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memos-engine: Instructions file for Codex

AGENTS.md

memos-engine AGENTS.md is an instructions file for Codex, OpenCode from TAskMAster339/memos-engine. It costs 4,667 tokens per session, scanned A, original, MIT.

Repository instructions for navigating and changing the memos-engine codebase with a structural code index called memos. The index records functions, classes, imports, and which parts of the code call one another.

In plain words
What is it for?
Use it when locating a function or class, tracing callers and dependencies, inspecting project structure, or deciding when ordinary file searches are appropriate.
Why use it?
It helps developers find the right code without searching through unrelated text or reading whole files. It also sets an expected order for investigating and editing the project.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is TAskMAster339/memos-engine's own configuration. It tells Codex and OpenCode how to work on memos-engine itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything memos-engine configures →

not rated 2repo 3mo ago A scan 4,667 tokens original MIT
View source ↗ TAskMAster339/memos-engine pypi.org
Reuse

Borrowing it

Nothing to install: this file belongs to TAskMAster339/memos-engine. 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/TAskMAster339/memos-engine/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/TAskMAster339/memos-engine

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.

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README.md
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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.

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Per session 4,667 This file is loaded in full into every session.
When invoked 4,667 The same file — it is already loaded in full.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.04667 $0.04667
Opus 5.5 $0.01867 $0.01867
Sonnet 5.5 $0.00933 $0.00933
Haiku 4.5 $0.00467 $0.00467

Measured 2mo ago against content hash 1b4d005558a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memos-engine AGENTS.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| `curl http://localhost:8000/symbols/{id}/context` | API: get context for symbol |
AGENTS.md · 302 lines

How it starts

The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Этот репозиторий проиндексирован memos — используй MCP-инструменты memos для навигации по коду. Это быстрее grep/cat и точнее.

Code navigation policy (memos)

Этот проект проиндексирован memos — структурным индексом кода (symbols, call edges, imports) с episodic memory. Инструмент доступен через MCP-тулы. Прежде чем читать файл целиком или делать grep по коду — используй memos. Это быстрее, точнее и не тратит контекст на нерелевантные строки.

Обязательный порядок действий

  1. В начале сессии, если ещё не открыт проект — вызови open_project с абсолютным путём к корню репозитория. Это одноразовое действие на сессию, если проект уже открыт — не вызывай повторно.

  2. Чтобы найти определение функции/класса/переменной — используй find_symbol_tool(name, kind=None, file_path=None). Не используй grep/cat для этого — memos даёт точный результат (файл, строки, сигнатура, exported) без ложных совпадений по имени в комментариях/строках.

  3. Чтобы понять, кто вызывает функцию или что вызывает она — используй find_calls_tool(symbol_name, direction="callers"|"callees"). Это заменяет ручной grep по имени функции во всём репозитории.

  4. Перед тем как редактировать функцию — вызови get_context_tool(symbol_id). Он возвращает символ + всех callers + callees + episodic memory заметки + кэшированный LLM-summary (если есть). Это заменяет повторное чтение всего файла и всех зависимых файлов — не открывай их вручную, если get_context_tool уже дал нужную картину.

  5. Чтобы посмотреть всё содержимое файла структурно (какие символы, вызовы, импорты) — используй get_module_tool(path) вместо чтения файла целиком, если тебе не нужен именно raw-текст (форматирование, комментарии, точный синтаксис для правки).

  6. Для поиска по смыслу, а не по точному имени ("где у нас логика авторизации", "функция, которая парсит даты") — используй semantic_search_tool(query, top_k).

  7. После значимого решения, вывода или "гочи", которое стоит помнить в будущих сессиях (архитектурное решение, причина странного кода, TODO с контекстом) — сохрани заметку через memory_add_note(content, scope_type, scope_id, kind). Не полагайся только на свой ответ в чате — он не переживёт сессию, а memory_entries переживают.

Read the full file on GitHub · 302 lines

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.

  1. 2mo ago First seen · 302 lines · 4,667 tokens per session scan A 1b4d005558a1

Subscribe to this mod's changes

memos-engine AGENTS.md is an instructions file published in the GitHub repository TAskMAster339/memos-engine (2 stars, last pushed 3mo ago), licensed MIT. It adds 4,667 tokens to every session, about $0.0187 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode