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Cortex Memory Engine MCP server

by gambletan·io.github.gambletan/cortex·v1.8.0·34 stars

Local-first AI memory engine — 4-tier memory, people graph, Bayesian beliefs. Encrypted, 62µs.

C65/100grade C
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Safety scan
C65/100

full report

Adoption
New

34 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Cortex Memory Engine tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 91 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 65/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Cortex Memory Engine compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
65/100
higher than 20% of 48,255 servers
GitHub stars
34
more than 92% of 28,688 servers

Install Cortex Memory Engine in Claude Code, Cursor or VS Code

claude mcp add cortex -- docker run -i --rm ghcr.io/gambletan/cortex:v1.8.0
Add to Cursor

What the publisher says

From the Cortex Memory Engine repository's README, as published. We do not edit it. Read it on GitHub

Cortex

🧠 Try Cortex in your browser — zero install, 124KB WASM, runs entirely client-side.

If Cortex helps your AI remember, give it a ⭐ — it takes 1 second and helps others discover the project.

中文 | 日本語 | 한국어

Memory for AI agents that never leaves your device.

Private. Free. Local. — a memory engine for personal AI agents.

Your AI's memory lives on your device — your data never leaves, never costs, never spies. Pure Rust. 3.8MB binary. No third-party servers in the data path, zero telemetry, zero cost. Syncs through your own cloud storage. (On-device semantic search downloads a ~30MB model once on first use, then runs fully offline — or go 100% offline with CORTEXNOEMBEDDINGS=1. See Security & Privacy.)

What you get

  • 🔒 Private by default — memories live in a local SQLite file, never leave your device, zero telemetry (CI-enforced).
  • 🧠 Real memory, not a text file — 4 tiers, multi-signal retrieval, self-correcting Bayesian beliefs, a cross-channel people graph.
  • ⚡ Sub-millisecond — 156µs ingest, 568µs search. ~528× faster than cloud memory APIs, with no network round-trip.
  • 🔌 Drop-in for any agent — one MCP server gives Claude Code / Claude Desktop (or any MCP client) persistent cross-session memory.
  • ☁️ Yours across devices — optional end-to-end-encrypted sync through your own iCloud / Drive / Dropbox. No server of ours, ever.

See it remember across sessions — ~30 seconds:

brew install gambletan/tap/cortex-mcp-server          # or: cargo build --release -p cortex-mcp-server
claude mcp add cortex-memory -- cortex-mcp-server ~/.cortex/memory.db

Tell Claude "remember I deploy on Fly.io and always run tests before pushing." Open a brand-new session and ask "how do I deploy this project?" — it answers from memory, 100% on your machine.

⭐ If that's useful, give it a star — it helps others find a memory engine that respects their privacy.

LLMs start blank every session — they forget your name, your preferences, yesterday's conversation, last week's decision. The usual fixes are flat text files (no ranking, no decay), keyword grep, or cloud APIs that add 200–500ms, charge you, and ship your personal data to someone else's server. Cortex gives your AI structured, self-evolving long-term memory that persists across sessions and channels — all local, all yours. Your memories are not a cloud provider's training data, a startup's monetization asset, or a surveillance target.

Cortex vs Mem0 vs OpenAI Memory

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Cortex Memory Engine: common questions

Is Cortex Memory Engine MCP server safe?
With care: it is graded C, so read the findings first (65/100). Read the Cortex Memory Engine safety report
How do I install Cortex Memory Engine?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Cortex Memory Engine need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Cortex Memory Engine maintained?
The last commit was 128 days ago (2026-06-29). The latest release is v1.8.0.
What can I use instead of Cortex Memory Engine?
Servers from other publishers that do the same job: Codebase Memory MCP server, Neo4j Memory MCP server and Memorix MCP server.
How does Cortex Memory Engine compare with other MCP servers?
safety score 65/100 (higher than 20% of 48,255 servers); github stars 34 (more than 92% of 28,688 servers). Full comparison.

Alternatives to Cortex Memory Engine

Same job from other publishers: the closest match first, then the best rated.

  • Codebase Memory
    Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
    C
  • Neo4j Memory
    MCP Neo4j Knowledge Graph Memory Server
    A
  • Memorix
    Local-first project memory with legacy MCP and 2026 discovery compatibility.
    B
  • Nautilus Compass Memory
    Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.
    B
  • State Memory MCP
    Persistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.
    A