migration-guide

To migrate AI agents from LangChain to Strands, this Skill generates a step-by-step plan that maps cross-framework action groups, memory, and prompt systems to ensure runtime compatibility and preserve agent behavior.

Porting Bedrock Agents to AgentCore requires mapping memory and tool policies for runtime compatibility. This Skill guides you through migration planning, state migration, policy alignment, and environment configuration across both runtimes.

Yes, you can transition a monolith AI agent to a multi-agent architecture. This Skill provides guidance on migration planning, state and memory migration, and prompt system mapping to preserve behavior during the transition.

Agent migration preserves tool policies and memory across runtimes by applying memory and tool policy mapping. This ensures deployment and IAM alignment guidance across environments like Bedrock, AgentCore, LangChain, and Strands.

You align IAM and deployment configurations when porting agents by following the environment configuration guidance provided. This Skill maps memory and tool policies to ensure runtime compatibility across different framework deployments.

Migrating agent prompts between frameworks requires careful state and memory migration to avoid behavior loss. This Skill addresses policy alignment and environment configuration, though complex custom tool integrations may need manual mapping.