Why does Claude Code use Markdown files instead of vector databases?

Markdown keeps it simple, git-friendly, and drift-free—vectors add shallow search and infra headaches for little gain in CLI sessions.

How does Claude Code retrieve memories?

Sonnet LLM scans descriptions live, picks top 5 files in 250ms—async, so zero felt lag.

Best for 20-100 memories; caps nudge cleanup, leans on repo truth for the rest—no bloat.

🤖 Large Language Models

Anthropic's Claude Code doesn't trust fancy vector DBs for memory—it reads Markdown files live with Sonnet. Smart simplicity or risky shortcut?

theAIcatchup Apr 08, 2026 4 min read

Claude Code prioritizes live repo truth over stored facts to avoid memory drift. 𝕏
Four strict memory types enforce clarity over tagging chaos. 𝕏
LLM queries beat vectors for semantic depth in small-scale CLI use. 𝕏

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Originally reported by Dev.to