memory-bank-mcp logo
memory-bank-mcp
★ 921
vs
cortex logo
cortex
★ 35

memory-bank-mcp vs cortex

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.; cortex: Cortex is a private, free, and local memory engine for personal AI agents, built with Rust. It provides multi-tier, self-evolving long-term memory that persists across sessions and devices, offering sub-millisecond performance and end-to-end encrypted cloud synchronization.

01

TL;DR

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

Centralized management of AI model context across various projects.

cortex logo
cortexMemory & Context · ★ 35

Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions.

02

Side-by-Side Comparison

Field
memory-bank-mcp logomemory-bank-mcp
cortex logocortex
Category
Memory & Context
Memory & Context
Stars
★ 921
★ 35
License
MIT
MIT
Install Command
npx -y @smithery/cli install @alioshr/memory-bank-mcp --client claude
brew tap gambletan/tap && brew install cortex-mcp-server
Updated
1y ago
1d ago
Open Source
Yes
Yes
Tags
MCP, Memory Bank, Node.js
AI Agent Memory, Local Storage, Privacy-Preserving AI
03

Features

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
cortex logocortex
01Private by Default: Memories reside in a local SQLite file, ensuring zero telemetry and data privacy.
02Real, Multi-Tier Memory: Features 4 memory tiers (Working, Episodic, Semantic, Procedural), multi-signal retrieval, Bayesian beliefs, and a cross-channel people graph.
03Sub-millisecond Performance: Achieves 156µs ingest and 568µs search speeds, significantly faster than cloud memory APIs.
04Cross-Device End-to-End Encrypted Sync: Optionally syncs memories across devices through your own cloud storage (iCloud, Google Drive, etc.) with AES-256-GCM encryption.
05Drop-in Integration: Serves as an MCP server for Claude, offers Python bindings, and integrates with frameworks like LangGraph, DeerFlow, and OpenClaw.
04

Use Cases

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.
cortex logocortex
↳Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions.
↳Enabling AI assistants to remember user preferences, facts, and past interactions without sending data to external servers.
↳Building personal AI systems where user data stays entirely on-device or synced via user's own encrypted cloud storage.
↳Integrating advanced memory capabilities (e.g., people graph, Bayesian beliefs, contradiction detection) into agent orchestration platforms like LangGraph or DeerFlow.
↳Developing AI applications that require low-latency, real-time memory access and context generation for prompt injection.
FAQ

FAQ

What is the difference between memory-bank-mcp and cortex?
Both memory-bank-mcp and cortex are in the Memory & Context category. memory-bank-mcp has 921 stars, while cortex has 35 stars.
Which is better, memory-bank-mcp or cortex?
The best choice depends on your use case. Choose memory-bank-mcp if Centralized management of AI model context across various projects., and cortex if Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions..
Is memory-bank-mcp free or open source?
Yes, memory-bank-mcp is open source on GitHub (MIT).
Is cortex free or open source?
Yes, cortex is open source on GitHub (MIT).
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