A cross-project research memory system for finding notes from earlier research projects and saving lessons that apply across projects. Information from past projects is treated as an unverified lead until checked against current evidence.

Use it to inspect past project notes, check existing papers and experiments, record corrections, and save decisions or lessons for future research.

It helps you reuse earlier findings without confusing old notes with confirmed results or overlooking recorded corrections.

memory — Skill for Claude Code and Codex by Muuuun: A cross-project research memory system for finding notes from…

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/muuuun/luxas/memory

Any agent

npx skills add Muuuun/luxas --skill memory

Clone the repo

git clone --depth 1 https://github.com/Muuuun/luxas

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/muuuun/luxas/memory.svg)](https://agentmods.dev/skills/muuuun/luxas/memory)

Your own site

<a href="https://agentmods.dev/skills/muuuun/luxas/memory"><img src="https://agentmods.dev/badge/skills/muuuun/luxas/memory.svg" alt="Measured on agentmods" height="20"></a>

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 673 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00030	$0.00673
Opus 5	$0.00015	$0.00336
Sonnet 5	$0.00006	$0.00135
Haiku 4.5	$0.00003	$0.00067

Measured 4d ago against content hash 773e7ec391d6, 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 4d 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.

skills/memory/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Skill

Access persistent memory that spans across research projects.

You do not need this skill to discover past projects — your system prompt already carries a <past_research> digest (every past project's name, date, notes path, and research question) and <global_memory> (cross-project lessons). This skill is for what comes after discovery: deep-diving a relevant project's notes, recording corrections, and saving insights.

Trust rule

Everything read from a past project is a dated, UNVERIFIED lead — not established fact. Values must re-enter the current project's own evidence chain (reader-distilled literature, this project's experiments) before they appear in report.tex. Honor ## CORRECTIONS sections wherever you find them.

Files

Past project notes (primary source)

The <past_research> digest lists each project's live notes path:

<path>/notes/experiments.md   ← findings, alternatives, limitations, red-team
<path>/notes/literature.md    ← reader-distilled per-paper entries
<path>/notes/memory.md        ← decisions, dead ends, TODOs
<path>/data/papers/           ← downloaded PDFs (check before re-downloading)

~/.sisyphus/projects.json

Project registry (path, name, dates, auto-generated summary, cost). The digest is built from this; read it directly only for projects that fell into the digest's overflow index.

~/.sisyphus/memory.md

Cross-project lessons, injected into every run as <global_memory>. You can read and write it. Keep it SMALL; every entry starts with a provenance tag [project, YYYY-MM]. Tool/method lessons, recurring pitfalls, and cross-domain connections belong here — domain findings and numbers do NOT (they live in the source project's notes and must be re-verified wherever used).

~/.sisyphus/archive//

Auto-archived copies of each project's notes + report.tex, written when a run completes. Fallback when the live project dir is gone.

CORRECTIONS convention

When you find that a past project's notes contain a claim that is wrong, append a ## CORRECTIONS section to that file (live notes and archive copy) stating the false claim, why it is wrong, and the evidence — do not edit the original text. History stays intact; future readers see the refutation next to the claim.

Read the full file on GitHub · 73 lines

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.

4d ago First seen · 73 lines · 30 tokens per session scan A 773e7ec391d6

Subscribe to this mod's changes

memory is a skill published in the GitHub repository Muuuun/luxas (945 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 673 once invoked, about $0.0002 per session on Opus 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.

LaTeX Memory and context Research agentic-ai autonomous-agent claude multi-agent-system research-agent

paper-poster

DEPRECATED — superseded by /paper-poster-html. Kept only as a redirect for muscle memory; do not use for new posters.

wanshuiyin/Auto-claude-code-research-in-sleep · 33 tokens

agenticx-memory-architect

Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents. Use when the user wants to add memory to agents, persist conversation history, build memory-aware workflows, or integrate with Mem0 for long-term recall.

DemonDamon/AgenticX · 67 tokens

memory