Your AI Coding Agent Forgot Everything. So I Put Its Memory…

Описание и применение

Разработчики перенесли память AI‑агентов на локальные устройства, используя HyperMarrow, чтобы сохранить контекст, обеспечить аудит и защиту данных.

Задача

AI coding agents lose context between sessions because their memory is stored on remote servers, causing latency, privacy concerns, and loss of auditability.

Результат

Agents retain context across sessions, audit trails are locally accessible, and memory management is explicit and recoverable.

Рабочий процесс

• 1. Record a decision with source and timestamp in durable local storage.
• 2. Ensure durable write occurs before any compaction or summarisation.
• 3. Apply bounded forgetting with scheduled decay, pinning important records.
• 4. Recall returns the original text with its origin attached.
• 5. Configure privacy boundary as a setting, not a promise.

Доказательства

A decision gets written down with a source and a timestamp

The durable write happens before anything compacts, not after

Forgetting is bounded and scheduled; pinned records never decay

Recall returns your words, with the origin attached

The privacy boundary is a setting, not a promise

HyperMarrow is a Windows desktop memory layer, and the local-first build is here: https://hm.qianshi.cool/api/v2/dl?from=devto

Источник