Buffer Memory
An agent memory strategy that stores the complete conversation history and sends all of it to the LLM on every call; it is simple to implement but consumes a large number of tokens.
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The article categorizes Agent memory approaches into six types: Buffer, Window, Token, Summary, Long Term and Semantic.
Buffer memory stores the complete conversation for each chat, can optionally be kept in memory or in persistent storage (such as SQLite3 or PostgreSQL), and sends the entire history to the LLM on every call.
All Facts (3)
对话缓冲记忆（Buffer Memory）的token消耗随对话长度线性增长，信息保留度为100%
95%UnverifiedThe article categorizes Agent memory approaches into six types: Buffer, Window, Token, Summary, Long Term and Semantic.
50%UnverifiedBuffer memory stores the complete conversation for each chat, can optionally be kept in memory or in persistent storage (such as SQLite3 or PostgreSQL), and sends the entire history to the LLM on every call.
50%