Zero-Mem Lets LLM Agents Use Memory Without Tokens

A new technique called Zero-Mem enables large language model agents to handle memory operations without spending any tokens. This cuts overhead, lowering cost and latency for long-running or complex agent tasks. It offers a practical way to make AI agents more efficient by separating memory from the main model context.

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