23 · AI Agent Platform (LangChain + AgentCore)

This enterprise AI agent platform with LangChain + Bedrock AgentCore focuses on the design-build-run-observe-secure-scale lifecycle, with multi-agent orchestration via LangGraph and a managed AgentCore runtime.

How it works

1. 1Users & channels → AgentCore Gateway (single entry, auth, validation, routing, versioning).
2. 2Orchestration: multi-agent LangGraph brain (plan → route → execute → evaluate → respond).
3. 3AgentCore runtime provides sandboxed containers, memory, identity and observability.
4. 4Knowledge & memory layer (RAG) plus tools & MCP ecosystem.
5. 5Response layer streams structured, cited, multi-modal answers.

Key points

• Built-in capabilities: memory, tools (MCP), identity, streaming, observability.
• Model features: streaming, JSON mode, tool use, function calling, guardrails.
• Operations & reliability: blue/green deploys, CI/CD, canary, SLOs.
• LangGraph gives flexibility; AgentCore gives power — together, enterprise scale.

Why it matters

It ties the whole lifecycle together — design, build, run, observe, secure, scale — so enterprise agents are dependable and maintainable, not one-off scripts.

Frequently asked questions

How is this different from the blueprint?

Same platform idea, emphasising the design-to-scale lifecycle and the LangGraph orchestration brain.

What does the gateway handle?

Single entry, authentication, request validation, routing and versioning.