yantrikdb-server

None of these help resolve the contradiction. The issue (https://github.com/yantrikos/yantrikdb-server/issues/3) doesn't even get the problem presented by the parent right (two CEOS), instead it hallucinated something vaguely related. Top-quality AI slop. I hate this. To the author: project aside, it's not a good look to let an LLM drive your HN profile.

Vector databases store memories. They don't manage them. After 10k memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution. Your AI agent just gets noisier. YantrikDB is a cognitive memory engine — embed it, run it as a server, or connect via MCP. It thinks about what it stores: consolidation collapses duplicate memories, contradiction detection flags incompatible facts, temporal decay with configurable half-life lets unimportant memories fade like human memory does. Single Rust binary. HTTP + binary wire protocol. 2-voter + 1-witness HA cluster via Docker Compose or Kubernetes. Chaos-tested failover, runtime deadlock detection (parking_lot), per-tenant quotas, Prometheus metrics. Ran a 42-task hardening sprint last week — 1178 core tests, cargo-fuzz targets, CRDT property tests, 5 ops run