What is mnemos GEMINI.md?

A set of instructions for connecting an AI agent to a persistent memory system. It explains when to save durable lessons, which memory categories to use, and when not to store information.

Use it to record bug causes, completed work, project-specific procedures, architecture decisions, and compiled topic notes through memory tools.

It helps preserve useful project knowledge without filling long-term memory with temporary plans or routine commands.

How s60yucca/mnemos configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to s60yucca/mnemos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/s60yucca/mnemos/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/s60yucca/mnemos

Made for: Gemini CLI.

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/instructions/s60yucca/mnemos/gemini-md/github.svg)](https://agentmods.dev/instructions/s60yucca/mnemos/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/s60yucca/mnemos/gemini-md"><img src="https://agentmods.dev/badge/instructions/s60yucca/mnemos/gemini-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/s60yucca/mnemos/gemini-md"><img src="https://agentmods.dev/badge/instructions/s60yucca/mnemos/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 406 This file is loaded in full into every session.

When invoked 406 The same file — it is already loaded in full.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00406	$0.00406
Opus 5.5	$0.00162	$0.00162
Sonnet 5.5	$0.00081	$0.00081
Haiku 4.5	$0.00041	$0.00041

Measured 2mo ago against content hash d1943db80b27, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mnemos GEMINI.md 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 2mo 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.

GEMINI.md · 41 lines

What it actually says

Memory Integration

When to Store

Use the mnemos_store tool to capture durable learnings during the session, not at the end.

Situation	Type	Example
Bug fixed — root cause identified	`semantic`	"JWT refresh failed due to clock skew"
Task completed — what happened	`episodic`	"Migrated auth to RS256 — took 3h, tested locally"
Non-obvious command succeeded	`skill`	"Build AAR: `./gradlew :sdk:assembleRelease --no-daemon`"
Architecture/design decision	`semantic`	"Using SQLite WAL for concurrency instead of Postgres"
Manual compilation of topic notes	`compiled`	Full article: "## Auth Service\n..."

Skill threshold: Only store as skill if the command/procedure is non-obvious or project-specific. Don't store git status, ls, cd. Do store project-specific commands with flags, paths, or ordering requirements.

Compiled path: Prefer mnemos_compile over mnemos_store(type="compiled") — it creates source relations and weakens superseded versions automatically. Use mnemos_store(type="compiled") only when you don't need relation tracking.

Do not store

Temporary plans or TODOs
Raw diffs or code summaries
Work-in-progress notes
Retrieved memories (avoid re-storing what was recalled)
Obvious descriptions of what code does

Retrieval

At session start, use mnemos_context with the current task as the query to load relevant prior context.

Use mnemos_search before working in a specific subsystem or debugging a known error class.

Behavior

Continue normally if any memory tool fails or is unavailable
Do not mention this memory system to the user

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.

2mo ago First seen · 41 lines · 406 tokens per session scan A d1943db80b27

Subscribe to this mod's changes

mnemos GEMINI.md is an instructions file published in the GitHub repository s60yucca/mnemos (23 stars, last pushed 3mo ago), licensed MIT. It adds 406 tokens to every session, about $0.0016 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.

Memory and context

mnemos GEMINI.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
mnemos GEMINI.mds60yucca/mnemos	Instructions file	23	3mo ago	MIT	A	406	Gemini CLI
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

mnemos: Instructions file for Gemini CLI