#284 · Primary category: AI Agents & Automation
agentcore-samples
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Project last updated:08/28/26
GitHub Stars
3.3K
Forks
1.3K
Contributors
208
License
Apache-2.0
Why we included this project
The agent systems people actually run in production have more moving parts than a single chat loop, and this repo is a working catalog of those parts. It is a set of runnable samples for AgentCore, Amazon Bedrock's managed agent runtime, aimed at teams building with LangGraph, CrewAI, LlamaIndex, Strands, or their own stack. The examples cover the pieces that trip people up once a demo turns into a deployment: identity and access control, managed memory, turning APIs into MCP-compatible tools, and OpenTelemetry-based observability. The getting-started exercises run through the AgentCore CLI, while feature folders, end-to-end applications, and infrastructure-as-code templates show how an agent slots into a real AWS stack. If you are moving an agent out of a notebook and onto AWS infrastructure, this is a practical map of what the managed runtime handles for you and which parts you still wire up yourself.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
hermes-agent
The agent that grows with you
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
deepseek-harness
DeepSeek Harness: Everything is a Plugin.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.