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🐙 Promptbook: Invisible AI Agents

Create persistent AI agents that turn your company's scattered knowledge into action - powered by the Agents Server

Promptbook](https://www.npmjs.com/package/promptbook) Promptbook](https://packagequality.com/#?package=promptbook)

🚀 Quick deploy

Run the standalone VPS installer _(for example on DigitalOcean)_ only on a fresh server. Interactive mode asks for the installation values:

Non-interactive mode takes defaults from command-line options. Use --env live, --env preview, --env production, or --env lts to pick the installed environment; the default is preview. When --openai-api-key is provided with the default OpenAI Codex runner, the installer installs and configures Codex automatically; other runner authentication can be configured later from the UI or SSH:

⚠ Warning: This is a pre-release version of the library. It is not yet ready for production use. Please look at latest stable release.

📦 Package @promptbook/node

• Promptbooks are divided into several packages, all are published from single monorepo. • This package @promptbook/node is one part of the promptbook ecosystem.

To install this package, run:

The Node.js package provides Node.js-specific functionality for Promptbook, including filesystem operations, command execution, and automatic provider configuration. It serves as the bridge between Promptbook's core functionality and Node.js runtime capabilities.

🎯 Purpose and Motivation

This package extends Promptbook's core functionality with Node.js-specific features that are essential for server-side and desktop applications. It provides filesystem access, command execution, automatic LLM provider detection, and other Node.js runtime capabilities that enable full-featured Promptbook applications.

🔧 High-Level Functionality

The package provides Node.js-specific integrations and utilities:

• Filesystem Operations: Read promptbooks from directories and manage file-based collections • Automatic Provider Setup: Detect and configure LLM providers from environment variables • Command Execution: Execute system commands and scripts • Knowledge Scraping: Node.js-specific scrapers for various content sources • File-based Storage: Persistent storage using the filesystem • Environment Integration: Seamless integration with Node.js environment and tooling

✨ Key Features

• 📁 Directory-based Collections - Load promptbook collections from filesystem directories • 🔧 Auto-configuration - Automatically detect and configure LLM providers from environment • 💾 File Storage - Persistent caching and storage using the filesystem • 🛠️ Command Execution - Execute system commands and scripts from promptbooks • 🌐 Knowledge Scraping - Scrape content from files, websites, and other sources • 🔌 Provider Detection - Automatically discover available LLM providers • 📊 Executable Management - Manage and execute external tools and scripts • 🚀 Performance Optimization - File-based caching for improved performance

📦 Exported Entities

Version Information

• BOOK_LANGUAGE_VERSION - Current book language version • PROMPTBOOK_ENGINE_VERSION - Current engine version

Collection Management

• createPipelineCollectionFromDirectory - Create promptbook collection from filesystem directory

Provider Configuration

• $provideExecutablesForNode - Provide executable tools for Node.js environment • $provideExecutionToolsForNode - Auto-configure all execution tools from environment • $provideLlmToolsConfigurationFromEnv - Create LLM tools configuration from environment variables • $provideLlmToolsFromEnv - Create LLM tools from environment variables • $provideFilesystemForNode - Provide filesystem access for Node.js • $provideScrapersForNode - Provide knowledge scrapers for Node.js environment • $provideScriptingForNode - Provide scripting capabilities for Node.js

Storage

• FileCacheStorage - File-based cache storage implementation

Command Execution

• $execCommand - Execute single system command • $execCommands - Execute multiple system commands

💡 This package does not make sense on its own, look at all promptbook packages or just install all by npm i ptbk

Rest of the documentation is common for entire promptbook ecosystem:

📖 The Book Whitepaper

Promptbook lets you create persistent AI agents that work on real goals for your company. The Agents Server is the heart of the project - a place where your AI agents live, remember context, collaborate in teams, and get things done.

Nowadays, the biggest challenge for most business applications isn't the raw capabilities of AI models. Large language models such as Claude Mythos, GPT-5.6 or Kimi K2.7 are incredibly capable.

The main challenge lies in managing the context, providing rules and knowledge, and narrowing the personality.

In Promptbook, you define your agents using simple Books - a human-readable language that is explicit, easy to understand and write, reliable, and highly portable. You then deploy them to the Agents Server, where they run persistently and work toward their goals.

Lawyer

GOAL You are a company lawyer. Your job is to provide legal advice and support to the company and its employees. Respond to incoming legal inquiries via email and keep the company website updated with the latest legal policies.

RULE You are knowledgeable, professional, and detail-oriented. KNOWLEDGE https://company.com/company-policies.pdf KNOWLEDGE https://company.com/internal-documents/employee-handbook.docx

TEAM You are part of the legal team of Paul Smith & Associés, you discuss with {Emily White}, the head of the compliance department. {George Brown} is expert in corporate law and {Sophia Black} is expert in labor law.

Aspects of great AI agent

We have created a language called Book, which allows you to write AI agents in their native language and create your own AI persona. Book provides a guide to define all the traits and commitments.…

Description from the npm listing.