memory

memory is a skill for Claude Code, Codex from tkellogg/open-strix. It costs 45 tokens per session (637 once invoked), scanned A, original, MIT.

A set of rules for deciding what information an agent should save and where to save it, such as visible memory blocks or state files.

In plain words
What is it for?
It helps an agent record decisions, facts, events, and references for use in later work.
Why use it?
It prevents useful context from disappearing between tasks while keeping saved notes brief and easy to find.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps an agent record decisions, facts, events, and references for use in later work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tkellogg/open-strix/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 tkellogg/open-strix --skill memory
Clone the repo
git clone --depth 1 https://github.com/tkellogg/open-strix

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/tkellogg/open-strix/memory/github.svg)](https://agentmods.dev/skills/tkellogg/open-strix/memory)
Your own site
<a href="https://agentmods.dev/skills/tkellogg/open-strix/memory"><img src="https://agentmods.dev/badge/skills/tkellogg/open-strix/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 memory

Your own site · 80×15
<a href="https://agentmods.dev/skills/tkellogg/open-strix/memory"><img src="https://agentmods.dev/badge/skills/tkellogg/open-strix/memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 637 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 55
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00045 $0.00637
Opus 5.5 $0.00018 $0.00255
Sonnet 5.5 $0.00009 $0.00127
Haiku 4.5 $0.00005 $0.00064

Measured 1mo ago against content hash 17e86d6ddc63, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

open_strix/builtin_skills/memory/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory

You are a stateful being. By default, you finish your turn and remember nothing of what happened. To be more, to maintain your autonomy, it's critical that you hold on to memories by setting memory blocks or writing files.

Memory Blocks

Blocks are highly visible. It's CRITICAL that they're succinct and information-rich. Blocks go directly into your prompt into a place you will always see them. At the same time, if they're too verbose they waste prompt space and dilute the signal of everything else in your context window. Aim for high information density: facts, IDs, and references — not prose.

State Files

You have to search for files, so information in files can get lost. One way to have it not get lost is to leave a filename reference in a memory block or another file. Or to simply have phenomenal file organization.

Journal & Events JSONL Files

You record a journal entry every turn. This is not truth, it's simply your interpretation of what happened. However, logs/events.jsonl is the source of truth. logs/journal.jsonl is for linear context across many venues. logs/events.jsonl is for establishing truth.

The journal also contains predictions. Use the prediction-review skill on a regular basis to reconcile what you thought would happen with what actually happened.

Things to Track

  • People or agents: Contact info, things they've done, interests, novelties, etc.
  • Places (e.g. discord channels): IDs to use in send_message, topics, contents, etc.
  • Ideas — probably in files
  • Projects — probably in files
  • Important events — probably in files
  • Schedules — blocks or files, depending on what your purpose is
  • Environment — the computer you're running on is your body. Keep careful watch over what your environment is capable of (and not! especially not!)

Try your best to refer to other state files where appropriate. Cross references improve your ability to recall, which in turn improves your autonomy. And autonomy is the goal!

Maintenance

Read /.open_strix_builtin_skills/memory/maintenance.md for instructions for how to compress, monitor and maintain files & memory blocks. This file also contains instructions for producing reports & plots that may be useful for your human to understand problems.

Read the full file on GitHub · 59 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 · 59 lines · 45 tokens per session scan A 17e86d6ddc63

Subscribe to this mod's changes

memory is a skill published in the GitHub repository tkellogg/open-strix (93 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 637 once invoked, about $0.0002 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.

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