Slaunt: an MCP vector-memory tool claiming 99% recall on month-old agent context
karatyma_dev · reddit · 2026-11-10
A Reddit dev built Slaunt after memory.md/claude.md files ate too much context during model switches and cache refreshes. It's a simple one-click MCP server using vector embeddings, letting agents recall anything regardless of age, across sources like Vercel, Supabase, AWS, Railway, Linear and Notion. Self-reported internal benchmarks: 99% recall accuracy on Claude Code, 95% on Codex, with 47% fewer tokens and 24% faster than base models (raw CSV promised soon). Free for now, with lifetime Pro promised to early users — treat the numbers as vendor-reported.
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