amazon-bedrock-agentcore-samples  by awslabs

Accelerate AI agents with Bedrock AgentCore

created 1 month ago
646 stars

Top 51.5% on SourcePulse

GitHubView on GitHub
Project Summary

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

  • Install: Clone the repository.
  • Prerequisites: Python 3.10+, AWS account, Docker or Finch, Jupyter Notebook.
  • Environment Setup: Recommended to use uv for Python environment management. Install dependencies with uv add -r requirements.txt --active. Launch Jupyter Lab with uv run --with jupyter jupyter lab.
  • Links: Contributing Guidelines

Highlighted Details

  • Tutorials cover Runtime, Gateway, Memory, Identity, Tools (Code Interpreter, Browser), and Observability.
  • Use-case examples demonstrate practical applications of AgentCore components.
  • Integration samples show compatibility with Strands Agents, LangChain, and CrewAI.
  • Supports agent-to-agent communication and multi-agent collaboration patterns.

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.

Health Check
Last commit

1 day ago

Responsiveness

Inactive

Pull Requests (30d)
124
Issues (30d)
56
Star History
394 stars in the last 30 days

Explore Similar Projects

Feedback? Help us improve.