Borrowing it
Nothing to install: this file belongs to vstorm-co/memv. 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/vstorm-co/memv/main/CLAUDE.mdgit clone --depth 1 https://github.com/vstorm-co/memvWrote 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/vstorm-co/memv/claude-md)<a href="https://agentmods.dev/instructions/vstorm-co/memv/claude-md"><img src="https://agentmods.dev/badge/instructions/vstorm-co/memv/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.
<a href="https://agentmods.dev/instructions/vstorm-co/memv/claude-md"><img src="https://agentmods.dev/badge/instructions/vstorm-co/memv/claude-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 | $0.01576 | $0.01576 |
| Opus 5.5 | $0.00630 | $0.00630 |
| Sonnet 5.5 | $0.00315 | $0.00315 |
| Haiku 4.5 | $0.00158 | $0.00158 |
Grade A, and why
memv 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
memv is a structured, temporal memory system for AI agents. It extracts and retrieves knowledge from conversations using a predict-calibrate approach (inspired by Nemori): importance emerges from prediction error, not upfront LLM scoring.
PyPI package name: memvee. Import name: memv.
Development Setup
Uses uv for dependency management. Requires Python 3.13.
make install # uv sync + pre-commit hooks
make sync # update deps
Commands
# Quality
make format # ruff format + fix
make lint # ruff check + format check
make typecheck # ty check src/
make all # format + lint + typecheck + test
# Testing
uv run pytest # all tests
uv run pytest tests/test_models.py::test_name # single test
# Docs
make docs # mkdocs build --strict
make docs-serve # local preview
# Pre-commit
uv run pre-commit run --all-files
Pre-commit hooks (ruff-check, ruff-format, ty) run on src/ only.
Architecture
Data Flow
Messages → BatchSegmenter → Episodes → EpisodeGenerator → PredictCalibrateExtractor → SemanticKnowledge
↓
VectorIndex + TextIndex (per type)
↓
Retriever (RRF fusion)
Key Modules (src/memv/)
memory/ — Memory class is the public API. Internally split into:
_api.py: add_message, add_exchange, retrieve, clear_user_lifecycle.py: LifecycleManager (init/open/close, wires all components)_pipeline.py: Pipeline (orchestrates processing stages)_task_manager.py: TaskManager (auto-processing, buffering, background tasks)
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 · 130 lines · 1,576 tokens per session scan A 96823732a2a0
memv CLAUDE.md is an instructions file published in the GitHub repository vstorm-co/memv (91 stars, last pushed 1mo ago), licensed MIT. It adds 1,576 tokens to every session, about $0.0063 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.
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).
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.
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).
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.
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).
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.