Brief

This article details a method for building LLM agents capable of engaging in multi-turn email conversations. The approach uses a Nylas Agent Account and the Threads API to manage conversations that can span days, ensuring the agent remembers context across restarts and deployments. Key to this is a durable record for each conversation, storing its state, turn count, and metadata in a persistent database like PostgreSQL, Redis, or Amazon DynamoDB. The system relies on webhooks and email threading to track replies, with a state machine guiding the agent's responses and a strategy to summarize older messages to manage token usage. AI