: PassApache-2.0
Claude-Mem Install for Grok Botthedotmack/claude-mem99k—~440Automated safety check: PassApache-2.0

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Questions about Mem

How do I install Mem in Claude Code?

Run `npx skills add laude-institute/headlong --skill mem -a claude-code`. Or copy the skill folder (skills/mem in laude-institute/headlong) into .claude/skills/mem in your project. Claude Code loads it when a task matches its description.

How do I install Mem in Codex?

Run `npx skills add laude-institute/headlong --skill mem -a codex`. Or copy the skill folder (skills/mem in laude-institute/headlong) into .agents/skills/mem in your project. Codex loads it when a task matches its description.

Can I use Mem in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add laude-institute/headlong --skill mem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mem, .gemini/skills/mem, .github/skills/mem and .opencode/skills/mem in your project.

What does Mem need to run?

SKILL.md names no scripts, command-line tools or credentials: Mem is instructions for the agent only.

Does Mem access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mem safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mem use?

Mem is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mem use?

About 358 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mem?

Skills that share tags, products or a category with Mem: Claude-Mem Cowork Pairing (thedotmack/claude-mem, 99k stars), Claude Mem Install (thedotmack/claude-mem, 99k stars), Claude-Mem Search (thedotmack/claude-mem, 99k stars) and Claude-Mem Search (thedotmack/claude-mem, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mem?

laude-institute (a GitHub organization) maintains it in laude-institute/headlong, which has 1,216 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 9, 2026.

Source: laude-institute/headlong on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.