An open API service indexing awesome lists of open source software.

https://github.com/aws/bedrock-agentcore-sdk-python

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.
https://github.com/aws/bedrock-agentcore-sdk-python

Last synced: 3 months ago
JSON representation

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.

Awesome Lists containing this project

README

          




image


Bedrock AgentCore SDK


Deploy your local AI agent to Bedrock AgentCore with zero infrastructure


GitHub commit activity
GitHub open issues
GitHub open pull requests
License
PyPI version
Python versions


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)