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.
curl -O https://raw.githubusercontent.com/MarceloCaporale/codex-agent-mem/main/AGENTS.mdgit clone --depth 1 https://github.com/MarceloCaporale/codex-agent-memWrote 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.
[](https://agentmods.dev/instructions/marcelocaporale/codex-agent-mem/agents-md)<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.
<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>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 | $0.01043 | $0.01043 |
| Opus 5.5 | $0.00417 | $0.00417 |
| Sonnet 5.5 | $0.00209 | $0.00209 |
| Haiku 4.5 | $0.00104 | $0.00104 |
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.
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
notifyonagent-turn-complete - Current inspection surface: local FastAPI UI at
/ui - Current continuity surface: generated
AGENTS.mdworking-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_contextormem_scope_resolvebefore loadingmem_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
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 · 116 lines · 1,043 tokens per session scan A 6b000860e428
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.
codex-agent-mem AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codex-agent-mem AGENTS.mdMarceloCaporale/codex-agent-mem | Instructions file | 41 | 6mo ago | Apache-2.0 | A | 1,043 | Codex, OpenCode |
| repobrain copilot-instructions.mdstudy8677/repobrain | Instructions file | 1.4k | 14d ago | MIT | A | 229 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | 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 |