yantrikdb
Active·★ 67·AGPL-3.0·Updated 2026-10-16
YantrikDB is a cognitive memory engine designed for persistent AI systems, offering a sophisticated memory model beyond simple vector search. It integrates vector, graph, temporal, and decay indexes to enable intelligent recall, conflict detection, and semantic consolidation for AI agents.
#Cognitive Memory#AI Memory Engine#Vector Database#Knowledge Graph#Temporal Index#Memory Decay#Rust Library#Python Library
01
Features
01Relevance-Conditioned Scoring (Semantic, Temporal, Importance, Graph)
02Conflict Detection & Resolution
03Semantic Consolidation & Pattern Mining (via `think()` operation)
04Proactive Triggers
05Multi-Device Sync with CRDTs
02
Compatibility
Python
Runtime
Verified via docs
Rust
Core Language
Verified via docs
AI Agents (MCP)
Integration
Verified via docs
03
Quick start
1
$ pip install yantrikdb
04
Use cases
↳Enhancing AI agent memory and context management
↳Persistent memory for conversational AI systems
↳Building adaptive knowledge bases for AI
↳Supporting multi-node AI deployments with consistent memory
↳Intelligent information retrieval and synthesis
05
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