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.
Core Facts
Timeline (last 90 days)
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)
The token consumption of conversational buffer memory (Buffer Memory) grows linearly with conversation length, with 100% information retention.
65%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.
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