As agentic applications move from prototypes to production, teams often struggle with operational plumbing—secure runtimes, tool integration, identity, memory, observability and deployable infrastructure. These samples collect concrete, runnable patterns and end-to-end blueprints that show how to assemble those pieces on Amazon Bedrock AgentCore so you can focus on agent logic instead of reinventing infrastructure.
What Sets It Apart
- Focused on production plumbing, not just demos — includes runtime and gateway examples that show how to expose real APIs and Lambda-backed tools safely to agents, so you can test multi-step, stateful agent workflows beyond chat prompts.
- Framework- and model-agnostic recipes — integration examples for popular agent frameworks (Strands, LangGraph, LlamaIndex, CrewAI, etc.) mean you can keep your preferred agent stack while adopting AgentCore’s managed runtime and tooling.
- Built-in operational pieces — memory, identity, observability, and evaluation notebooks demonstrate practical patterns for personalization, access control, telemetry and continuous quality checks, reducing one-off engineering work.
- Deployment-first artifacts — IaC templates (CloudFormation/CDK/Terraform) and blueprints show how to automate rollout, which shortens the path from local prototype to scaled service.
Who It's For and Tradeoffs
Great fit if you are building multi-tool, multi-step agent applications and want opinionated, production-oriented examples that map to AWS services and Bedrock AgentCore. The repo is especially useful for teams that already plan to run on AWS or need managed runtime/observability primitives.
Look elsewhere if you require a vendor-agnostic playbook with no AWS dependencies—many examples assume Bedrock, AWS identity integrations, and model access (the notebooks reference model access requirements), so projects that must remain cloud-neutral or run entirely on-prem may need to adapt the patterns or extract the architecture without the AWS-specific integrations.
Where It Fits
This collection sits between framework docs and full product SDKs: it doesn’t replace an agent framework, but it supplies the operational scaffolding (runtime, gateway, policy, memory, evaluation) that production agent systems need. Use it to accelerate productionization when your architecture can accept AWS-managed components.
