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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

🚀 Quick deploy

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

sudo curl -fsSL https://raw.githubusercontent.com/webgptorg/promptbook/refs/heads/main/install.sh | bash

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:

sudo curl -fsSL https://raw.githubusercontent.com/webgptorg/promptbook/refs/heads/main/install.sh | bash -s -- \
    --non-interactive \
    --yes-i-understand-that-script-should-be-run-on-fresh-server \
    --env preview \
    --domain my-server.com \
    --openai-api-key sk-proj-xxx \
    --admin-password xxx

<blockquote style="color: #ff8811"> <b>⚠ Warning:</b> This is a pre-release version of the library. It is not yet ready for production use. Please look at <a href="https://www.npmjs.com/package/@promptbook/core?activeTab=versions">latest stable release</a>. </blockquote>

📦 Package @promptbook/deepseek

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

To install this package, run:

# Install entire promptbook ecosystem
npm i ptbk

# Install just this package to save space
npm install @promptbook/deepseek

🐋 Integration with DeepSeek API

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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.

<table style="border: 1px solid #777; border-radius: 10px;"><tr><td>

<ins>Lawyer</ins><br/> <br/> GOAL You are a company lawyer.<br/> Your job is to provide legal advice and support to the company and its employees.<br/> Respond to incoming legal inquiries via email and keep the company website updated with the latest legal policies.<br/> <br/> RULE You are knowledgeable, professional, and detail-oriented.<br/> KNOWLEDGE https://company.com/company-policies.pdf<br/> KNOWLEDGE https://company.com/internal-documents/employee-handbook.docx<br/> <br/> <br/> 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.<br/>

</td></tr></table> <div style="page-break-after: always;"></div>

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.…