Supermemory is a memory and context engine for AI applications that stores, updates, and retrieves information from conversations and other sources. It helps AI systems retain user facts, build profiles, search knowledge, and supply relevant context.
Borrowing it
Nothing to install: this file belongs to supermemoryai/supermemory. 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/supermemoryai/supermemory/main/AGENTS.mdgit clone --depth 1 https://github.com/supermemoryai/supermemoryWrote 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/supermemoryai/supermemory/agents-md)<a href="https://agentmods.dev/instructions/supermemoryai/supermemory/agents-md"><img src="https://agentmods.dev/badge/instructions/supermemoryai/supermemory/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/supermemoryai/supermemory/agents-md"><img src="https://agentmods.dev/badge/instructions/supermemoryai/supermemory/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 | $0.03351 | $0.03351 |
| Opus 5.5 | $0.01340 | $0.01340 |
| Sonnet 5.5 | $0.00670 | $0.00670 |
| Haiku 4.5 | $0.00335 | $0.00335 |
Grade A, and why
supermemory 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 8d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Context for AI coding agents (Claude Code, Cursor, Codex, OpenCode, Copilot and others) working with supermemory.
supermemory is a memory engine for AI agents: a memory graph that updates and forgets facts, user profiles, and retrieval over your documents, through one API. Documentation · Docs index for agents · Console and API keys
Two jobs, two sections:
- Adding supermemory to another project? Read Use supermemory in an app.
- Changing code in this repository? Read Work in this repository.
Use supermemory in an app
Start here
- Check the docs index or the docs MCP (below) before writing any endpoint.
npx supermemory setup --promptprints the integration prompt for the current project. Plainnpx supermemory setuplaunches a separate coding agent, so use--promptwhen you are already an agent.npx supermemory help --jsonlists every CLI command in a machine-readable form.- The official skill teaches the current (v5) API surface:
npx skills add https://github.com/supermemoryai/skills --skill supermemory
Install and first calls
Set SUPERMEMORY_API_KEY (create a key in the console), then install SDK version 5
or later:
npm i supermemory # TypeScript / JavaScript
pip install -U supermemory # Python (3.10 or later)
Every memory call (add, search, profile, list, documents) takes a namespace first: one user, workspace or tenant.
import { Supermemory } from "supermemory";
const supermemory = new Supermemory({ apiKey: process.env.SUPERMEMORY_API_KEY });
await supermemory.add("user_123", {
content: "User prefers TypeScript",
dreaming: "instant", // processed right away (one extra operation per document); the default "dynamic" batches extraction
});
const { results } = await supermemory.search("user_123", { query: "language preference" });
const { profile } = await supermemory.profile("user_123");
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.
- 8d ago First seen · 252 lines · 3,351 tokens per session scan A 874549ea7a94
supermemory AGENTS.md is an instructions file published in the GitHub repository supermemoryai/supermemory (31,545 stars, last pushed yesterday), licensed MIT. It adds 3,351 tokens to every session, about $0.0134 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 2026-10-29.
supermemory AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| supermemory AGENTS.mdsupermemoryai/supermemory | Instructions file | 32k | yesterday | MIT | A | 3,351 | Claude Code, Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |