Tutorial: Building Stateful Agentic Engineering Copilots with Letta

A comprehensive guide demonstrates how to build production-grade stateful engineering copilots using Letta, covering core memory, shared agent state, semantic retrieval, custom tool integration, streaming responses, and portable agent workflows. Unlike stateless LLM calls, Letta agents maintain persistent memory across sessions, enabling copilots that accumulate project context, remember past decisions, and retrieve relevant history semantically. The tutorial walks through concrete implementation patterns that developers can adapt for internal dev tools, code review assistants, or long-running engineering workflow automation. Shared state primitives are particularly notable for multi-agent architectures where multiple specialized agents need to coordinate around a common knowledge base. For teams evaluating agentic frameworks beyond LangChain or LlamaIndex, this provides a hands-on comparison point with a memory-first design philosophy.