Ori-Mnemos logo
Ori-Mnemos
★ 333
vs
memory-bank-mcp logo
memory-bank-mcp
★ 921

Ori-Mnemos vs memory-bank-mcp

Ori-Mnemos: Ori Mnemos is an open-source persistent memory infrastructure for AI agents that implements human cognition models on a knowledge graph. It uses ACT-R decay, spreading activation, and Hebbian learning to manage memory, and achieves state-of-the-art retrieval performance while being zero-infrastructure and portable.; memory-bank-mcp: The Memory Bank MCP Server provides a centralized service for managing memory bank files remotely. It supports multiple projects, ensures file structure consistency, and offers secure, isolated access via the MCP protocol.

01

TL;DR

Ori-Mnemos logo
Ori-MnemosMemory & Context · ★ 333

Multi-hop retrieval QA (e.g., HotpotQA)

memory-bank-mcp logo
memory-bank-mcpMemory & Context · ★ 921

Centralized management of AI model context across various projects.

02

Side-by-Side Comparison

Field
Ori-Mnemos logoOri-Mnemos
memory-bank-mcp logomemory-bank-mcp
Category
Memory & Context
Memory & Context
Stars
★ 333
★ 921
License
Apache-2.0
MIT
Install Command
npm install -g ori-memory && ori init my-agent && cd my-agent
npx -y @smithery/cli install @alioshr/memory-bank-mcp --client claude
Updated
3w ago
1y ago
Open Source
Yes
Yes
Tags
agent-memory, ai-agent, ai-agents
MCP, Memory Bank, Node.js
03

Features

Ori-Mnemos logoOri-Mnemos
01Persistent memory across sessions, clients, and machines
02Knowledge graph with wiki-links, PageRank, and community detection
03Three memory spaces with cognitive forgetting (ACT-R decay)
04Four-signal fusion retrieval (semantic, BM25, PageRank, warmth)
05Retrieval intelligence with Q-learning and meta-learning
memory-bank-mcp logomemory-bank-mcp
01Multi-project memory bank management
02Remote access to memory banks via MCP protocol
03Consistent file structure enforcement and validation
04Project isolation for enhanced security
05Comprehensive CRUD operations for memory bank files
04

Use Cases

Ori-Mnemos logoOri-Mnemos
↳Multi-hop retrieval QA (e.g., HotpotQA)
↳Long-term conversational memory (e.g., LoCoMo)
↳Persistent AI agent identity and knowledge
memory-bank-mcp logomemory-bank-mcp
↳Centralized management of AI model context across various projects.
↳Providing remote memory bank capabilities to multiple AI assistants or development tools.
↳Integrating with AI clients like Claude, Cursor, or VS Code extensions to enhance their memory functions.
FAQ

FAQ

What is the difference between Ori-Mnemos and memory-bank-mcp?
Both Ori-Mnemos and memory-bank-mcp are in the Memory & Context category. Ori-Mnemos has 333 stars, while memory-bank-mcp has 921 stars.
Which is better, Ori-Mnemos or memory-bank-mcp?
The best choice depends on your use case. Choose Ori-Mnemos if Multi-hop retrieval QA (e.g., HotpotQA), and memory-bank-mcp if Centralized management of AI model context across various projects..
Is Ori-Mnemos free or open source?
Yes, Ori-Mnemos is open source on GitHub (Apache-2.0).
Is memory-bank-mcp free or open source?
Yes, memory-bank-mcp is open source on GitHub (MIT).
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