10How do you manage memory and context for a long-running conversational agent?▼hard★ EssentialAnthropicOpenAISierra2 repliesunlockedConversations and agent tasks outgrow the context window, and naive 'stuff the whole history' fails on cost, latency, and lost-in-the-middle. The signal is a tiered memory design: recent buffer, summarized mid-term, retrieved long-term.Open full answer →
20What are the types of agent memory (short-term, long-term, episodic, semantic), and how do you use each?▼mediumAnthropicOpenAISierra1 replies○ sign inAgents need memory beyond the context window, and 'just store the history' is the wrong answer. The signal is distinguishing the memory types and mapping each to a storage and retrieval strategy. Here is the answer.Open full answer →
