What you actually need to ship an AI agent

Short summary

Building production AI agents requires more than a good model: use LangGraph with Postgres checkpointing for crash resilience and state persistence, adopt MCP for tool integration, and combine structured Postgres storage with semantic vectors for user memory. Security matters—audit MCP servers like npm packages.

• •Use LangGraph with Postgres checkpointing for production-grade state persistence and crash recovery
• •Adopt MCP (Model Context Protocol) for standardized tool integration with security auditing
• •Combine structured + semantic memory: Postgres for queryable facts, vectors for context similarity

Generated with AI, which can make mistakes.