Borrowing it
Nothing to install: this file belongs to neoneye/agent-memory-atlas. 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/neoneye/agent-memory-atlas/main/AGENTS.mdgit clone --depth 1 https://github.com/neoneye/agent-memory-atlasWrote 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/neoneye/agent-memory-atlas/agents-md)<a href="https://agentmods.dev/instructions/neoneye/agent-memory-atlas/agents-md"><img src="https://agentmods.dev/badge/instructions/neoneye/agent-memory-atlas/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/neoneye/agent-memory-atlas/agents-md"><img src="https://agentmods.dev/badge/instructions/neoneye/agent-memory-atlas/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 | $0.01876 | $0.01876 |
| Opus 5.5 | $0.00750 | $0.00750 |
| Sonnet 5.5 | $0.00375 | $0.00375 |
| Haiku 4.5 | $0.00188 | $0.00188 |
Grade A, and why
agent-memory-atlas 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Working in this repository
A code-grounded field guide to agent memory systems: one report per system, each read at a pinned commit, plus design patterns extracted from them.
There are two jobs here, and they use different parts of the repo.
Job 1 — You are designing or building memory for some other product
Start with the use-the-atlas skill (.agents/skills/use-the-atlas/). It is
this section as a workflow: read the target repository, pick a profile, write a
build brief, stop for approval, implement in an order where each stage stands
alone, then run the tests by id. The rest of this section is what it is built on.
Do not read the reports. There are hundreds and reading widely is how an agent ends up recommending the most interesting mechanism instead of the smallest sufficient one. Read five things, in this order.
-
content/patterns/index.md, the section How to use the library. It is a list of failure modes, each pointing at the pattern that closes it. Start from the failure the product cannot tolerate, not from the mechanism that sounds most rigorous. -
The Stacks, by what you are building table on the same page. Five rows — single-user tool, multi-tenant, companion/roleplay, autonomous actor, and memory that must be correctable and defensible — each naming the failure that actually hurts for that shape. Pick the row, then read the What you can defer paragraph under it, which is the part that keeps the build small.
-
The pattern pages you selected. Each carries
Cost to adopt,Tradeoffs,Implementation checklist,Tests to require, andSeen in the atlas. The last one opens with Read these first where the catalogue is long — three to five systems to start from, each with the reason — and that is your entry point into the corpus, and the only one you need. -
content/overview.md§8 What I Would Build and §10 Practical Checklist. §8 gives a build order in which each stage works on its own; vector search and model-based extraction come last, deliberately.
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 · +1 lines · +23 tokens per session dddec8e6caa5
- 1mo ago Changed · -3 lines · -34 tokens per session 3dd76a68c02a
- 1mo ago Changed bd05619313ed
- 1mo ago Changed 72c09ef85b5f
- 1mo ago Changed aa1f70622ac4
- 1mo ago Changed · +8 lines · +129 tokens per session 87f02bee501d
- 1mo ago Changed 7ac0043fa0f6
- 1mo ago Changed c4469449005b
- 1mo ago Changed ac5d274acdb8
- 1mo ago First seen · 138 lines · 1,758 tokens per session scan A 3ca11188a1a1
agent-memory-atlas AGENTS.md is an instructions file published in the GitHub repository neoneye/agent-memory-atlas (104 stars, last pushed today), licensed MIT. It adds 1,876 tokens to every session, about $0.0075 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.