Your harness, your memory
Original excerpt
Agent harnesses are becoming the dominant way to build agents, and they are not going anywhere. These harnesses are intimately tied to agent memory. If you used a closed harness - especially if it’s behind a proprietary API - you are choosing to yield control of your agent’s memory to a third party. Memory is incredibly important to creating good and sticky agentic experiences. This creates incredible lock in. Memory - and therefor harnesses - should be open, so that you own your own memory
The “best” way to build agentic systems has changed dramatically over the past three years. When ChatGPT came out, all you could do were simple RAG chains (LangChain). Then the models got a little better,…
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This article by Agent Memory Patterns is part of the Agent Memory Patterns reading list on Burn 451, covering memgpt · letta · zep · langgraph · memos.
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