Building agentic AI applications on AWS leverages Amazon Bedrock as the core platform, enabling developers to create autonomous AI agents that reason, plan, and execute multi-step tasks using foundation models (FMs), APIs, tools, and data sources.
Amazon Bedrock Agents allow quick setup: select a model (e.g., Anthropic Claude or Amazon Nova), provide natural language instructions, define action groups (via Lambda functions or APIs), and integrate knowledge bases for retrieval-augmented generation (RAG). Agents break down user queries, invoke tools, and complete complex workflows like booking systems or data analysis.
For advanced production-scale deployments, Amazon Bedrock AgentCore provides enterprise-grade capabilities, including secure runtime hosting, memory management for context retention, identity controls, code interpretation, observability, and tool gateways (via Model Context Protocol – MCP). It supports open-source frameworks like Strands Agents, LangChain, or CrewAI, ensuring scalability, security, and integration without infrastructure management.
Multi-agent collaboration enables specialized agents to work under a supervisor for intricate processes. Complementary tools include Generative AI Application Builder on AWS for unified orchestration and AWS Marketplace for pre-built agents.
AWS emphasizes governance with guardrails, tracing, and serverless patterns (e.g., Lambda, EventBridge) to operationalize agents reliably. This ecosystem accelerates from prototypes to impactful enterprise applications in automation, development, and business workflows.
