# bedrock-agentcore-sdk-python **Repository Path**: mirrors_aws/bedrock-agentcore-sdk-python ## Basic Information - **Project Name**: bedrock-agentcore-sdk-python - **Description**: Python SDK for transforming any AI agent into a production-ready application. Framework-agnostic primitives for runtime, memory, authentication, and tools with AWS-managed infrastructure. - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-07-18 - **Last Updated**: 2026-03-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Bedrock AgentCore SDK

Deploy your local AI agent to Bedrock AgentCore with zero infrastructure

Documentation ◆ Samples ◆ Discord ◆ Boto3 Python SDK ◆ Runtime Python SDK ◆ Starter Toolkit

## Overview Amazon Bedrock AgentCore enables you to deploy and operate highly effective agents securely, at scale using any framework and model. With Amazon Bedrock AgentCore, developers can accelerate AI agents into production with the scale, reliability, and security, critical to real-world deployment. AgentCore provides tools and capabilities to make agents more effective and capable, purpose-built infrastructure to securely scale agents, and controls to operate trustworthy agents. Amazon Bedrock AgentCore services are composable and work with popular open-source frameworks and any model, so you don’t have to choose between open-source flexibility and enterprise-grade security and reliability. ## 🚀 From Local Development to Bedrock AgentCore ```python from bedrock_agentcore import BedrockAgentCoreApp app = BedrockAgentCoreApp() from strands import Agent # or bring your agent. @app.entrypoint async def handler(request): prompt = request.get("prompt") agent = Agent() async for event in agent.stream_async(prompt): yield (event) app.run() ``` **What you get with Bedrock AgentCore:** - ✅ **Keep your agent logic** - Works with Strands, LangGraph, CrewAI, Autogen, or custom frameworks - ✅ **Zero infrastructure management** - No servers, containers, or scaling concerns - ✅ **Enterprise-grade platform** - Built-in auth, memory, observability, security - ✅ **Production-ready deployment** - Reliable, scalable, compliant hosting ## Amazon Bedrock AgentCore services - 🚀 **Runtime** - Secure and session isolated compute: **[Runtime Quick Start](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime-get-started-toolkit.html)** - 🧠 **Memory** - Persistent knowledge across sessions: **[Memory Quick Start](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/memory-get-started.html)** - 🔗 **Gateway** - Transform APIs into MCP tools: **[Gateway Quick Start](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/gateway-quick-start.html)** - 💻 **Code Interpreter** - Secure sandboxed execution: **[Code Interpreter Quick Start](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/code-interpreter-getting-started.html)** - 🌐 **Browser** - Cloud-based web automation: **[Browser Quick Start](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/browser-onboarding.html)** - 📊 **Observability** - OpenTelemetry tracing: **[Observability Quick Start](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/observability-get-started.html)** - 🔐 **Identity** - AWS & third-party auth: **[Identity Quick Start](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/identity-getting-started-cognito.html)** ## AG-UI Protocol Support Deploy agents using the [AG-UI protocol](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime-agui.html) with zero boilerplate. A single `entrypoint` handler is served over both SSE (`POST /invocations`) and WebSocket (`/ws`). ```python from bedrock_agentcore.runtime import serve_ag_ui # Framework agent with a .run() method — one line serve_ag_ui(agui_agent) ``` Or write a custom agent with the decorator form: ```python from bedrock_agentcore.runtime import AGUIApp from ag_ui.core import RunAgentInput, RunStartedEvent, RunFinishedEvent app = AGUIApp() @app.entrypoint async def my_agent(input_data: RunAgentInput): yield RunStartedEvent(thread_id=input_data.thread_id, run_id=input_data.run_id) # ... your agent logic, yield AG-UI events ... yield RunFinishedEvent(thread_id=input_data.thread_id, run_id=input_data.run_id) app.run() ``` Install with: `pip install "bedrock-agentcore[ag-ui]"` See the [AG-UI protocol contract](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime-agui-protocol-contract.html) for full details. ## 🏗️ Deployment **Quick Start:** Use the [Bedrock AgentCore Starter Toolkit](https://github.com/aws/bedrock-agentcore-starter-toolkit) for rapid prototyping. **Production:** [AWS CDK](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_bedrockagentcore-readme.html). ## A2A Protocol Support Serve your agent using the [A2A (Agent-to-Agent) protocol](https://google.github.io/A2A/) on Bedrock AgentCore Runtime. Works with any framework that provides an a2a-sdk `AgentExecutor` (Strands, LangGraph, Google ADK, or custom). ```bash pip install "bedrock-agentcore[a2a]" ``` ```python from strands import Agent from strands.a2a import StrandsA2AExecutor from bedrock_agentcore.runtime import serve_a2a agent = Agent(model="us.anthropic.claude-sonnet-4-20250514", system_prompt="You are a helpful assistant.") serve_a2a(StrandsA2AExecutor(agent)) ``` See [A2A Protocol Examples](docs/examples/a2a_protocol_examples.md) for LangGraph, Google ADK, and advanced usage. ## 📝 License & Contributing - **License:** Apache 2.0 - see [LICENSE.txt](LICENSE.txt) - **Contributing:** See [CONTRIBUTING.md](CONTRIBUTING.md) - **Security:** Report vulnerabilities via [SECURITY.md](SECURITY.md)