🍋

🍋 AgentCore Pricing Simplified Like a Lemonade Stand

If you've ever run a lemonade stand, you already understand AgentCore pricing.

You pay for:

  • 🍋 Lemons you use (CPU)
  • 🥤 Cups you serve (Memory)
  • 🏪 The space you rent (Runtime)
  • 👥 Optional helpers you hire (Gateway, Browser, etc.)

🎯 The Golden Rule

No fixed rent. No penalty for being idle. If no one buys lemonade, you pay nothing. 🍋

That's exactly how AWS AgentCore pricing works — pay only for what you use, per second, with zero upfront commitment.

⚙️ 1. Runtime — Pay Per CPU & Memory

Runtime = renting your AI's brain by the second.

💡 Example Calculation

If your agent uses:

  • 1 vCPU for 18 seconds and
  • 2 GB memory for 60 seconds

You'll pay:

CPU $0.0895/hour = $0.0004475
Memory $0.00945/hour = $0.000315
Total per session $0.0007625

💡 Analogy: Like paying only for the minutes you use your treadmill at the gym — not for the hours it's idle.

🌐 2. Browser — Pay for Cloud Browsing Power

Browser = a virtual window to the world. You pay per second of CPU and memory just like Runtime.

💡 Real-World Example

Travel Booking Agent

100K travel booking sessions per month

$1,226/month

Cheaper than running 100K headless browsers yourself

🧮 3. Code Interpreter — Pay for Code Execution Time

This is your AI's lab. It runs small pieces of code on demand. For example, analyzing CSV data or generating graphs.

💡 Example Usage

30K Python code executions
= $109/month

🛠 4. Gateway — Pay Per API Call

You pay for:

$0.005
per 1,000 API calls
$0.025
per 1,000 searches
$0.02
per 100 tools indexed per month

💡 HR Agent Example

200M tool calls
50M searches
Total = $2,250/month

🖼 Pricing Overview

AgentCore Pricing Overview Diagram

🔑 5. Identity — Pay Per Token (Only If Used Alone)

If your agent requests 150K access tokens

150K × $0.010/1,000 = $1.50/month

💡 Note: Identity is free when used via Runtime or Gateway.

🧠 6. Memory — Pay for What Your Agent Remembers

📝

Short-term memory

(temporary notes)

$0.25 per 1,000 events
📚

Long-term memory

(stored insights)

$0.75 per 1,000 memories
🔍

Retrieval

(when reading past info)

$0.50 per 1,000 reads

💡 Personalized Coding Agent Example

AI coding assistant that remembers your preferences, past projects, and coding patterns

$42.50/month

🖼 Visual Concept

🧠
📝 📝 📝
📚 📚

Cartoon brain storing small sticky notes (short-term)
and big books (long-term)

🔍 7. Observability — Pay for Data Logged

You pay per GB of logs stored in CloudWatch. Roughly:

$0.35/GB for traces
$0.50/GB for logs

💡 Large Financial Agent Example

Financial trading agent generating 10 TB logs per month

$6,500/month

🪙 Bonus Tip: Starting November 1, 2025

Network data transfer (EC2 standard rates) will apply for Runtime, Gateway, Browser, and Code Interpreter.

📊 Cost Comparison: Traditional vs AgentCore

Component Traditional Approach AgentCore Savings
Server Management $500-2000/month $0 (serverless) 100%
Security & Auth $200-800/month $1.50/month 99%
Monitoring $100-400/month $35-350/month 65%
Development Time 3-6 months 1-2 weeks 90%

🧮 Quick Pricing Calculator

Estimated Monthly Cost

Runtime: $75
Gateway: $0.25
Total: $75.25

💡 Cost Optimization Tips

Optimize Runtime

  • Cache frequently used data
  • Minimize processing time
  • Use appropriate memory sizes
🔧

Smart Tool Usage

  • Batch API calls when possible
  • Use tool indexing efficiently
  • Implement smart caching
🧠

Memory Management

  • Clean up old memories
  • Use short-term for temporary data
  • Optimize retrieval patterns
📊

Monitor Usage

  • Set up cost alerts
  • Review logs regularly
  • Track performance metrics

🌟 Closing Thoughts

"AgentCore is the nervous system of Agentic AI."

With serverless runtime, pay-as-you-go pricing, and modular components, AgentCore lets every builder — from indie developers to enterprises — create autonomous, intelligent agents that can truly think, act, and remember.

Whether you're 5 or 55, the magic of AgentCore is the same:

It's how AWS gave AI agents a heartbeat.

🚀 What's Next?

Now you understand the pricing, but how does AgentCore actually work under the hood? What makes it so powerful and flexible?

In Part 4, we'll lift the hood and explore the engine room — the technical architecture, design patterns, and engineering decisions that make AgentCore possible.

Continue to Part 4: Deep Dive →