GoKawiilYantrikDB
A memory database that forgets, consolidates, and detects contradictions.
Vector databases store memories. They don't manage them. After 10,000 memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution. Your AI agent just gets noisier.
YantrikDB is different. It's a cognitive memory engine — embed it, run it as a server, or connect via MCP. It thinks about what it stores.
Three things no other database does
1. It forgets
db . record ( "read the SLA doc by Friday" , importance = 0.4 , half_life = 86400 ) # 1 day # 24 hours later, this memory's relevance score has decayed # 7 days later, recall stops surfacing it unless explicitly queried
2. It consolidates
# 20 similar memories about the same meeting for note in meeting_notes : db . record ( note , namespace = "standup-2026-04-12" ) db . think () # → {"consolidation_count": 5} # collapsed 20 fragments into 5 canonical memories
3. It detects contradictions
... continue reading