Claude-Mem Cowork Pairing
thedotmack/claude-mem
Pairs the claude-mem Cowork plugin with a cmem.ai account by writing the sync token, user id and SyncHub URL into the plugin config without exposing the secret.
“Life context and memory system”
$ npx skills add laude-institute/headlong --skill mem -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install laude-institute/headlong mem --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "mem" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/mem into .claude/skills/mem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/laude-institute/headlong/tree/main/skills/memType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add laude-institute/headlong --skill mem -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install laude-institute/headlong mem --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mem .agents/skills/mem && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mem" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/mem into .agents/skills/mem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add laude-institute/headlong --skill mem -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install laude-institute/headlong mem --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mem .cursor/skills/mem && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mem" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/mem into .cursor/skills/mem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/laude-institute/headlong.git --path skills/mem--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add laude-institute/headlong --skill mem -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install laude-institute/headlong mem --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mem .gemini/skills/mem && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mem" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/mem into .gemini/skills/mem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install laude-institute/headlong memInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add laude-institute/headlong --skill mem -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mem .github/skills/mem && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mem" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/mem into .github/skills/mem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add laude-institute/headlong --skill mem -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install laude-institute/headlong mem --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mem .opencode/skills/mem && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mem" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/mem into .opencode/skills/mem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
memMem is a skill in laude-institute/headlong (1.2k stars). Its SKILL.md is about 358 tokens. Licence: Apache-2.0.
Read from SKILL.md and the folder at commit c43e597. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from laude-institute/headlong at commit c43e597, republished under its Apache-2.0 licence (© laude-institute). 210 words, ~358 tokens.
.claude/skills/mem/SKILL.md (or your agent's skills folder).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
Just SKILL.md in skills/mem of laude-institute/headlong.
Open the folder on GitHubat commit c43e597
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mem this skilllaude-institute/headlong | 1.2k | — | ~358 | Automated safety check: Pass | Apache-2.0 | |
| Claude-Mem Cowork Pairingthedotmack/claude-mem | 99k | — | ~659 | Automated safety check: Pass | Apache-2.0 | |
| Claude Mem Installthedotmack/claude-mem | 99k | — | ~261 | Automated safety check: Pass | Apache-2.0 | |
| Claude-Mem Searchthedotmack/claude-mem | 99k | — | ~511 | Automated safety check: Pass | Apache-2.0 | |
| Claude-Mem Searchthedotmack/claude-mem | 99k | — | ~223 | Automated safety check: Pass | Apache-2.0 | |
| Claude-Mem Install for Grok Botthedotmack/claude-mem | 99k | — | ~440 | Automated safety check: Pass | Apache-2.0 |
thedotmack/claude-mem
Pairs the claude-mem Cowork plugin with a cmem.ai account by writing the sync token, user id and SyncHub URL into the plugin config without exposing the secret.
thedotmack/claude-mem
Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.
thedotmack/claude-mem
Searches the user's persistent cross-session memory for timestamped observations synthesized from past agent sessions on cmem.ai.
thedotmack/claude-mem
Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.
thedotmack/claude-mem
Use this when setting up claude-mem on Grok Bot: local worker plus CMEM Pro observer (default), optional host-login observer, or remote cmem.ai. No Cursor…
ThinkInAIXYZ/deepchat
Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis.
laude-institute/headlong
Explains how shellm's bash-based recursive LLM shell fits together - its core engine, identity system, memory, skills and trajectory log.
laude-institute/headlong
Scaffolds new ShellLM skills with the right frontmatter, directory layout and agent-facing writing style, so an agent can extend its own capabilities.
laude-institute/headlong
Looks things up online from the shell with curl: fetching pages, searching DuckDuckGo's HTML endpoint, stripping tags for readable text and pulling JSON APIs.
laude-institute/headlong
Drives Google Drive, Gmail, Calendar, Sheets, Docs and Chat from the shell with the gws CLI, including its sign-in, flags, helper commands and safety rules.
laude-institute/headlong
Read, write, search, and manage notes in an Obsidian vault. An agent skill from laude-institute/headlong.
laude-institute/headlong
Talk with people on Slack — recognize slack- senders and reach them via chat reply
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Mem is instructions for the agent only.
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.
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.
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.
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.
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.
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.