u/Beneficial_Use2116

Building a production agent platform on AWS:

• 1 web app
• ~20 agents (one master that orchestrates, plus specialists that can also be called directly)
• ~50 tools as MCP servers

Must have: prompt caching that actually works, and Claude.ai-level intelligence (reasoning, memory, skills, long context), with nothing lost to a framework or gateway in between.

Considering Bedrock AgentCore, Claude Agent SDK vs Strands vs LangGraph, A2A between agents, LiteLLM as the LLM gateway, and Langfuse for tracing.

1. Which agent framework keeps full Claude features and prompt caching?
2. Do you call agents over A2A, or just give them to the master as tools?
3. How do you host and manage 50 MCP servers?
4. One monorepo for everything, or one repo per agent or MCP server?

What would you do if starting today?