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yantrikdb-server
yantrikdb-server logo

yantrikdb-server

Active·★ 177·AGPL-3.0·Updated 2026-10-15

YantrikDB is a cognitive memory engine designed for AI agents that goes beyond vector databases by implementing forgetting, consolidation, and contradiction detection. It provides token-efficient recall, proactive triggers, and a comprehensive API for memory operations, making it suitable for persistent AI systems.

#agent-memory#ai-agents#anthropic#claude-code#clustering#cognitive-memory#database#embeddings
$ Install
$ pip install yantrikdb
↗ Visit site★ GitHub
01

Features

01Forgetting with configurable half-life decay
02Consolidation of similar memories into canonical ones
03Contradiction detection across memories
04Multi-signal scoring (recency, importance, similarity, graph proximity)
05Proactive triggers and derived personality from memory patterns
02

Compatibility

Python
Python bindings
Verified via docs
Rust
Rust engine
Verified via docs
MCP
MCP server for AI agents
Verified via docs
HTTP
HTTP server (Docker)
Verified via docs
03

Quick start

1
$ pip install yantrikdb
04

Use cases

↳Running as a network server for distributed memory operations
↳Serving as an MCP server for AI agents (Claude Code, Cursor, Windsurf)
↳Embedding as a library in Python or Rust applications
05

Alternatives

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
yantrikos /
yantrikdb-server
↗

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, AGPL, ships as library / MCP server / HTTP cluster.

177AGPL-3.0
Last commit1w ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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