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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/browser

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

To install this package, run:

The browser package provides browser-specific functionality for Promptbook, including localStorage integration, IndexedDB storage, and browser-compatible scrapers. It enables Promptbook to run efficiently in web browser environments.

🎯 Purpose and Motivation

This package extends Promptbook's core functionality with browser-specific features that are essential for web applications. It provides browser storage APIs, user interface tools, and browser-compatible scrapers that enable full-featured Promptbook applications in web environments.

🔧 High-Level Functionality

The package provides browser-specific integrations and utilities: • Browser Storage: Integration with localStorage, sessionStorage, and IndexedDB • User Interface Tools: Simple prompt interface for browser interactions • Browser Scrapers: Browser-compatible content scrapers • Web Compatibility: Ensures Promptbook works seamlessly in browser environments • Client-side Caching: Efficient caching using browser storage APIs

✨ Key Features

• 💾 Multiple Storage Options - Support for localStorage, sessionStorage, and IndexedDB • 🌐 Browser-native APIs - Leverage browser-specific capabilities and storage • 🎨 Simple UI Tools - Basic interface tools for browser-based interactions • 📱 Cross-browser Compatibility - Works across modern web browsers • 🔒 Client-side Security - Secure storage and execution in browser sandbox • ⚡ Performance Optimized - Efficient storage and caching for web applications • 🛠️ Web Scrapers - Browser-compatible content scraping capabilities

📦 Exported Entities

Version Information

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

User Interface Tools

• SimplePromptInterfaceTools - Simple prompt interface for browser interactions

Browser Scrapers

• $provideScrapersForBrowser - Provide browser-compatible knowledge scrapers

Storage APIs

• getIndexedDbStorage - Get IndexedDB storage implementation • getLocalStorage - Get localStorage storage implementation • getSessionStorage - Get sessionStorage storage implementation

💡 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.

You can look at it as "prompting" _(or writing a system message)_, but decorated by commitments.

Commitments are special syntax elements that define contracts between you and the AI agent. They are transformed by Promptbook Engine into low-level parameters like which model to use, its temperature, system message, RAG index, MCP servers, and many other parameters. For some commitments _(for example RULE commitment)_ Promptbook Engine can even create adversary agents and extra checks to enforce the rules.

Persona commitment

Personas define the character of your AI persona, its role, and how it should interact with users. It sets the tone and style of communication.

Paul Smith & Associés

PERSONA You are a company lawyer. Your job is to provide legal advice and support to the company and its employees.…

Description from the npm listing.