Accelerate AI agents with Bedrock AgentCore
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This repository provides experimental and educational samples for Amazon Bedrock AgentCore, a suite of capabilities designed to accelerate the production deployment of AI agents. It targets developers seeking to build, scale, and operate trustworthy AI agents securely, offering flexibility with any agentic framework or LLM.
How It Works
AgentCore is a composable platform offering distinct capabilities: Runtime for secure, serverless agent deployment; Gateway for API/Lambda integration into agent tools; Memory for personalized user experiences; Identity for seamless AWS and third-party access management; built-in Code Interpreter and Browser tools for enhanced agent functionality; and Observability for tracing and monitoring. This modular approach allows developers to integrate specific components as needed, leveraging open-source flexibility with enterprise-grade security.
Quick Start & Requirements
uv
for Python environment management. Install dependencies with uv add -r requirements.txt --active
. Launch Jupyter Lab with uv run --with jupyter jupyter lab
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Maintenance & Community
This repository is actively maintained and updated. Contributions are welcome via GitHub Issues.
Licensing & Compatibility
Licensed under the Apache License 2.0. This license is permissive and generally compatible with commercial and closed-source applications.
Limitations & Caveats
The examples are for experimental and educational purposes only and are not intended for direct production use.
1 day ago
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