What is wanyimem AGENTS.md?

Repository instructions for an AI memory server written mainly in Chinese. They define its layout and rules for keeping protocol output clean, preserving memories, handling unavailable models, protecting private data, and keeping version numbers aligned.

Use them when changing the memory server, its tests, package metadata, model fallbacks, logging, or version information.

They give AI collaborators specific boundaries that prevent broken server communication, accidental data loss, privacy leaks, crashes during fallback, and inconsistent versions.

How 17861102832/wanyimem configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to 17861102832/wanyimem. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/17861102832/wanyimem/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/17861102832/wanyimem

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/17861102832/wanyimem/agents-md/github.svg)](https://agentmods.dev/instructions/17861102832/wanyimem/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/17861102832/wanyimem/agents-md"><img src="https://agentmods.dev/badge/instructions/17861102832/wanyimem/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/17861102832/wanyimem/agents-md"><img src="https://agentmods.dev/badge/instructions/17861102832/wanyimem/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 330 This file is loaded in full into every session.

When invoked 330 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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 5.1	$0.00330	$0.00330
Opus 5.5	$0.00132	$0.00132
Sonnet 5.5	$0.00066	$0.00066
Haiku 4.5	$0.00033	$0.00033

Measured 2mo ago against content hash 6d6d7e5d2d11, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wanyimem 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 2mo 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 · 19 lines

What it actually says

AGENTS.md — 给 AI 协作者的说明

本仓库由 AI 智能体高频协作，请遵守以下约定：

结构

wanyi/ 主包（扁平布局，非 src/）
wanyi/memory_core.py 核心引擎（23 个 MCP 工具 + stdio 传输层）
tests/ 冒烟测试（必须无模型可跑）

铁律

stdout 纯净：MCP server 的 stdout 只能输出协议帧。任何日志必须写 stderr。新增 print 到 stdout = 直接破坏协议 = 严重错误。
永不删除记忆：append-only 事件溯源是核心原则，任何"删除记忆"功能都不接受。
降级优先：向量/精排/图谱模型不可用时必须静默降级（返回 None / 空），绝不允许崩溃。
隐私红线：仓库内绝不出现真实用户记忆、个人路径、密钥。个人路径必须走环境变量 + 通用默认值。
中文优先：向量模型面向中文，检索词、工具名、记忆内容以中文为主。
版本一致：修改 memory_core.py 的 serverInfo 版本号时，必须同步 pyproject.toml、__init__.py 的 __version__。

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.

2mo ago First seen · 19 lines · 330 tokens per session scan A 6d6d7e5d2d11

Subscribe to this mod's changes

wanyimem AGENTS.md is an instructions file published in the GitHub repository 17861102832/wanyimem (3 stars, last pushed 14d ago), licensed MIT. It adds 330 tokens to every session, about $0.0013 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 2026-08-31.

Building agents LLM Memory and context agent-memory ai-agent event-sourcing local-first mcp

wanyimem AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
wanyimem AGENTS.md17861102832/wanyimem	Instructions file	3	14d ago	MIT	A	330	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

wanyimem: Instructions file for Codex