AgentIndex icon
AgentIndex
mnemo logo
mnemo
★ 12
vs
yantrikdb logo
yantrikdb
★ 67

mnemo vs yantrikdb

mnemo: Mnemo is an open, free, and unlimited persistent AI memory system featuring hybrid search and embedded synchronization. It integrates full-text search with vector search, temporal decay, and importance boosting for advanced retrieval.; yantrikdb: 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.

01

TL;DR

mnemo logo
mnemoMemory & Context · ★ 12

Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.

Read mnemo full review →
yantrikdb logo
yantrikdbMemory & Context · ★ 67

Enhancing AI agent memory and context management

Read yantrikdb full review →
02

Side-by-Side Comparison

Field
mnemo logomnemo
yantrikdb logoyantrikdb
Category
Memory & Context
Memory & Context
Stars
★ 12
★ 67
License
Apache-2.0
AGPL-3.0
Install Command
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
pip install yantrikdb
Updated
2d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Memory, Hybrid Search, Vector Database
Cognitive Memory, AI Memory Engine, Vector Database
03

Features

mnemo logomnemo
01Hybrid retrieval combining full-text search (FTS5) and vector search, fused via Reciprocal Rank Fusion, then re-ranked with temporal decay and importance boost.
02Automatic entity extraction and relation tracking to build a temporal knowledge graph, boosting top search results by graph proximity.
03Multi-machine sync via Google Drive with JSONL-based merge sync, and end-to-end encrypted passport sync using AES-256-GCM and Argon2id for secure cross-device bootstrap.
04LLM-driven compression of older memories and LLM summarization of related memories for STM-to-LTM consolidation, achieving significant token reduction.
05Zero-config local setup using Fastretrieval's built-in Qwen3 ONNX embedding and reranking models, requiring no external API keys for basic operation.
yantrikdb logoyantrikdb
01Relevance-Conditioned Scoring (Semantic, Temporal, Importance, Graph)
02Conflict Detection & Resolution
03Semantic Consolidation & Pattern Mining (via `think()` operation)
04Proactive Triggers
05Multi-Device Sync with CRDTs
04

Use Cases

mnemo logomnemo
↳Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
↳Building and querying a temporal knowledge graph to understand historical states and relationships of entities within an AI system's memory.
↳Synchronizing AI memory across multiple machines or devices securely, enabling a consistent knowledge base for agents.
↳Improving the efficiency of LLM interactions by compressing older memories and consolidating related information.
↳Integrating with various AI clients (e.g., Claude Code, Gemini CLI, Cursor) as an MCP server for advanced memory management.
yantrikdb logoyantrikdb
↳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
FAQ

FAQ

What is the difference between mnemo and yantrikdb?
Both mnemo and yantrikdb are in the Memory & Context category. mnemo has 12 stars, while yantrikdb has 67 stars.
Which is better, mnemo or yantrikdb?
The best choice depends on your use case. Choose mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making., and yantrikdb if Enhancing AI agent memory and context management.
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
Is yantrikdb free or open source?
Yes, yantrikdb is open source on GitHub (AGPL-3.0).
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