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Agent Frameworks

AgentCore CLI supports multiple agent frameworks for template-based agent creation, plus a BYO (Bring Your Own) option for existing code.

Available Frameworks

Framework Supported Model Providers
Strands Agents Bedrock, Anthropic, OpenAI, Gemini
LangChain_LangGraph Bedrock, Anthropic, OpenAI, Gemini
GoogleADK Gemini only
OpenAIAgents OpenAI only

Framework Selection Guide

Strands Agents

AWS's native agent framework designed for Amazon Bedrock.

Best for:

  • Projects primarily using Amazon Bedrock models
  • Integration with AWS services
  • Production deployments on AWS infrastructure

Model providers: Bedrock, Anthropic, OpenAI, Gemini

agentcore create --framework Strands --model-provider Bedrock

LangChain / LangGraph

Popular open-source framework with extensive ecosystem.

Best for:

  • Complex multi-step agent workflows
  • Projects requiring LangChain's extensive tool ecosystem
  • Teams already familiar with LangChain

Model providers: Bedrock, Anthropic, OpenAI, Gemini

agentcore create --framework LangChain_LangGraph --model-provider Anthropic

GoogleADK

Google's Agent Development Kit.

Best for:

  • Projects using Google's Gemini models
  • Integration with Google Cloud services

Model providers: Gemini only

agentcore create --framework GoogleADK --model-provider Gemini

OpenAIAgents

OpenAI's native agent framework.

Best for:

  • Projects using OpenAI models exclusively
  • Simple agent workflows with OpenAI's function calling

Model providers: OpenAI only

agentcore create --framework OpenAIAgents --model-provider OpenAI --api-key sk-...

Import from Bedrock Agents

If you have an existing Bedrock Agent, you can import its configuration and translate it into runnable Strands or LangChain/LangGraph code. The imported agent preserves your Bedrock Agent's action groups, knowledge bases, multi-agent collaboration, guardrails, prompts, and memory configuration.

# Interactive (select "Import from Bedrock Agents" in the wizard)
agentcore add agent

# Non-interactive
agentcore add agent \
  --name MyAgent \
  --type import \
  --agent-id AGENT123 \
  --agent-alias-id ALIAS456 \
  --region us-east-1 \
  --framework Strands \
  --memory none

What gets imported

The import process fetches your Bedrock Agent's full configuration and translates it into framework-specific Python code that runs on AgentCore:

  • Action groups (function-schema and built-in) become @tool decorated functions
  • Knowledge bases become retrieval tool integrations
  • Multi-agent collaboration produces separate collaborator files with recursive translation
  • Code interpreter wires to AgentCore's code_interpreter_client
  • Guardrails are configured in the model initialization
  • Prompt overrides are preserved as template variables
  • Memory integrates with AgentCore's memory service when enabled

Import options

Flag Description
--type import Use import mode (required)
--agent-id <id> Bedrock Agent ID
--agent-alias-id <id> Bedrock Agent Alias ID
--region <region> AWS region where the Bedrock Agent exists
--framework <fw> Strands or LangChain_LangGraph
--memory <opt> none, shortTerm, longAndShortTerm

Bring Your Own (BYO) Agent

For existing agent code or frameworks not listed above, use the BYO option:

agentcore add agent \
  --name MyAgent \
  --type byo \
  --code-location ./my-agent \
  --entrypoint main.py \
  --language Python

BYO Requirements

  1. Entrypoint: Your code must expose an HTTP endpoint that accepts agent invocation requests
  2. Code location: Directory containing your agent code
  3. Language: Python

BYO Options

Flag Description
--type byo Use BYO mode (required)
--code-location <path> Directory containing your agent code
--entrypoint <file> Entry file (e.g., main.py or index.ts)
--language <lang> Python

Framework Comparison

Feature Strands LangChain GoogleADK OpenAIAgents
Multi-provider support Yes Yes No No
AWS Bedrock native Yes No No No
Tool ecosystem Growing Extensive Moderate Moderate
Memory integration Native Via libs Via libs Via libs