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Agent skill

Memory

by yc-software in yc-software/qm

Deliberately search, add to, or curate your long-term memory with the memory tool — beyond the automatic recall/capture every turn already does.

MITAuto-check passedAgent Workflows

Install Memory

skills CLI
$ npx skills add yc-software/qm --skill memory -a claude-code

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

GitHub CLI
$ gh skill install yc-software/qm memory --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/yc-software/qm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-seed/memory .claude/skills/memory && 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
memory
GitHub stars
15k
Token cost
~1.2k tokens
SKILL.md length
605 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Deliberately search, add to, or curate your long-term memory with the memory tool — beyond the automatic recall/capture every turn already does.

  • Asked who someone is
  • SKILL.md covers Save context into another room…, Org-wide notebook (admins) and Failure modes
  • Calls curl; needs AGENT_API_TOKEN
  • What theyre working on

What it does

Memory is an agent skill from yc-software/qm. Deliberately search, add to, or curate your long-term memory with the memory tool — beyond the automatic recall/capture every turn already does. Use when asked who someone is or what they're working on, when you learn a durable fact worth keeping now, or when your notebook holds stale or wrong entries you should clean up.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Agent memory. The repository describes itself as: Multiplayer agent harness for work. The licence is MIT.

When your agent uses it

  • Asked who someone is
  • What theyre working on
  • You learn a durable fact worth keeping now
  • Your notebook holds stale

Example prompts

  • “/memory”

Requirements

  • A credential in AGENT_API_TOKEN

What it can do on your machine

Read from SKILL.md and the folder at commit 23af31b. 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

    Shell commands in SKILL.md call:

    • curl

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

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AGENT_API_TOKEN

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

Context cost

Memory loads about 1.2k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 605 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 yc-software/qm at commit 23af31b, republished under its MIT licence (© yc-software). 605 words, ~1,165 tokens.

Download SKILL.mdSave it as .claude/skills/memory/SKILL.md (or your agent's skills folder).
name
memory
description
Deliberately search, add to, or curate your long-term memory with the `memory` tool — beyond the automatic recall/capture every turn already does. Use when asked who someone is or what they're working on, when you learn a durable fact worth keeping now, or when your notebook holds stale or wrong entries you should clean up.

memory — search, write, and curate what you remember

Everything here goes through the typed memory tool. Memory is NOT a file: writing memory/MEMORY.md with files action write or shell commands lands on your computer's disk and is silently lost — the tool is the one real path.

Every turn already auto-recalls your notebooks into "## What you remember" and auto-extracts facts after you reply. This skill is for what the automatic path misses:

  • Search (action: "search") — what you remember is bigger than what auto-recall injects. Search spans every notebook this conversation may read (personal, channel, org); when more than one is in reach, each hit is tagged with the notebook it came from. Matching is substring-based (all terms must match), so prefer distinctive terms (a name, a project) over sentences. An empty result is a real answer: you have nothing recorded, so don't assert a memory.
  • Write now (action: "remember") — when the user corrects you or tells you something they'll expect you to know later, persist it immediately instead of hoping post-turn extraction catches it. Write self-contained facts (who/what, with enough context to be useful cold). Duplicates are dropped; added in the reply is the count actually new.
  • Curate (action: "read", then action: "rewrite") — read your whole notebook and rewrite it without stale, duplicate, or wrong lines. A rewrite replaces the entire notebook: read first, then write back the full corrected content, never a fragment. Curation is for quality — merging duplicates, deleting disproven facts — not for deleting things the user asked you to remember.

The notebook you write is this conversation's own (your personal one in a DM, the channel's in a channel). There is no way to reach anyone else's, by design.

Two targeted writes the tool doesn't carry go through the self-API instead, called with $AGENT_API_URL and $AGENT_API_TOKEN (both already in your environment on every turn — if they are unset, this instance has no self-API; say so rather than pretending):

Show full SKILL.md (285 more words)Show less

Save context into another room the user belongs to

When someone asks you (say, in a DM) to remember something for a channel or group DM — the way Bob, in a DM, might want the background on a project saved into that project's channel so you know it when paged there — add a target to a facts call:

bash
curl -fsS -X POST "$AGENT_API_URL/v1/memory/facts" \
  -H "x-agent-capability: $AGENT_API_TOKEN" \
  -H "content-type: application/json" \
  -d '{"channel":"project-atlas","facts":["This channel coordinates ..."]}'

Name a channel (core resolves the name — an ambiguous one comes back 409 with candidates), or a group DM by its participants (the other members' ids). Core checks the person you're helping may post there before writing: any internal teammate may write to a public channel; a private channel or group DM requires they're a member (403 otherwise). This appends only — you can't read or wholesale-rewrite another room's notebook this way. The reply echoes the resolved channel/group and the scopeId written to.

Org-wide notebook (admins)

When the chatting user is an org admin, the self-API additionally accepts the org-wide notebook as a target:

bash
curl -fsS -X POST "$AGENT_API_URL/v1/memory/facts" \
  -H "x-agent-capability: $AGENT_API_TOKEN" \
  -H "content-type: application/json" \
  -d '{"scope":"org","facts":["..."]}'

(?scope=org on GET /v1/memory/self, "scope":"org" on the PUT body to curate.) Those writes land in the notebook every conversation in the org recalls, so confirm the wording with the admin before writing and keep personal facts out of it. A 403 org memory writes require an org admin means the user isn't one — say so rather than retrying (GET $AGENT_API_URL/v1/admin/whoami answers it definitively).

Failure modes

  • "memory isn't available in this conversation" — this conversation's memory policy forbids it; don't retry, just say memory is off here.
  • On a read-only wake (a heartbeat glance), memory can be searched and read but not written — save the fact on a normal turn instead.
  • 401 unauthorized from the self-API — your token expired mid-turn; this resolves on the next turn.

© yc-software, MIT. 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-seed/memory of yc-software/qm.

Open the folder on GitHubat commit 23af31b

Compare with similar skills

Memory 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.

Memory compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory this skillyc-software/qm15k—~1.2kAutomated safety check: PassMIT
Project Timeline Reportthedotmack/claude-mem97k1 repos~3.1kAutomated safety check: PassApache-2.0
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
Reflect on Session Learningscursor/plugins10k5 repos~1.2kAutomated safety check: PassNone

Similar skills

  • Project Timeline Report

    thedotmack/claude-mem

    Writes a narrative Journey Into report on a project's whole development history, built from the timeline that claude-mem has recorded.

    97k GitHub starsUsed in 1 repo~3.1k tokens
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  • Neat-Freak Knowledge Closeout

    KKKKhazix/khazix-skills

    Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.

    21k GitHub stars~1.9k tokensUpdated 6 days ago
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  • Beads Task Memory

    gastownhall/beads

    Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.

    28k GitHub stars~1.2k tokensUpdated today
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  • MemPalace Memory Search

    MemPalace/mempalace

    Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.

    59k GitHub stars~1.4k tokensUpdated today
    Agent WorkflowsAuto-check passed

  • Reflect on Session Learnings

    cursor/plugins

    Official

    Starts three parallel reviewer subagents over the current conversation transcript, then turns their findings into concrete edits to existing skills.

    10k GitHub starsUsed in 5 repos~1.2k tokens
    Agent WorkflowsAuto-check passed

  • Compound Learning Writer

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    Records one solved and verified problem as a durable learning in the repository, but only when the reasoning is not already clear from the final code, tests or docs.

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More from yc-software/qm

All 29 skills in this repo

  • Admin

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    Act for an org admin — the admin API (scope directory, per-scope config & SOUL, any scope's memory, transcripts & captured prompts, files, user roster & external users, audit/errors/metrics/egress)…

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  • Browse

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  • Composio

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    Show the app connection picker or setup widget when users ask to connect apps, reopen setup, or need an app that isn't connected yet.

    15k GitHub stars~1.6k tokensUpdated today
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  • Dev Instance

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    Run the current worktree as a production-shaped local dev instance with web, Slack, or both, on a real LLM + Postgres.

    15k GitHub stars~3.7k tokensUpdated today
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  • GitHub GitLab

    yc-software/qm

    Work with GitHub and GitLab repositories through resident gh/glab/git auth on the agent computer.

    15k GitHub stars~1.6k tokensUpdated today
    Auto-check passed

  • Google Workspace

    yc-software/qm

    Read and act on the user's Gmail, Google Calendar, and Google Tasks through per-user OAuth.

    15k GitHub stars~1.8k tokensUpdated today
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Categories

Questions about Memory

What does Memory do?

Deliberately search, add to, or curate your long-term memory with the memory tool — beyond the automatic recall/capture every turn already does. Memory is an agent skill from yc-software/qm. Deliberately search, add to, or curate your long-term memory with the memory tool — beyond the automatic recall/capture every turn already does.

When should I use Memory?

Memory fits situations like: asked who someone is; what theyre working on; you learn a durable fact worth keeping now; your notebook holds stale.

How do I install Memory in Claude Code?

Run `npx skills add yc-software/qm --skill memory -a claude-code`. Or copy the skill folder (skills-seed/memory in yc-software/qm) into .claude/skills/memory in your project. Claude Code loads it when a task matches its description.

How do I install Memory in Codex?

Run `npx skills add yc-software/qm --skill memory -a codex`. Or copy the skill folder (skills-seed/memory in yc-software/qm) into .agents/skills/memory in your project. Codex loads it when a task matches its description.

Can I use Memory 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 yc-software/qm --skill memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory, .gemini/skills/memory, .github/skills/memory and .opencode/skills/memory in your project.

What does Memory need to run?

Going by SKILL.md and its folder, Memory needs the command-line tools its instructions call (curl) and credentials named AGENT_API_TOKEN. Our summary lists: A credential in AGENT_API_TOKEN.

Does Memory access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Memory 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 Memory use?

Memory is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Memory?

Skills that share tags, products or a category with Memory: Project Timeline Report (thedotmack/claude-mem, 97k stars), Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory?

yc-software (a GitHub organization) maintains it in yc-software/qm, which has 15,357 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 6, 2026.

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