memory

memory is a skill for Claude Code, Codex from Gen-Verse/PAST-Bench. It costs 11 tokens per session (344 once invoked), scanned A, a copy of memory, Apache-2.0.

A two-part memory system for storing lasting facts and a searchable history of past events.

In plain words
What is it for?
Use it to remember preferences and project facts, record events, and find earlier conversations or actions with text searches.
Why use it?
It lets the agent keep important context available while searching older details only when needed.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/gen-verse/past-bench/memory
Any agent
npx skills add Gen-Verse/PAST-Bench --skill memory
Clone the repo
git clone --depth 1 https://github.com/Gen-Verse/PAST-Bench

Made for: Claude Code, Codex.

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 memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/gen-verse/past-bench/memory.svg)](https://agentmods.dev/skills/gen-verse/past-bench/memory)
Your own site
<a href="https://agentmods.dev/skills/gen-verse/past-bench/memory"><img src="https://agentmods.dev/badge/skills/gen-verse/past-bench/memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 344 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00011 $0.00344
Opus 5 $0.00005 $0.00172
Sonnet 5 $0.00002 $0.00069
Haiku 4.5 $0.00001 $0.00034

Measured 3d ago against content hash 88d73a0d3a72, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 3d 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

100% identical to memory — 0 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.

agents/nanobot/nanobot/skills/memory/SKILL.md · 38 lines

What it actually says

Memory

Structure

  • memory/MEMORY.md — Long-term facts (preferences, project context, relationships). Always loaded into your context.
  • memory/HISTORY.md — Append-only event log. NOT loaded into context. Search it with grep-style tools or in-memory filters. Each entry starts with [YYYY-MM-DD HH:MM].

Search Past Events

Choose the search method based on file size:

  • Small memory/HISTORY.md: use read_file, then search in-memory
  • Large or long-lived memory/HISTORY.md: use the exec tool for targeted search

Examples:

  • Linux/macOS: grep -i "keyword" memory/HISTORY.md
  • Windows: findstr /i "keyword" memory\HISTORY.md
  • Cross-platform Python: python -c "from pathlib import Path; text = Path('memory/HISTORY.md').read_text(encoding='utf-8'); print('\n'.join([l for l in text.splitlines() if 'keyword' in l.lower()][-20:]))"

Prefer targeted command-line search for large history files.

When to Update MEMORY.md

Write important facts immediately using edit_file or write_file:

  • User preferences ("I prefer dark mode")
  • Project context ("The API uses OAuth2")
  • Relationships ("Alice is the project lead")

Auto-consolidation

Old conversations are automatically summarized and appended to HISTORY.md when the session grows large. Long-term facts are extracted to MEMORY.md. You don't need to manage this.

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. 3d ago First seen · 38 lines · 11 tokens per session scan A 88d73a0d3a72

Subscribe to this mod's changes

memory is a skill published in the GitHub repository Gen-Verse/PAST-Bench (24 stars, last pushed 29d ago), licensed Apache-2.0. It adds 11 tokens to every session and 344 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to memory, differing in 0 lines, and is treated as a copy.

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