Skip to main content

A starter toolkit for using Bedrock AgentCore

Project description

Bedrock AgentCore Starter Toolkit

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

DocumentationSamplesDiscordBoto3 Python SDKRuntime Python SDKStarter 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.

Amazon Bedrock AgentCore includes the following modular Services that you can use together or independently:

🚀 Amazon Bedrock AgentCore Runtime

AgentCore Runtime is a secure, serverless runtime purpose-built for deploying and scaling dynamic AI agents and tools using any open-source framework including LangGraph, CrewAI, and Strands Agents, any protocol, and any model. Runtime was built to work for agentic workloads with industry-leading extended runtime support, fast cold starts, true session isolation, built-in identity, and support for multi-modal payloads. Developers can focus on innovation while Amazon Bedrock AgentCore Runtime handles infrastructure and security -- accelerating time-to-market

Runtime Quick Start

🧠 Amazon Bedrock AgentCore Memory

AgentCore Memory makes it easy for developers to build context aware agents by eliminating complex memory infrastructure management while providing full control over what the AI agent remembers. Memory provides industry-leading accuracy along with support for both short-term memory for multi-turn conversations and long-term memory that can be shared across agents and sessions.

Memory Quick Start

🔗 Amazon Bedrock AgentCore Gateway

Amazon Bedrock AgentCore Gateway acts as a managed Model Context Protocol (MCP) server that converts APIs and Lambda functions into MCP tools that agents can use. Gateway manages the complexity of OAuth ingress authorization and secure egress credential exchange, making standing up remote MCP servers easier and more secure. Gateway also offers composition and built-in semantic search over tools, enabling developers to scale their agents to use hundreds or thousands of tools.

Gateway Quick Start

💻 Amazon Bedrock AgentCore Code Interpreter

AgentCore Code Interpreter tool enables agents to securely execute code in isolated sandbox environments. It offers advanced configuration support and seamless integration with popular frameworks. Developers can build powerful agents for complex workflows and data analysis while meeting enterprise security requirements.

Code Interpreter Quick Start

🌐 Amazon Bedrock AgentCore Browser

AgentCore Browser tool provides a fast, secure, cloud-based browser runtime to enable AI agents to interact with websites at scale. It provides enterprise-grade security, comprehensive observability features, and automatically scales— all without infrastructure management overhead.

Browser Quick Start

📊 Amazon Bedrock AgentCore Observability

AgentCore Observability helps developers trace, debug, and monitor agent performance in production through unified operational dashboards. With support for OpenTelemetry compatible telemetry and detailed visualizations of each step of the agent workflow, AgentCore enables developers to easily gain visibility into agent behavior and maintain quality standards at scale.

Observability Quick Start

🔐 Amazon Bedrock AgentCore Identity

AgentCore Identity provides a secure, scalable agent identity and access management capability accelerating AI agent development. It is compatible with existing identity providers, eliminating needs for user migration or rebuilding authentication flows. AgentCore Identity's helps to minimize consent fatigue with a secure token vault and allows you to build streamlined AI agent experiences. Just-enough access and secure permission delegation allow agents to securely access AWS resources and third-party tools and services.

Identity Quick Start

🔐 Import Amazon Bedrock Agents to Bedrock AgentCore

AgentCore Import-Agent enables seamless migration of existing Amazon Bedrock Agents to LangChain/LangGraph or Strands frameworks while automatically integrating AgentCore primitives like Memory, Code Interpreter, and Gateway. Developers can migrate agents in minutes with full feature parity and deploy directly to AgentCore Runtime for serverless operation.

Import Agent Quick Start

⚠️ Preview Status

Bedrock AgentCore is currently in public preview.

Installation

Quick Start

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install using uv (recommended)
uv pip install bedrock-agentcore-starter-toolkit

# Or alternatively with pip
pip install bedrock-agentcore-starter-toolkit

📝 License & Contributing

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bedrock_agentcore_starter_toolkit-0.1.24.tar.gz (531.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file bedrock_agentcore_starter_toolkit-0.1.24.tar.gz.

File metadata

File hashes

Hashes for bedrock_agentcore_starter_toolkit-0.1.24.tar.gz
Algorithm Hash digest
SHA256 43d32f0e2f9c53f43e21cff7274c7f754c46eb3a8941a4a47c4b8110ffb51735
MD5 35b2c38a17e370943376ee94b7b2c4be
BLAKE2b-256 7f6c25d6e69c0af6165aef742dd379065404cbb37f5a381e70962edbc6a0233e

See more details on using hashes here.

File details

Details for the file bedrock_agentcore_starter_toolkit-0.1.24-py3-none-any.whl.

File metadata

File hashes

Hashes for bedrock_agentcore_starter_toolkit-0.1.24-py3-none-any.whl
Algorithm Hash digest
SHA256 1503c040f9c66f605a37ee82b5d301653d3c63fb2c679c402a4cac5a526ae443
MD5 6daee6b7a105a411955c93fdc8d3b0f8
BLAKE2b-256 132895c59b78b8f48c87c9fe718fd3a6c73165265d9108abd365b8ad084526a5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page