AgentIndex icon
AgentIndex
engram-memory logo
engram-memory
★ 38
vs
yantrikdb logo
yantrikdb
★ 67

engram-memory vs yantrikdb

engram-memory: Engram Memory provides AI agents with persistent, self-hosted memory, eliminating session-end forgetfulness and API costs. It features a three-tiered recall engine for efficient storage, search, and retrieval of semantic embeddings on your own hardware.; 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

engram-memory logo
engram-memoryMemory & Context · ★ 38

Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.

Read engram-memory full review →
yantrikdb logo
yantrikdbMemory & Context · ★ 67

Enhancing AI agent memory and context management

Read yantrikdb full review →
02

Side-by-Side Comparison

Field
engram-memory logoengram-memory
yantrikdb logoyantrikdb
Category
Memory & Context
Memory & Context
Stars
★ 38
★ 67
License
NOASSERTION
AGPL-3.0
Install Command
docker run -d --name engram-memory --restart unless-stopped -p 6333:6333 -p 11435:11435 -p 8585:8585 -v engram_data:/data engrammemory/engram-memory:latest
pip install yantrikdb
Updated
4mo ago
6d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Memory, Self-hosted, Vector Database
Cognitive Memory, AI Memory Engine, Vector Database
03

Features

engram-memory logoengram-memory
01Three-tiered recall engine (Hot-Tier Cache, Multi-Head Hash Index, Hybrid Vector Search) for fast and efficient memory retrieval.
02Persistent memory management with semantic embedding (store, search, recall, forget, consolidate) for AI agents.
03Local-first operation with self-hosted components (Qdrant, FastEmbed, MCP server) for data privacy and zero API costs.
04Kuzu-backed entity graph for tracking entities, co-retrieval patterns, and spreading activation.
05Advanced memory capabilities including conflict detection, temporal queries, and an "answer from memory" function.
06Hive Memory for multi-device sharing, enabling shared memory pools across different agents and devices.
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

engram-memory logoengram-memory
↳Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.
↳Enabling multi-agent systems to share a common knowledge base and collaborate effectively through shared memory pools (Hive Memory).
↳Answering complex questions by synthesizing information from an agent's stored memories, both locally and optionally with cloud enhancement.
↳Auditing an agent's knowledge at specific points in time or over date ranges using temporal queries for incident analysis or historical context.
↳Storing and retrieving user preferences, facts, decisions, goals, and insights efficiently and semantically for personalized agent interactions.
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 engram-memory and yantrikdb?
Both engram-memory and yantrikdb are in the Memory & Context category. engram-memory has 38 stars, while yantrikdb has 67 stars.
Which is better, engram-memory or yantrikdb?
The best choice depends on your use case. Choose engram-memory if Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions., and yantrikdb if Enhancing AI agent memory and context management.
Is engram-memory free or open source?
Yes, engram-memory is open source on GitHub (NOASSERTION).
Is yantrikdb free or open source?
Yes, yantrikdb is open source on GitHub (AGPL-3.0).
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