mnemo-mcp: Instructions file for Codex

AGENTS.md

mnemo-mcp AGENTS.md is an instructions file for Codex, OpenCode from sshisto/mnemo-mcp. It costs 1,265 tokens per session, scanned A, original, MIT.

A project instruction file for mnemo-mcp, a Python server that provides persistent memory through the Model Context Protocol (MCP). It lists the project's setup, formatting, type-checking, build, and test commands.

In plain words
What is it for?
Setting up the Python project, running lint and formatting checks, checking types, building the package, running all tests, or running one selected test.
Why use it?
It gives coding agents the repository-specific commands needed to validate changes consistently.

Instructions file for CodexOpenCode

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

This is sshisto/mnemo-mcp's own configuration. It tells Codex and OpenCode how to work on mnemo-mcp 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 mnemo-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sshisto/mnemo-mcp. 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/sshisto/mnemo-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/sshisto/mnemo-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,265 This file is loaded in full into every session.
When invoked 1,265 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01265 $0.01265
Opus 5.5 $0.00506 $0.00506
Sonnet 5.5 $0.00253 $0.00253
Haiku 4.5 $0.00127 $0.00127

Measured 2mo ago against content hash 635aefd28aff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mnemo-mcp 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 · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - mnemo-mcp

Persistent AI memory MCP Server. Python 3.13, uv, src layout.

Build / Lint / Test Commands

uv sync --group dev                # Install dependencies
uv build                           # Build package (hatchling)
uv run ruff check .                # Lint
uv run ruff format --check .       # Format check
uv run ruff format .               # Format fix
uv run ruff check --fix .          # Lint fix (with --unsafe-fixes for aggressive)
uv run ty check                    # Type check (Astral ty)
uv run pytest                      # Run all tests (integration excluded by default)
uv run pytest -v                   # Verbose
uv run pytest -m integration       # Run integration tests only

# Run a single test file
uv run pytest tests/test_db.py

# Run a single test class
uv run pytest tests/test_db.py::TestSearch

# Run a single test function
uv run pytest tests/test_db.py::TestSearch::test_basic_match -v

# Mise shortcuts
mise run setup     # Full dev environment setup
mise run lint      # ruff check + ruff format --check + ty check
mise run test      # pytest
mise run fix       # ruff check --fix + ruff format
mise run dev       # uv run mnemo-mcp

Pytest Configuration

  • asyncio_mode = "auto" -- no @pytest.mark.asyncio needed
  • Default timeout: 30 seconds per test
  • Integration tests excluded by default (-m 'not integration')
  • Test files: test_*.py in tests/ directory

Code Style

Formatting (Ruff)

  • Line length: 88
  • Quotes: Double quotes
  • Indent: 4 spaces (Python), 2 spaces (JSON/YAML/TOML)
  • Line endings: LF
  • Target: Python 3.13

Ruff Rules

select = ["E", "F", "W", "I", "UP", "B", "C4"], ignore = ["E501"]

  • I = isort import ordering, UP = pyupgrade (modern syntax), B = bugbear, C4 = comprehensions

Type Checker (ty)

Lenient config: unresolved-import, unresolved-attribute, possibly-missing-attribute all "ignore".

Import Ordering (isort via Ruff)

  1. __future__ imports
  2. Standard library (import asyncio, import json)
  3. Third-party (from loguru import logger, from pydantic_settings import BaseSettings)
  4. Local (from mnemo_mcp.config import settings, from mnemo_mcp.db import MemoryDB)

Read the full file on GitHub · 143 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 · 143 lines · 1,265 tokens per session scan A 635aefd28aff

Subscribe to this mod's changes

mnemo-mcp AGENTS.md is an instructions file published in the GitHub repository sshisto/mnemo-mcp (2 stars, last pushed 17d ago), licensed MIT. It adds 1,265 tokens to every session, about $0.0051 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.

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