AI Agent Starter Pack built with AgentCore
Tech 42 · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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).
Show the rest of the publisher’s description (26 more lines)
**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
Highlighted by the publisher on AWS Marketplace.
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)
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Refund terms
As stated by the publisher on AWS Marketplace.
Product is free of charge.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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