bedrock-agentcore-sdk-python  by aws

Deploy AI agents to production with a framework-agnostic Python SDK

Created 9 months ago
677 stars

Top 49.9% on SourcePulse

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Project Summary

This SDK enables developers to deploy AI agents built with any framework to AWS Bedrock AgentCore, offering a production-ready, AWS-managed platform. It addresses the challenge of scaling and securing AI agents by abstracting infrastructure management, providing built-in enterprise-grade features, and accelerating deployment from local development to reliable, compliant hosting.

How It Works

The Bedrock AgentCore SDK provides framework-agnostic primitives for runtime, memory, authentication, and tools, allowing developers to integrate their existing agent logic (e.g., Strands, LangGraph, CrewAI, Autogen) seamlessly. It leverages AWS-managed infrastructure, eliminating the need for developers to manage servers, containers, or scaling concerns. This approach offers a composable, enterprise-grade platform with built-in security, observability, and compliance, combining open-source flexibility with AWS reliability for production deployments.

Quick Start & Requirements

  • Installation: Install via pip: pip install "bedrock-agentcore[ag-ui]" or pip install "bedrock-agentcore[a2a]".
  • Prerequisites: Python. Agent logic requires compatible frameworks (Strands, LangGraph, etc.).
  • Resources: Documentation, Samples, Discord, Boto3 Python SDK, Runtime Python SDK, Starter Toolkit, AG-UI Protocol Contract, A2A Protocol Examples are referenced.

Highlighted Details

  • Framework Agnostic: Supports Strands, LangGraph, CrewAI, Autogen, and custom agent frameworks.
  • Zero Infrastructure Management: Eliminates server, container, and scaling concerns.
  • Enterprise-Grade Platform: Includes built-in authentication, memory, observability, and security features.
  • Production Deployment: Offers reliable, scalable, and compliant hosting.
  • Protocol Support: Integrates with AG-UI and A2A protocols for agent-to-agent communication and standardized interfaces.

Maintenance & Community

  • Community: A Discord server is available for support and discussion.
  • Contribution: Guidelines are provided in CONTRIBUTING.md.
  • Security: Vulnerability reporting is detailed in SECURITY.md.

Licensing & Compatibility

  • License: Apache 2.0.
  • Compatibility: The Apache 2.0 license generally permits commercial use and integration with closed-source projects without significant restrictions.

Limitations & Caveats

No explicit limitations or caveats are detailed in the provided README content.

Health Check
Last Commit

5 days ago

Responsiveness

Inactive

Pull Requests (30d)
77
Issues (30d)
20
Star History
25 stars in the last 30 days

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