What is agent-library CLAUDE.md?

Project instructions for Agent Library, a knowledge library for AI agents that stores and searches text, code, images, and PDF files. They explain the project's names, technologies, and current development status.

Use them when developing or reviewing Agent Library, especially code involving its Python module, MCP server, search system, or stored media.

They reduce confusion about which names belong in documentation and which belong in code. They also give contributors the project context needed to make compatible changes.

How arcadeai-labs/agent-library configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to arcadeai-labs/agent-library. 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/arcadeai-labs/agent-library/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/arcadeai-labs/agent-library

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/arcadeai-labs/agent-library/claude-md/github.svg)](https://agentmods.dev/instructions/arcadeai-labs/agent-library/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/arcadeai-labs/agent-library/claude-md"><img src="https://agentmods.dev/badge/instructions/arcadeai-labs/agent-library/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/arcadeai-labs/agent-library/claude-md"><img src="https://agentmods.dev/badge/instructions/arcadeai-labs/agent-library/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 4,612 This file is loaded in full into every session.

When invoked 4,612 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.

Model	Per session	Once invoked
Fable 5.1	$0.04612	$0.04612
Opus 5.5	$0.01845	$0.01845
Sonnet 5.5	$0.00922	$0.00922
Haiku 4.5	$0.00461	$0.00461

Measured 2mo ago against content hash ed7d8e0ad540, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-library 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.

CLAUDE.md · 527 lines

How it starts

The opening of the file, as written. The whole thing — 527 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

Agent Library (package name: agent-library, Python module: librarian) is a multi-modal knowledge library for AI agents built on Arcade for the Model Context Protocol (MCP). It provides persistent storage with semantic and keyword search for text, code, images, and PDFs.

Naming note for contributors: The product is "Agent Library." The Python module path is librarian (don't rename — it's the import surface). The MCP server identifies itself as Librarian (MCPApp(name="Librarian") in server.py), which is why exposed tools carry the Librarian_ prefix. Keep that distinction in mind: prose says "Agent Library"; code-level identifiers say "librarian"/"Librarian".

Key Technologies

SQLite with sqlite-vec for vector search
FTS5 with BM25 ranking for full-text search
Hybrid search combining both approaches with Max Marginal Relevance (MMR)
Configurable embedding models (local sentence-transformers or OpenAI-compatible API)
Support for multi-modal assets (text, code, images, PDFs)

Current Status

Multi-Modal Support Complete: Code, PDF, and image parsing with asset type preservation
Parser Registry: Automatic parser selection based on file extension
Database Schema: Multi-modal columns (asset_type, modality_data) fully implemented
Search Integration: All search tools return asset_type to AI agents
See IMPLEMENTATION_STATUS.md for detailed progress tracking
See MULTI_MODAL_LIBRARIAN_DESIGN.md for complete design specification

Development Commands

Setup & Installation

./setup.sh              # Initial setup
make install            # Install base dependencies
make sync               # Sync dependencies from pyproject.toml

# Install optional multi-modal dependencies
uv pip install -e ".[pdf]"      # PDF processing (pypdf)
uv pip install -e ".[vision]"   # Image processing (Pillow)
uv pip install -e ".[all]"      # All multi-modal features

Read the full file on GitHub · 527 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.

2mo ago First seen · 527 lines · 4,612 tokens per session scan A ed7d8e0ad540

Subscribe to this mod's changes

agent-library CLAUDE.md is an instructions file published in the GitHub repository arcadeai-labs/agent-library (33 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 4,612 tokens to every session, about $0.0184 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.

agent agentic-ai agents arcade arcadeai context

agent-library CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agent-library CLAUDE.mdarcadeai-labs/agent-library	Instructions file	33	1mo ago	Apache-2.0	A	4,612	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

agent-library: Instructions file for Claude Code