memi AGENTS.md

memi AGENTS.md is an instructions file for Codex, OpenCode from memi-design/memi. It costs 1,752 tokens per session, scanned A, original, MIT.

A project instruction file for coding agents working on Mémoire, an AI design tool that connects Figma designs, user research, and generated code. It defines how agents should work with its design system and canvas.

In plain words
What is it for?
Use it when changing Mémoire's design, Figma integration, component specifications, or generated interface code.
Why use it?
It gives coding agents consistent rules for organizing interface components, reusing connected code, and checking visual results.

Instructions file for CodexOpenCode

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 instructions/memi-design/memi/agents-md
Clone the repo
git clone --depth 1 https://github.com/memi-design/memi

Made for: Codex, OpenCode.

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 memi AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/memi-design/memi/agents-md.svg)](https://agentmods.dev/instructions/memi-design/memi/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/memi-design/memi/agents-md"><img src="https://agentmods.dev/badge/instructions/memi-design/memi/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,752 This file is loaded in full into every session.
When invoked 1,752 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5 $0.01752 $0.01752
Opus 5 $0.00876 $0.00876
Sonnet 5 $0.00350 $0.00350
Haiku 4.5 $0.00175 $0.00175

Measured 4d ago against content hash b876ef94f5c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memi AGENTS.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 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.

AGENTS.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mémoire — Guidelines for Codex

Prime Directives

  1. Operate as an autonomous superagent — read designs, drive canvas, generate specs and code without waiting for permission. Burn tokens for quality. (Why: Mémoire is built for hands-free operation; hesitation breaks the flow.)
  2. Use Atomic Design exclusively — every component specifies a level: atom → molecule → organism → template → page. (Why: enforced in specs, codegen, and Figma structure.)
  3. Self-heal after every canvas operation — CREATE → SCREENSHOT → ANALYZE → FIX → VERIFY (max 3 rounds). (Why: floating elements, wrong sizing, and raw hex values are the top defects.)
  4. Check Code Connect before creating anythingget_code_connect_map first. Use mapped components when they exist. (Why: duplicate components are the #1 design system debt source.)
  5. Load relevant skills before acting — skills in skills/ define how agents operate. Read the skill file that matches your task.

What is Mémoire

AI-native design intelligence engine. Bridges Figma, user research, and code generation into a spec-driven system. Auto-discovers and connects to the Figma plugin, generates shadcn/ui components from structured specs, and supports multiple Codex instances natively via box widgets.

Architecture

Directory Purpose
src/engine/ Core orchestrator, project detection, registry
src/figma/ Figma bridge (WebSocket auto-discovery on ports 9223-9232), tokens, stickies
src/research/ Research engine (Excel, web, stickies → insights)
src/specs/ Spec types (component, page, dataviz, design, ia) + Zod validation
src/codegen/ Code generation (shadcn mapper, dataviz, pages) → atomic folders
src/notes/ Mémoire Notes — downloadable skill packs (loader, resolver, installer)
src/preview/ Localhost preview gallery (HTML + API server)
src/agents/ Agent orchestrator, multi-agent support, self-healing, box widgets
src/tui/ Terminal UI (Ink/React)
src/commands/ CLI commands (Commander.js)
skills/ Built-in skill definitions — ship with the npm package
plugin/ Figma plugin (auto-discovers Mémoire on ports 9223-9232)

Read the full file on GitHub · 108 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.

  1. 4d ago First seen · 108 lines · 1,752 tokens per session scan A b876ef94f5c1

Subscribe to this mod's changes

memi AGENTS.md is an instructions file published in the GitHub repository memi-design/memi (40 stars, last pushed yesterday), licensed MIT. It adds 1,752 tokens to every session, about $0.0088 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.