I gave my iOS reply coach a memory (and what broke)

说明与用途

Toneme 通过存储关于收件人的简短笔记来添加上下文记忆，提升回复相关性，但遇到模型幻觉、速率限制和笔记重复等问题。

问题

The reply coach started each message from zero, lacking context about the recipient and prior interactions.

结果

The app gained contextual awareness, improving reply relevance, but encountered issues such as model‑generated meeting times, relayer rate limits, and duplicate notes.

工作流

• Add opt‑in memory using Walrus Memory
• After each reply, save a short note (e.g., "Nikos is accounting colleague; user writes briefly")
• Recall up to five notes before the next reply
• Provide UI to view, edit, or reset notes
• Store each note as an encrypted blob on Walrus mainnet and link to Walruscan for inspection

证据

Its problem: every message started from zero. It never knew that Nikos is a colleague or that I write to him briefly.

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After each reply, the app saves one short, non-sensitive note ... and recalls up to 5 notes before the next reply.

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The model invented a meeting time.

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The shared relayer rate-limited us.

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Near-duplicate notes piled up.

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