pomazanbohdan/memory-mcp-1file

v0.2.10 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 3mo MCP Data & Storage

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Summary

AI summary

Fixed attention‑mask corruption in batch mean pooling that caused embedding errors on padded tokens.

Full changelog

🐛 Bug Fixes (13/16 from audit)

Wave 1 — Zero-Risk (7 fixes)

BUG-2, BUG-15: NaN-safe sort in search.rs and rrf.rs
BUG-4: Dockerfile HEALTHCHECK start-period 60s → 120s
BUG-8: blake3-based ID generation replacing weak nanos XOR pid
BUG-9: Queue metrics drift prevention — inc_queue() after send()
BUG-10: invalidate() stores superseded_by parameter
BUG-13: Embedding cache purges stale entries on model change

Wave 2 — Medium-Scope (5 fixes)

BUG-3: Runtime .expect() → graceful error with STATUS_ERROR
BUG-6: embed_for_record() passes actual chunk ID
BUG-7: File-level hash comparison via blake3::Hasher for incremental indexing
BUG-12: Watcher cancel channel prevents post-stop debounce callbacks
BUG-16: memory_type parse validation with error instead of silent drop

Wave 3 — Critical (1 fix)

BUG-1: Attention mask for batch mean pooling — padding tokens no longer corrupt embeddings

✅ Verification

cargo build --profile fast — all 3 wave gates passed
cargo test — 69 passed, 0 failed

Not Fixed (by design)

BUG-5: dead config field (cosmetic)
BUG-11: noop flush (architectural)
BUG-14: schema dimension matches current model

View diff on GitHub

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About pomazanbohdan/memory-mcp-1file

A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.

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