graph-memory: Instructions file for Claude Code

CLAUDE.md

graph-memory CLAUDE.md is an instructions file for Claude Code from stevepridemore/graph-memory. It costs 668 tokens per session, scanned A, original, MIT.

Project instructions for using graph-based memory, which stores people, projects, decisions, and preferences as connected information.

In plain words
What is it for?
Use them when answering questions about prior conversations, people, projects, decisions, or preferences, and when maintaining the project’s graph memory.
Why use it?
They tell the agent when to look up past context and when it is appropriate to save or correct remembered information.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is stevepridemore/graph-memory's own configuration. It tells Claude Code how to work on graph-memory 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 graph-memory configures →

Reuse

Borrowing it

Nothing to install: this file belongs to stevepridemore/graph-memory. 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/stevepridemore/graph-memory/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/stevepridemore/graph-memory

Made for: Claude Code.

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 graph-memory CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/stevepridemore/graph-memory/claude-md/github.svg)](https://agentmods.dev/instructions/stevepridemore/graph-memory/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/stevepridemore/graph-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/stevepridemore/graph-memory/claude-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 graph-memory CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/stevepridemore/graph-memory/claude-md"><img src="https://agentmods.dev/badge/instructions/stevepridemore/graph-memory/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 668 This file is loaded in full into every session.
When invoked 668 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 $0.00668 $0.00668
Opus 5.5 $0.00267 $0.00267
Sonnet 5.5 $0.00134 $0.00134
Haiku 4.5 $0.00067 $0.00067

Measured 9d ago against content hash dddd3aa86163, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

graph-memory CLAUDE.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 9d 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.

CLAUDE.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Graph Memory

You have access to a graph-based memory system via the graph-memory MCP server.

When to consult the graph

  • When the user asks about a person, project, past decision, or preference — call graph_query before answering from general knowledge
  • When the user references something from a previous conversation — the graph likely has context
  • When you're about to write a memory file — check graph_entities first to see if related knowledge already exists
  • When the user starts a new session — consider offering /graph-briefing if the project has graph data

How to use it

  • graph_query for structured lookups (entities, relationships, weights)
  • graph_cypher when you need a custom query (you know the schema — see /graph-ask skill)
  • graph_search when the user's wording may not match an entity name (semantic lookup)
  • graph_alias when the user says two names refer to the same entity
  • graph_boost when the user confirms something you recalled from the graph
  • graph_weaken when the user corrects something the graph got wrong

Writing to the graph during conversation

You MAY write to the graph during conversation for high-confidence, explicit knowledge — but follow these rules:

When to write (call graph_relate)

  • User explicitly states a fact, preference, or decision ("I prefer X", "we decided Y", "Z works for me")
  • User introduces a person, project, or tool by name with clear context
  • User confirms or corrects something you recalled from the graph

When NOT to write (defer to the dream process)

  • Inferred context or things you're guessing from the conversation
  • Casual mentions without clear significance
  • Anything you're not confident about — the dream process will catch it later

Weight guidelines

Origin Weight
Explicit user statement ("I prefer X", "we use Y") 0.7
User confirmed recalled info ("yes, exactly") boost +0.15
Mentioned in context but not stated directly don't write — let dream handle at 0.3

Read the full file on GitHub · 63 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. 9d ago Changed · +2 lines · +36 tokens per session dddd3aa86163
  2. 2mo ago First seen · 61 lines · 632 tokens per session scan A 8c8f16470aa0

Subscribe to this mod's changes

graph-memory CLAUDE.md is an instructions file published in the GitHub repository stevepridemore/graph-memory (2 stars, last pushed 3d ago), licensed MIT. It adds 668 tokens to every session, about $0.0027 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.

Related

graph-memory CLAUDE.md compared with instructions from other repositories

graph-memory CLAUDE.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
graph-memory CLAUDE.mdstevepridemore/graph-memoryInstructions file23d agoMITA668Claude Code
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode