Sold by: Tech 42
Deployed on AWS
Free, open-source starter pack to deploy a production-ready AI agent in minutes, not weeks. Pre-configured with Claude Haiku 4.5, web search, and code execution. Perfect for CEOs or technical teams building agentic AI solutions.
5
Overview
Skip the learning curve and deploy a fully-functional AI agent directly into your AWS account with a few clicks. This AgentCore template includes everything needed to start building production agent workflows immediately, and our comprehensive deployment guide and video make the setup easy.
The deployment provides a working agent powered by Claude Sonnet 4.5. The base package includes agent memory and built-in tools for web search, code execution, and guardrails. The agent can easily be extended to incorporate additional tools like knowledge bases, MCP servers, and observability (instructions included).
Non-technical users can experiment with agent behavior through the AWS Agent sandbox web interface by simply adjusting prompts, and we provide sample prompts for testing all of the base agent use cases. Technical teams get a production-grade foundation built on infrastructure-as-code principles, complete with DynamoDB conversation memory, Lambda functions, and API Gateway integration.
The starter pack currently supports the Strands agent framework. LangGraph and CrewAI are supported by the AgentCore product and are coming soon to this Starter Pack. All infrastructure deploys via CloudFormation, giving you rapid deployment and full visibility and control.
The included deployment guide and free training video help you customize the base template for your specific use case, including adding a knowledge base and setting up observability through AWS Services or Langfuse.
Included in this product:
- Open source code repo
- Scalable architecture
- Agent memory
- Web browser tooling
- Code interpreter tooling
- Base guardrails (customizable)
- Instructions for setting up a custom knowledge base
- Instructions for observability setup (ADOT or Langfuse)
- Sample code for connecting to MCP
- Instructions for AWS testing in the AWS console
- Sample notebook for advanced testing
- Complete agent schema documentation
Why we built this: Our team has deployed many production agents, and moving from proof-of-concept to production can be a complex process. Builders need to:
- Package the agent
- Manage short and long term memory
- Manage Inbound and Outbound Access
- Connect the agent to tools, ideally in a standard format
- Set up robust monitoring on the agent process
- And more, like knowledge bases, MCP, and systems integration
We set out to help companies deploy agents faster. Our team has scoured the web and AWS resources to pull together everything you need for an AI agent that's built to scale. The essential building blocks and instructions are all included in this starter pack so you can get building and scale faster.
Need more agentic tools? If you need support with additional agentic tools like custom MCP servers, access rules, or more, our team is here to help. We specialize in AL and ML workloads and can help you build for success.
Highlights
- CloudFormation deployment with Claude Haiku 4.5 (adjustable), memory, web search, and code interpreter pre-configured (plus instructions for knowledge base and observability setup)
- Complete AWS console testing instructions for non-technical users to easily test and modify agent behavior (plus technical notebook for advanced testing)
- Open-source project with production-ready infrastructure that includes conversation memory, multiple framework support (Strands included, LangGraph and CrewAI supported in AgentCore)
Details
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Delivery method
Type
Supported services
Delivery option
Agentcore
Latest version
Operating system
Linux
Deployed on AWS
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Financing for AWS Marketplace purchases
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Product is free of charge.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Agentcore
Supported services: Learn more
- Amazon Bedrock AgentCore
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Deliverey options update
Additional details
Usage instructions
See deployment guide: https://www.tech42consulting.com/guides/agentcore-starter-pack-user-guide
Support
Vendor support
Contact us at support@tech42consulting.com or visit our website at tech42consulting.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Nathan Prince
AI foundation has accelerated deployment of internal knowledge agents on existing cloud infrastructure
Reviewed on Feb 25, 2026
Review from a verified AWS customer
What is our primary use case?
I am exploring creating AI agents for multiple internal company knowledge repositories.
How has it helped my organization?
This product significantly accelerated our ability to deploy an AI agent within our AWS infrastructure.
What is most valuable?
Instead of spending time designing architecture, wiring up memory, guardrails, and tool integrations, I was able to establish an AI foundation in a matter of hours.
What needs improvement?
It would be nice to be able to run the CloudFormation stacks in other AWS regions.
For how long have I used the solution?
I have used the solution for the past week.
Which solution did I use previously and why did I switch?
We have experimented with many GPT-style agents, but Tech 42's AI pack provides a significant number of additional features.
What's my experience with pricing, setup cost, and licensing?
There is no upfront cost for the product, and expenses are limited to pay-as-you-go AWS infrastructure and AI model consumption.
Which other solutions did I evaluate?
We tried out Amazon Q but found this Tech 42's product to be much easier to get off the ground with.
What other advice do I have?
I suggest trying it out because it's a great product. It is very easy to get running, and the test examples they provide on their Github repo are great.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer2801283
Exploring AI agents has accelerated prototyping with guardrails and custom knowledge bases
Reviewed on Feb 05, 2026
Review from a verified AWS customer
What is our primary use case?
I am exploring AI agent capabilities.
How has it helped my organization?
I am still exploring agentic capabilities, but this dramatically improves the speed of the process.
What is most valuable?
The product includes many components needed for a reliable and production-ready agent, especially guardrails and tools. The instructions for setting up a custom knowledge base are also helpful for customizing the agent to relevant use cases. The instructions are clear and easy to follow.
What needs improvement?
Additional frameworks would be good to add.
For how long have I used the solution?
I have used the solution for one month.
Which solution did I use previously and why did I switch?
I did not use any previous product.
What's my experience with pricing, setup cost, and licensing?
The notes in the guide about pricing are helpful.
Which other solutions did I evaluate?
I did not evaluate any previous product.
What other advice do I have?
This is an extremely easy way to start with an AI agent that includes components necessary for production-ready use. The console testing is straightforward, and the Jupyter notebook includes helpful starter code.