Templates

20 ready-to-run agent templates. Each is a standalone project that uses OpenSentinel as a library. Clone, add your API key, and run.

Overview

Templates are the fastest way to go from zero to a working AI agent. Each template is a standalone project under 200 lines that demonstrates a specific use case. They serve as both acquisition channels (discover OpenSentinel through a use case you care about) and starting points for custom agents.

20 templates covering sales, recruiting, DevOps, trading, support, content, security, and more
Each template is a complete, runnable project with its own package.json and README
Uses opensentinel as an NPM dependency — all the power, none of the complexity
Clone, add your API key, and run in under 60 seconds

⚡

No database required. Templates use OpenSentinel in library mode by default. They need only a CLAUDE_API_KEY. Add a DATABASE_URL if you want persistent memory.

Quick Start

Pick any template and have it running in four commands:

Terminal

$ git clone https://github.com/dsiemon2/OpenSentinel.git
$ cd OpenSentinel/templates/ai-sales-agent
$ bun install
$ CLAUDE_API_KEY=sk-ant-... bun run start

✅

That's it. The agent is now running. Replace ai-sales-agent with any template name from the list below.

Full Template List

All 20 templates with descriptions and key features:

Template	Description	Key Features
`ai-web-monitor`	Monitor web pages for changes with intelligent alerts	URL tracking, diff detection, smart notifications
`ai-sales-agent`	Lead research, scoring, and outreach drafting	Company research, lead scoring, email drafts
`ai-recruiter`	Candidate screening, ranking, and interview prep	Resume parsing, skill matching, interview questions
`ai-devops-agent`	Server monitoring, log analysis, incident response	Log parsing, alerting, runbook execution
`ai-trading-researcher`	Market research, sentiment scoring, trend detection	News analysis, price tracking, sentiment scoring
`ai-customer-support`	Ticket triage, response drafting, escalation	Auto-categorize, draft replies, SLA tracking
`ai-content-creator`	Multi-platform content from a single brief	Blog posts, tweets, LinkedIn, email newsletters
`ai-security-monitor`	Auth log analysis, network audit, file integrity	Failed login detection, port scanning, hash checks
`ai-code-reviewer`	PR review, bug detection, test coverage	Line-by-line review, security flags, suggestions
`ai-data-analyst`	Dataset profiling, insights, anomaly detection	CSV/JSON parsing, statistical analysis, charts
`ai-email-assistant`	Inbox triage, reply drafting, action extraction	Priority sorting, draft replies, calendar parsing
`ai-meeting-assistant`	Transcript summaries, action items, weekly digests	Meeting notes, task extraction, follow-up tracking
`ai-competitor-tracker`	Product monitoring, pricing changes, hiring signals	Website monitoring, price alerts, job board tracking
`ai-seo-optimizer`	Page scoring, meta optimization, content outlines	SEO audit, keyword analysis, meta tag generation
`ai-legal-reviewer`	Contract review, risk flagging, amendments	Clause analysis, risk scoring, redline suggestions
`ai-social-listener`	Brand monitoring, sentiment, trend detection	Mention tracking, sentiment analysis, trend alerts
`ai-documentation-writer`	Auto-generate API refs, guides, changelogs	Code analysis, JSDoc parsing, markdown generation
`ai-onboarding-agent`	Personalized onboarding plans, Q&A, tracking	Custom checklists, progress tracking, FAQ answers
`ai-inventory-manager`	Stock tracking, demand forecasting, PO generation	Inventory levels, reorder alerts, purchase orders
`ai-real-estate-analyst`	Property analysis, market research, ROI estimation	Comps analysis, rental yield, market trends

Creating Your Own Template

Build a custom agent in four steps:

Copy an existing template

Start from the template closest to your use case:

Terminal

$ cp -r templates/ai-sales-agent templates/my-custom-agent
$ cd templates/my-custom-agent

Install OpenSentinel as a dependency

Terminal

$ bun add opensentinel

Configure and write your agent logic

Edit index.ts with your custom system prompt and tool usage:

index.ts

import { configure, chatWithTools } from 'opensentinel';

configure({
  CLAUDE_API_KEY: process.env.CLAUDE_API_KEY,
});

const systemPrompt = `You are a specialized AI agent for [your use case].
Your responsibilities:
1. [Task one]
2. [Task two]
3. [Task three]`;

const result = await chatWithTools([
  { role: 'system', content: systemPrompt },
  { role: 'user', content: 'Start your first task' }
]);

console.log(result.text);

Run your agent

Terminal

$ CLAUDE_API_KEY=sk-ant-... bun run start

💡

Use chatWithTools() for full power. This gives your agent access to all 123 built-in tools: shell execution, web browsing, file operations, search, code analysis, and more. The AI decides which tools to use based on the task.

Template Structure

Every template follows the same minimal structure:

File Tree

templates/ai-sales-agent/
index.ts          # Main agent logic (under 200 lines)
package.json      # Dependencies (opensentinel + any extras)
README.md         # Usage docs, configuration, examples

index.ts

The main file contains the agent's system prompt, configuration, and core loop. It imports configure and chatWithTools from opensentinel and defines the agent's behavior in a single file.

package.json

Minimal dependencies. Every template lists opensentinel as its primary dependency, plus any use-case-specific packages (e.g., a CSV parser for the data analyst template).

package.json

{
  "name": "ai-sales-agent",
  "version": "1.0.0",
  "scripts": {
    "start": "bun run index.ts"
  },
  "dependencies": {
    "opensentinel": "latest"
  }
}

README.md

Each template includes documentation covering what the agent does, how to configure it, example conversations, and ideas for customization.

ℹ️

Templates are starting points, not limits. Feel free to add persistent memory (DATABASE_URL), connect messaging channels (TELEGRAM_BOT_TOKEN), or add integrations. A template can grow into a full OpenSentinel deployment.

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