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Show HN: Two-tier-memory – queryable long-term memory for AI coding agents

A queryable long-term memory for AI coding agents using a two-tier system: an always-loaded index and an on-demand SQLite database, overcoming context window limits.

SourceHacker News AIAuthor: tadelstein
Show HN: Two-tier-memory – queryable long-term memory for AI coding agents
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Two-tier memory: index (always loaded) + database (queried on demand)
  • Addresses the context-window wall where agents forget past solutions
  • Simple CLI tool with no dependencies beyond Python 3
  • Recommended habits: query before rebuild, keep rows honest, consider semantic search later

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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