using-agent-memory

using-agent-memory is a skill for Claude Code from wiolett-industries/marketplace. It costs 64 tokens per session (1,544 once invoked), scanned A, original, MIT.

Instructions for using Agent Memory, a separate system that stores reusable project facts and workflows between conversations.

In plain words
What is it for?
Use it at conversation start, after losing context, or before substantial repository work involving past decisions, conventions, or setup.
Why use it?
It helps the agent decide when saved knowledge is relevant and avoids unnecessary or uncontrolled memory changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex.

Part of the agent-memory plugin — 2 skills, 1 MCP server shipped together

Good fit Use it at conversation start, after losing context, or before substantial repository work involving past decisions, conventions, or setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wiolett-industries/marketplace/using-agent-memory
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 wiolett-industries/marketplace --skill using-agent-memory
Clone the repo
git clone --depth 1 https://github.com/wiolett-industries/marketplace

Made for: Claude Code.

Or install agent-memory, the plugin that ships this one along with the rest of its 2 skills, 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 using-agent-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/wiolett-industries/marketplace/using-agent-memory/github.svg)](https://agentmods.dev/skills/wiolett-industries/marketplace/using-agent-memory)
Your own site
<a href="https://agentmods.dev/skills/wiolett-industries/marketplace/using-agent-memory"><img src="https://agentmods.dev/badge/skills/wiolett-industries/marketplace/using-agent-memory/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 using-agent-memory

Your own site · 80×15
<a href="https://agentmods.dev/skills/wiolett-industries/marketplace/using-agent-memory"><img src="https://agentmods.dev/badge/skills/wiolett-industries/marketplace/using-agent-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,544 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 original No closer match found 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 $0.00064 $0.01544
Opus 5.5 $0.00026 $0.00618
Sonnet 5.5 $0.00013 $0.00309
Haiku 4.5 $0.00006 $0.00154

Measured 1mo ago against content hash 412595272440, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

using-agent-memory 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.

plugins/agent-memory/skills/using-agent-memory/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using Agent Memory

Agent Memory is the MCP-backed durable memory system. It is separate from the host's built-in memory (Codex memories, Claude Code's memory/ directory and MEMORY.md index, or an equivalent), chat history, and .workflow/ artifacts. Use host built-in memory only as background, even when the host prompt asks you to save there: route durable user and project facts through memory_save/memory_update when the Agent Memory tools are available, and do not count a built-in memory read or write as the Agent Memory read or completion latch.

Retrieval Gate

At conversation start, after compaction, or before non-trivial repository work, decide whether durable knowledge can change the answer or execution path. Do not wait for the user to explicitly ask for memory.

  • For non-trivial repository work, run one memory read after the repo root is known whenever prior decisions, conventions, failures, setup, architecture, or user preferences could affect the result.
  • Use memory_recap when the task needs broad recovery across several memories; use memory_query for a focused question; use memory_recall only with a non-empty memory_id already returned by query/list/recap or named explicitly by the user. Never use memory_recall as the first semantic search or startup recall.
  • Query global only when a cross-project user preference or stable work habit could matter.
  • Skip the MCP read only for self-contained facts, trivial formatting, translation, or work whose outcome cannot reasonably depend on durable context.
  • Escalate to memory_recall, memory_list, or memory_inspect only when the focused query identifies a relevant entry, the index appears stale, or memory health itself is under investigation.

Pass the absolute workspace_root for project reads and writes whenever server cwd may differ from the repo. When the user explicitly asks about another project or names its path, keep scope: project and pass that other project's absolute root to memory_query (focused) or memory_recap (broad); this reads only that project's store and never initializes it. Do not scan sibling projects or write to another root unless the user explicitly authorizes that operation. An empty project result is not proof that memory is absent until the root and index/deep view have been checked.

Read the full file on GitHub · 60 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 Changed 412595272440
  2. 2mo ago Changed · +1 lines 920a474d6eb7
  3. 2mo ago First seen · 59 lines · 64 tokens per session scan A 3ac2a4cac35e

Subscribe to this mod's changes

using-agent-memory is a skill published in the GitHub repository wiolett-industries/marketplace (10 stars, last pushed 15d ago), licensed MIT. It adds 64 tokens to every session and 1,544 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

using-agent-memory compared with skills from other repositories

using-agent-memory next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
using-agent-memorywiolett-industries/marketplaceSkill1015d agoMITA64Claude Code
knowledge-ingestopenclaw/openclawSkill394kyesterdayMITA80Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0Skill68k2d agoApache-2.0A217Claude Code, Codex
forgetasgeirtj/system_prompts_leaksSkill71k2d agoCC0-1.0A74Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
memoryopensquilla/opensquillaSkill7.1k6d agoApache-2.0A44Claude Code, Codex
ha-data-storesshiwenwen/hope-agentSkill1.9kyesterdayMITA115Claude Code, Codex