codex-agent-mem: Instructions file for Codex

AGENTS.md

codex-agent-mem AGENTS.md is an instructions file for Codex, OpenCode from MarceloCaporale/codex-agent-mem. It costs 1,043 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for codex-agent-mem, a local memory layer that helps MCP-compatible coding agents retain information between sessions.

In plain words
What is it for?
Use them when modifying the memory system, its SQLite database, MCP interface, FastAPI screen, or generated AGENTS.md context.
Why use it?
They explain the project’s names, storage, retrieval interfaces, memory extraction, and maintenance rules.

Instructions file for CodexOpenCode

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

This is MarceloCaporale/codex-agent-mem's own configuration. It tells Codex and OpenCode how to work on codex-agent-mem 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 codex-agent-mem configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MarceloCaporale/codex-agent-mem. 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/MarceloCaporale/codex-agent-mem/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/MarceloCaporale/codex-agent-mem

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.

agentmods badge for codex-agent-mem AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/marcelocaporale/codex-agent-mem/agents-md"><img src="https://agentmods.dev/badge/instructions/marcelocaporale/codex-agent-mem/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.

agentmods 80×15 button for codex-agent-mem AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/marcelocaporale/codex-agent-mem/agents-md"><img src="https://agentmods.dev/badge/instructions/marcelocaporale/codex-agent-mem/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,043 This file is loaded in full into every session.
When invoked 1,043 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 $0.01043 $0.01043
Opus 5.5 $0.00417 $0.00417
Sonnet 5.5 $0.00209 $0.00209
Haiku 4.5 $0.00104 $0.00104

Measured 2mo ago against content hash 6b000860e428, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-agent-mem 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 · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS

This repository is intentionally optimized for MCP-compatible AI agents, coding workflows, deep-research tools, and maintainers who need a fast map of what exists today.

Public name vs import name

  • Public repository name: codex-agent-mem
  • Python package import name: codex_agent_mem
  • CLI commands use the public name with hyphens, for example codex-agent-mem-smoke

What this project is

  • A portable, local-first MCP memory layer for agent continuity across MCP-compatible runtimes
  • Current durable store: local SQLite
  • Current retrieval surface: MCP stdio
  • Current capture path: local agent turn ingestion, including Codex notify on agent-turn-complete
  • Current inspection surface: local FastAPI UI at /ui
  • Current continuity surface: generated AGENTS.md working-memory block when compression is favorable
  • Current extraction strategy: heuristic extraction of session summaries, user requests, objectives, decisions, constraints, pending/completed work, blockers, DoD items, and completion claims

Working rules for agents

  • Preserve the local-first MCP core.
  • Do not use an operational maintainer database for tests; use temporary databases.
  • Keep hosted/web bridge experiments out of the public core unless the repository scope changes explicitly.
  • Keep compatibility and token-savings claims tied to reproducible evidence.
  • Keep the six README files equivalent in content across languages.
  • For broad/container project keys, prefer mem_bootstrap_context or mem_scope_resolve before loading mem_context_pack(project_key). A project-wide pack may remain available, but it must not be treated as the active thread when candidate lanes are ambiguous.
  • Do not tag, publish, or release from a dirty tree.

Fastest commands

pip install -e .[dev]
pytest -q
python -m compileall src
ruff check .
python scripts/mcp_contract_smoke.py --both
python scripts/check_repo_hygiene.py
python scripts/smoke_release.py --mcp-subprocess --with-ruff --with-build --with-wheel-smoke
codex-agent-mem-smoke
codex-agent-mem-bootstrap-codex --db-path C:\Users\YOU\.codex_agent_mem\codex_agent_mem.db
python -m build

Read the full file on GitHub · 116 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 · 116 lines · 1,043 tokens per session scan A 6b000860e428

Subscribe to this mod's changes

codex-agent-mem AGENTS.md is an instructions file published in the GitHub repository MarceloCaporale/codex-agent-mem (41 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 1,043 tokens to every session, about $0.0042 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.

Related

codex-agent-mem AGENTS.md compared with instructions from other repositories

codex-agent-mem AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
codex-agent-mem AGENTS.mdMarceloCaporale/codex-agent-memInstructions file416mo agoApache-2.0A1,043Codex, OpenCode
repobrain copilot-instructions.mdstudy8677/repobrainInstructions file1.4k14d agoMITA229GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
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vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot