remember

remember is a skill for Claude Code from M-T-D-N/agentmemory-codex-windows. It costs 52 tokens per session (609 once invoked), scanned A, a copy of remember, Apache-2.0.

A tool for saving insights, decisions, and other project facts in searchable long-term memory. Saved items can include concept tags and related file paths.

In plain words
What is it for?
Use it when someone asks to remember or save something, such as an authentication decision, implementation detail, related concepts, or source files.
Why use it?
It prevents important project knowledge from being lost between sessions and makes it easier to retrieve using specific terms later.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the agentmemory plugin — 17 skills, 2 commands, 12 hooks, 1 MCP server shipped together

Good fit Use it when someone asks to remember or save something, such as an authentication decision, implementation detail, related concepts, or source files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m-t-d-n/agentmemory-codex-windows/remember
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add M-T-D-N/agentmemory-codex-windows --skill remember
Clone the repo
git clone --depth 1 https://github.com/M-T-D-N/agentmemory-codex-windows

Made for: Claude Code.

Or install agentmemory, the plugin that ships this one along with the rest of its 17 skills, 2 commands, 12 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for remember

README.md
[![agentmods](https://agentmods.dev/badge/skills/m-t-d-n/agentmemory-codex-windows/remember/github.svg)](https://agentmods.dev/skills/m-t-d-n/agentmemory-codex-windows/remember)
Your own site
<a href="https://agentmods.dev/skills/m-t-d-n/agentmemory-codex-windows/remember"><img src="https://agentmods.dev/badge/skills/m-t-d-n/agentmemory-codex-windows/remember/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for remember

Your own site · 80×15
<a href="https://agentmods.dev/skills/m-t-d-n/agentmemory-codex-windows/remember"><img src="https://agentmods.dev/badge/skills/m-t-d-n/agentmemory-codex-windows/remember.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 609 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00609
Opus 5.5 $0.00021 $0.00244
Sonnet 5.5 $0.00010 $0.00122
Haiku 4.5 $0.00005 $0.00061

Measured 1mo ago against content hash 8cee6a44eef2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

remember scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

86% identical to remember — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugin/skills/remember/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The user wants to save this to long-term memory: $ARGUMENTS

Quick start

memory_save {
  "project": "my-project",
  "content": "We rotate JWT refresh tokens on every use; the old token is revoked server-side in auth/refresh.ts.",
  "concepts": "jwt-refresh-rotation, token-revocation, auth-flow",
  "files": "src/auth/refresh.ts"
}

Expected output:

Saved memory abc12345 with 3 concepts: jwt-refresh-rotation, token-revocation, auth-flow.

Why

A memory is only as useful as the terms that retrieve it. Tag with specific concepts so a future recall finds it, and preserve the user's own phrasing.

Workflow

  1. Pull the core insight, decision, or fact out of $ARGUMENTS.
  2. Extract 2-5 lowercased concept phrases. Prefer specific over generic (jwt-refresh-rotation beats auth).
  3. Extract referenced file paths (absolute or repo-relative). Empty if none.
  4. Call memory_save with content, concepts (comma-separated string), and files (comma-separated string). In a multi-agent setup pass agentId so the memory lands in the right agent's scope.
  5. Confirm the save and echo the concepts so the user knows the retrieval terms.
  6. To update a fact, save the corrected version outright: near-duplicate content supersedes the old record, which leaves recall but stays in the version chain.

Anti-patterns

WRONG: concepts: "stuff, code, notes" (generic tags nothing can find later).

RIGHT: concepts: "jwt-refresh-rotation, token-revocation" (specific, retrievable).

Checklist

  • Content preserves the user's phrasing, not a paraphrase.
  • Project is the exact registered project, never an inferred sibling path.
  • Concepts are specific, lowercased, 2-5 items.
  • File paths are real references, not guesses.
  • Confirmation echoes the exact concepts tagged.

See also

  • recall: retrieve what you save here (the pair to this skill).
  • forget: remove a memory you saved by mistake.
  • lesson: behavioral rules from corrections; memories are for facts.
  • memory-discipline: when to save unprompted.

Read the full file on GitHub · 69 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 69 lines · 52 tokens per session scan A 8cee6a44eef2

Subscribe to this mod's changes

remember is a skill published in the GitHub repository M-T-D-N/agentmemory-codex-windows (2 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 609 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to remember, differing in 4 lines, and is treated as a copy.

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