Agent Memory Needs to Be Embedded in the Reasoning Process
ShanRizvi · x · 2026-07-15
This post discusses the design approach for agent memory: the author argues that solutions like MindGraph provide appropriate "cognitive primitives," but current state-of-the-art models often just ingest a massive amount of context and then spend many inference tokens deciding what to do.
Their main argument is that if we want agents to think iteratively and recursively like humans, leaving meaningful memory traces in real-time, the models need to be fine-tuned to continuously use cognitive primitives as tool calls during the reasoning process, rather than only utilizing these memory mechanisms before or after reasoning.
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