Developer fixes crashing TypeError in public AI memory benchmark before competing on it

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A developer submitting their memory system to the Agent Memory Leaderboard — a public AI benchmark platform with entries from Tencent, Mem0, and Cognee — discovered that three of its five evaluation pipelines crashed immediately due to a Python TypeError. The bug stemmed from mixing a synchronous file context manager inside an async with statement, a pattern that Python unconditionally rejects at the language level, meaning the code could never have run as originally shipped. The developer verified the fault three independent ways before filing a bug report with a minimal reproduction case and proposing a fix. The patch, submitted as pull request #12, splits the combined context manager into nested async and sync blocks across six code sections in three files, with no change to runtime behavior. The fix was submitted regardless of whether it would benefit the developer's own benchmark score, citing a principle of not competing against anyone they would not also help.

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