What is mneme AGENTS.md?

Repository instructions for Mneme that require recording who produced each pull request and how the work was performed. A pull request is a proposed code change submitted for review.

Filling in pull-request execution provenance, including the contributor type, agent details, task origin, and responsible human reviewer.

They preserve a clear record when an agent, a person, or both contribute under the same Git identity.

mneme AGENTS.md — Instructions file for Codex and OpenCode by MnemeHQ: Repository instructions for Mneme that require recording who produced

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/mnemehq/mneme/agents-md

Clone the repo

git clone --depth 1 https://github.com/MnemeHQ/mneme

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/mnemehq/mneme/agents-md.svg)](https://agentmods.dev/instructions/mnemehq/mneme/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/mnemehq/mneme/agents-md"><img src="https://agentmods.dev/badge/instructions/mnemehq/mneme/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 379 This file is loaded in full into every session.

When invoked 379 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.

Model	Per session	Once invoked
Fable 5	$0.00379	$0.00379
Opus 5	$0.00189	$0.00189
Sonnet 5	$0.00076	$0.00076
Haiku 4.5	$0.00038	$0.00038

Measured 4d ago against content hash 2ef4e85f3f8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mneme 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 · 33 lines

What it actually says

AGENTS.md

Notes for AI agents working in this repository.

Repository workflow, worktree lifecycle, merge policy, and architecture constraints are defined in CLAUDE.md; those rules apply regardless of which agent is executing the task.

Agent execution provenance

Every pull request must record who actually produced the change. Git author identity is not sufficient because agent work is commonly committed under the human owner's Git identity.

Use the PR template's Execution provenance block. Required fields:

Change author: human, agent, or mixed.
Agent: the concrete agent surface (codex, claude-code, kiro, chatgpt-work, etc.), or none for human-only work.
Agent model: model identifier when exposed; not-exposed is acceptable when the tool does not expose it; n/a only for human-only work.
Agent session: stable session ID or share/work URL when available; not-exposed is acceptable when unavailable; n/a only for human-only work.
Task origin: where the task was scoped (chatgpt, claude, local, manual, etc.).
Human owner: GitHub username responsible for review/promotion.

When an agent creates commits directly, also append commit trailers where practical:

Agent: codex
Agent-Model: gpt-5.6-sol
Agent-Session: cx_...
Task-Origin: chatgpt
Human-Owner: TheoV823

The PR body is the durable source of truth because squash merges may collapse or discard individual commit trailers.

Authorship, human promotion, release/deployment, and worktree cleanup are separate lifecycle facts. Never infer one from another. If usage/session limits interrupt the task, report the remaining lifecycle step explicitly.

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.

4d ago First seen · 33 lines · 379 tokens per session scan A 2ef4e85f3f8f

Subscribe to this mod's changes

mneme AGENTS.md is an instructions file published in the GitHub repository MnemeHQ/mneme (19 stars, last pushed 4d ago), licensed MIT. It adds 379 tokens to every session, about $0.0019 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.

Building agents LLM ai-coding architectural-decision-records claude-code developer-tools software-architecture

mneme AGENTS.md

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

AGENTS.md

Agent execution provenance

What this file has done since we first saw it

Other instructions, from other repositories

opensrc AGENTS.md

snip CLAUDE.md

lid AGENTS.md

detrix CLAUDE.md

nanocoder CLAUDE.md

nanocoder AGENTS.md