graymatter: Instructions file for Codex

AGENTS.md

graymatter AGENTS.md is an instructions file for Codex, OpenCode from angelnicolasc/graymatter. It costs 1,779 tokens per session, scanned A, original, MIT.

Repository instructions for an AI-agent memory system. The system stores facts, user preferences, and saved work checkpoints so an agent can use them in later sessions.

In plain words
What is it for?
Searching stored memories before answering, recording new facts, reflecting on memory changes, and saving or restoring an agent's work state.
Why use it?
It helps the agent recover relevant past context instead of relying only on the current conversation. It also defines which memory action to use for searching, saving, updating, or resuming information.

Instructions file for CodexOpenCode

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

This is angelnicolasc/graymatter's own configuration. It tells Codex and OpenCode how to work on graymatter 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 graymatter configures →

Reuse

Borrowing it

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

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,779 This file is loaded in full into every session.
When invoked 1,779 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 $0.01779 $0.01779
Opus 5.5 $0.00712 $0.00712
Sonnet 5.5 $0.00356 $0.00356
Haiku 4.5 $0.00178 $0.00178

Measured 18d ago against content hash 0e1ce263244f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

graymatter 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 18d 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 · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

If you're an AI agent (Claude Code, OpenCode, Codex, Cursor, Antigravity, custom MCP client) operating in this repo, read this first. Full operational manual: docs/AGENTS.md.

This repo is a memory system for AI agents. While you work here, you also get to use it: it's wired into your MCP toolbelt as seven tools that persist facts and checkpoints across sessions.

Your tools

Tool Required params Optional
memory_search agent_id, query top_k (default 8), explain (boolean, default false), min_confidence, confidence_weight
memory_search_batch agent_id, queries top_k (default 8), min_confidence, confidence_weight
memory_add agent_id, text confidence
memory_alias agent_id, term, equivalents —
memory_reflect action (add|update|forget|link|pin|unpin), plus at least one explicit valid agent_id (canonical) or agent (deprecated alias; agent_id wins when both are valid) text, target (which one is required depends on action — for forget/pin/unpin, either works)
checkpoint_save agent_id state (JSON-encoded string)
checkpoint_resume agent_id on_missing (enum error|empty, default error)

memory_reflect uses agent_id (canonical since ADR-014). The other six also use agent_id. The deprecated alias agent is still accepted for compatibility; agent_id wins when both are valid. Identity is explicit and required at runtime for both stdio and HTTP. Each supplied identity must be a non-empty string that is not entirely whitespace; an invalid field is rejected even when the other is valid. See the reflect contract.

memory_reflect also accepts confidence for add and update only.

Confidence options

These options are available since v0.20.0 and are absent from v0.19.1. verified, inferred and unverified are the writer's declarations, not verification performed by GrayMatter. An omitted label on add remains legacy inferred; an omitted label on update is the minimum of inferred and the effective confidence of every live target. A revision does not inherit a pin. Generated summaries follow that same conservative rule; facts produced by LLM extraction are unverified. Pin, decay and access tracking preserve labels.

Read the full file on GitHub · 117 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. 18d ago Changed 0e1ce263244f
  2. 22d ago Changed · +62 tokens per session 2ea394f66003
  3. 25d ago Changed · +25 lines · +377 tokens per session 0d6487df855d
  4. 1mo ago Changed · +16 tokens per session cc73eb7c87cc
  5. 1mo ago Changed · +2 lines · +103 tokens per session 2cce1939d8c1
  6. 1mo ago Changed · +17 lines · +220 tokens per session c4180dc49c48
  7. 1mo ago First seen · 73 lines · 1,001 tokens per session scan A c90d6f6b638a

Subscribe to this mod's changes

graymatter AGENTS.md is an instructions file published in the GitHub repository angelnicolasc/graymatter (488 stars, last pushed 18d ago), licensed MIT. It adds 1,779 tokens to every session, about $0.0071 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

Other instructions, from other repositories