toolnet-memory: Instructions file for Claude Code

CLAUDE.md

toolnet-memory CLAUDE.md is an instructions file for Claude Code from LBT-AI/toolnet-memory. It costs 482 tokens per session, scanned A, a copy of toolnet-memory AGENTS.md, MIT.

Repository instructions for ToolNet Memory, a command-line tool and runtime that stores reusable context for coding agents. They define how memory, project isolation, storage, and agent integrations should work.

In plain words
What is it for?
Use them when developing or modifying ToolNet Memory, its memory storage, or its integrations with Codex, OpenCode, Claude-compatible agents, and other supported agents.
Why use it?
They reduce the risk of leaking secrets, mixing projects, injecting too much context, or making changes without checking the current source.

Instructions file for Claude Code

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

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

Reuse

Borrowing it

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

Made for: Claude Code.

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Per session 482 This file is loaded in full into every session.
When invoked 482 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 100% copy Near-identical to another mod 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 $0.00482 $0.00482
Opus 5.5 $0.00193 $0.00193
Sonnet 5.5 $0.00096 $0.00096
Haiku 4.5 $0.00048 $0.00048

Measured 2mo ago against content hash e5325a84a4fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

toolnet-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 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.

Origin

This is a copy

100% identical to toolnet-memory AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 92 lines

What it actually says

ToolNet Memory — Repository Instructions

This repository contains the ToolNet Memory CLI and runtime.

Working principles

  • Read the current source before making changes.
  • Keep ToolNet Memory project-agnostic. Never hardcode a specific user's project path.
  • Fast startup context must remain local, small, and bounded.
  • Do not automatically run deep recovery commands during agent startup.
  • Do not inject raw transcripts into normal prompts.
  • Durable memory must be filtered, deduplicated, sanitized, and selectively promoted.
  • Never expose credentials, API keys, tokens, passwords, or .env values.
  • Preserve project isolation through .toolnet/project.json.
  • Storage providers must remain pluggable: R2, generic S3, local, and legacy Hugging Face S3.
  • Changes to agent integrations must respect the native mechanism of each agent.

Agent integration model

  • Agy / Antigravity: native hooks and fast context injection.
  • Codex: MCP and project instructions.
  • OpenCode: native integration/plugin mechanisms.
  • Claude-compatible agents: repository instruction files where supported.

All adapters should use the same ToolNet context and memory core rather than duplicating project logic.

Context policy

Normal startup:

minimal context → project rules → current work → small token budget

Do not automatically run:

toolnet-memory session:agy-recover toolnet-memory session:codex-recover toolnet-memory session:opencode-recover toolnet-memory handoff:latest toolnet-memory brief

Those are manual/deep-recovery operations.

Session memory policy

Keep:

  • project rules,
  • technical decisions,
  • architecture decisions,
  • important files changed,
  • confirmed fixes,
  • blockers,
  • deployment rules,
  • next actions.

Discard or heavily filter:

  • system messages,
  • ephemeral messages,
  • reasoning/tool logs,
  • progress output,
  • npm noise,
  • repeated terminal output,
  • duplicate facts,
  • secrets.

Quality checks

Before committing code changes, run:

npm run lint npm run format:check npm run typecheck npm test npm run build:release

Do not claim completion if these checks fail.

Releases

Never republish an existing npm version.

Before publishing:

npm view toolnet-memory@latest version node -p "require('./package.json').version"

If the version already exists on npm, bump the package version first.

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 · 92 lines · 482 tokens per session scan A e5325a84a4fe

Subscribe to this mod's changes

toolnet-memory CLAUDE.md is an instructions file published in the GitHub repository LBT-AI/toolnet-memory (5 stars, last pushed 1mo ago), licensed MIT. It adds 482 tokens to every session, about $0.0019 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to toolnet-memory AGENTS.md, differing in 0 lines, and is treated as a copy.

Related

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

toolnet-memory CLAUDE.md next to 6 instructions from other repositories
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toolnet-memory CLAUDE.mdLBT-AI/toolnet-memoryInstructions file51mo agoMITA482Claude Code
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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode