icm: Instructions file for Claude Code

CLAUDE.md

icm CLAUDE.md is an instructions file for Claude Code from rtk-ai/icm. It costs 5,841 tokens per session, scanned A, original, Apache-2.0.

Project instructions for ICM, a Rust system that gives language models long-term memory through stored and searchable notes.

In plain words
What is it for?
Use them when developing ICM’s Rust workspace, its SQLite or Turso storage, vector search, memory handling, command-line interface, or MCP connection.
Why use it?
They explain the project’s structure, technology choices, data storage, and integration points so coding work fits the existing design.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code.

This is rtk-ai/icm's own configuration. It tells Claude Code how to work on icm 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 icm configures →

View source ↗ rtk-ai/icm
Reuse

Borrowing it

Nothing to install: this file belongs to rtk-ai/icm. 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/rtk-ai/icm/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/rtk-ai/icm

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 icm CLAUDE.md

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

Your own site · 80×15
<a href="https://agentmods.dev/instructions/rtk-ai/icm/claude-md"><img src="https://agentmods.dev/badge/instructions/rtk-ai/icm/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 5,841 This file is loaded in full into every session.
When invoked 5,841 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 $0.05841 $0.05841
Opus 5.5 $0.02336 $0.02336
Sonnet 5.5 $0.01168 $0.01168
Haiku 4.5 $0.00584 $0.00584

Measured 1mo ago against content hash 75a5a7d4de3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

icm 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 1mo 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 · 761 lines

How it starts

The opening of the file, as written. The whole thing — 761 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Projet: ICM (Infinite Context Memory)

Un système de mémoire persistante pour LLMs, écrit en Rust, avec support MCP pour intégration Claude Code.

Objectif

Créer une mémoire long-terme intelligente qui:

  1. Stocke des memories avec embeddings dans Turso/SQLite
  2. Fait du retrieval hybride (BM25 + vector similarity)
  3. Gère le decay temporel et la consolidation
  4. Expose un serveur MCP pour que Claude Code puisse stocker/récupérer des souvenirs

Stack technique

  • Rust (edition 2021)
  • Turso/libsql pour le storage
  • sqlite-vec pour les embeddings vectoriels
  • tokio pour l'async
  • serde pour la serialization
  • clap pour le CLI
  • MCP SDK Rust (ou implémentation manuelle du protocole JSON-RPC)

Structure du workspace

icm/
├── Cargo.toml (workspace)
├── crates/
│   ├── icm-core/             # Types et traits fondamentaux
│   │   ├── Cargo.toml
│   │   └── src/
│   │       ├── lib.rs
│   │       ├── memory.rs     # Struct Memory, Importance, MemorySource
│   │       ├── store.rs      # Trait MemoryStore
│   │       └── embedder.rs   # Trait Embedder
│   │
│   ├── icm-store-turso/      # Implémentation Turso du store
│   │   ├── Cargo.toml
│   │   └── src/
│   │       ├── lib.rs
│   │       ├── turso.rs      # TursoStore impl MemoryStore
│   │       └── migrations.rs # Schema SQL
│   │
│   ├── icm-retriever/        # Recherche hybride
│   │   ├── Cargo.toml
│   │   └── src/
│   │       ├── lib.rs
│   │       ├── hybrid.rs     # HybridRetriever (BM25 + vector)
│   │       └── reranker.rs   # Reranking optionnel
│   │
│   ├── icm-extractor/        # Extraction de memories depuis du texte
│   │   ├── Cargo.toml
│   │   └── src/
│   │       ├── lib.rs
│   │       └── llm.rs        # Appel LLM pour extraire facts/summaries
│   │
│   ├── icm-mcp/              # Serveur MCP pour Claude Code
│   │   ├── Cargo.toml
│   │   └── src/
│   │       ├── main.rs
│   │       ├── tools.rs      # icm_store, icm_recall, icm_forget
│   │       └── protocol.rs   # JSON-RPC MCP handling
│   │
│   └── icm-cli/              # CLI standalone
│       ├── Cargo.toml
│       └── src/
│           └── main.rs       # Commands: store, recall, consolidate, prune
│
├── config/
│   └── default.toml          # Config par défaut
│
└── README.md

Read the full file on GitHub · 761 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. 1mo ago First seen · 761 lines · 5,841 tokens per session scan A 75a5a7d4de3a

Subscribe to this mod's changes

icm CLAUDE.md is an instructions file published in the GitHub repository rtk-ai/icm (598 stars, last pushed today), licensed Apache-2.0. It adds 5,841 tokens to every session, about $0.0234 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

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,715 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,786 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens

deno copilot-instructions.md

Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.

denoland/deno · 3,077 tokens