mcp-memory-service logo
mcp-memory-service
★ 2.0k
vs
cortex logo
cortex
★ 35

mcp-memory-service vs cortex

mcp-memory-service: MCP Memory Service prevents AI assistants from losing context across sessions by automatically capturing project architecture, decisions, and code patterns. This ensures your AI always remembers essential information, eliminating the need for repetitive re-explanation and saving valuable development time.; 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

mcp-memory-service logo
mcp-memory-serviceMemory & Context · ★ 2.0k
When to choose:
  • You use Claude Code, Claude Desktop, Cursor, VS Code or another MCP client and want chat sessions to stop starting from zero.
  • You want a choice of storage: local SQLite, Cloudflare for multi-device sync, or a hybrid.
  • You need team features: the README lists OAuth, a dashboard and document ingestion.
When to skip:
  • Your problem is codebase navigation rather than conversation memory; a code-graph tool or a project scaffold fits better.
  • You handle sensitive material and cannot put it in a persistent store, especially with cloud sync.
  • You want a short README to start from: it mixes release notes with documentation.
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
mcp-memory-service logomcp-memory-service
cortex logocortex
Category
Memory & Context
Memory & Context
Stars
★ 2.0k
★ 35
License
Apache-2.0
MIT
Install Command
pip install mcp-memory-service
brew tap gambletan/tap && brew install cortex-mcp-server
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Memory, Context Management, Developer Tools
AI Agent Memory, Local Storage, Privacy-Preserving AI
03

Features

mcp-memory-service logomcp-memory-service
01Persistent Memory
02Smart Retrieval
03Multi-Client Compatibility
04Cloud Sync (Optional)
05Web Dashboard
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

mcp-memory-service logomcp-memory-service
↳Maintaining AI context across multiple development sessions.
↳Avoiding repetitive explanations of project architecture and tech stack to AI.
↳Enhancing continuous and intelligent collaboration with AI assistants.
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.
05

Best For

mcp-memory-service logomcp-memory-service
EssentialTrending
cortex logocortex
—
FAQ

FAQ

What is the difference between mcp-memory-service and cortex?
Both mcp-memory-service and cortex are in the Memory & Context category. mcp-memory-service has 2.0k stars, while cortex has 35 stars.
Which is better, mcp-memory-service or cortex?
The best choice depends on your use case. Choose mcp-memory-service if Maintaining AI context across multiple development sessions., and cortex if Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions..
Is mcp-memory-service free or open source?
Yes, mcp-memory-service is open source on GitHub (Apache-2.0).
Is cortex free or open source?
Yes, cortex is open source on GitHub (MIT).
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