Borrowing it
Nothing to install: this file belongs to memi-design/memi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/memi-design/memi/main/AGENTS.mdgit clone --depth 1 https://github.com/memi-design/memiWrote 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.
[](https://agentmods.dev/instructions/memi-design/memi/agents-md)<a href="https://agentmods.dev/instructions/memi-design/memi/agents-md"><img src="https://agentmods.dev/badge/instructions/memi-design/memi/agents-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.
<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="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01909 | $0.01909 |
| Opus 5.5 | $0.00764 | $0.00764 |
| Sonnet 5.5 | $0.00382 | $0.00382 |
| Haiku 4.5 | $0.00191 | $0.00191 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mémoire — Guidelines for Codex
Prime Directives
- Complete authorized work autonomously — use the smallest relevant evidence and explicit execution capabilities. Memi's locked profile is the default; no skill or design artifact grants additional authority.
- Reuse the existing system — identify component responsibilities and reuse exports, props, tokens, and stories. Memi's own Atomic Design conventions do not require consumer repositories to migrate.
- 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.)
- Check mappings before creating components — use native Code Connect when available, otherwise an explicitly sourced checked-in mapping. Validate it against current code; report stale or conflicting evidence.
- Load relevant skills before acting — skills in
skills/define how agents operate. Read the skill file that matches your task.
What is Mémoire
Memi supplies deterministic frontend evidence and interface checks to coding harnesses. The published 2.8.0-beta.2 beta on npm next reads bounded repository inputs, normalizes host-supplied Figma/Paper references, and identifies existing components/tokens/stories. Locked stdio does not autodiscover Figma, start sockets, or write project state. npm stable remains 2.7.9; see docs/FRONTEND_WORKFLOW.md and docs/trust/ACCEPTANCE_LEDGER.md for beta scope and remaining stable-release gates.
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) |
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.
- 1mo ago Changed · +4 lines · +157 tokens per session 22c6a9a56cab
- 2mo ago First seen · 108 lines · 1,752 tokens per session scan A b876ef94f5c1
memi AGENTS.md is an instructions file published in the GitHub repository memi-design/memi (50 stars, last pushed 2d ago), licensed MIT. It adds 1,909 tokens to every session, about $0.0076 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.
memi AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| memi AGENTS.mdmemi-design/memi | Instructions file | 50 | 2d ago | MIT | A | 1,909 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | 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 |