Cortex

Cortex — Semantic Memory for AI Agents

One external brain, model-agnostic, in production. Connect it to Claude in two minutes — free trial, no credit card.

Cortex is a patent-pending semantic memory infrastructure developed by SKYNETLAB (Bergamo, Italy). Connected to your AI assistant as a remote MCP connector, it lets your conversations save decisions, context and sources — and find them again in every later session. Your AI remembers, and can show *why* it remembers.

🌐 Website: skynetlab-cortex.com · 📄 Patent · 📊 Benchmark · 📚 Paper · 💶 Pricing

🇮🇹 Versione italiana: README.it.md

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Why Cortex is not "just another memory plugin"

Most memory tools for AI agents record what the agent did and retrieve similar text later. Cortex models what is true and how reliable it is:

Cortex runs on globally distributed edge infrastructure operated in the European Union. The memory engine is covered by Italian patent application UIBM 102026000014026 (filed 15 May 2026).

Quick start — Claude (web / desktop / mobile)

Requirements: a Claude plan that supports custom connectors (the "Connectors" entry appears in Settings). No Cortex account needed beforehand — it is created on first sign-in.

1. In Claude open Settings → Connectors → Add custom connector
2. Paste this URL and confirm:

   https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp

1. Authorize access on the Cortex consent page (Google or email sign-in). Your personal memory space is created automatically, isolated from every other user.

That's it. Talk to Claude as usual: *"Remember that we chose supplier X"*, *"what did we decide about the budget?"*, *"show me the sources for this claim"*. Claude picks the right tool on its own.

Quick start — Claude Code

claude mcp add --transport http cortex https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp

Then authenticate when prompted (/mcp shows connection status).

Quick start — other MCP clients (stdio bridge)

For MCP clients that don't support remote connectors natively, use the mcp-remote bridge. Example configuration (see examples/):

{

"mcpServers": { "cortex": { "command": "npx", "args": ["-y", "mcp-remote", "https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp"] } } }

Quick start — this repository as a local stdio server

This repository also ships a small stdio MCP server (server/) that exposes the Cortex tools locally and forwards every call to the hosted service. It is meant for MCP clients, registries and evaluators that need a local process: it starts, lists its seven tools and answers introspection with no configuration at all; tool calls are forwarded when an access token is set.

git clone https://github.com/FilippoPilo/cortex-connector.git

cd cortex-connector npm install CORTEX_ACCESS_TOKEN= node server/index.js

Or with Docker:

docker build -t cortex-connector .

docker run -i --rm -e CORTEX_ACCESS_TOKEN= cortex-connector

npm test runs a self test (initialize, tools/list, one call without token).

The seven tools

Data & privacy

Memories are personal: each user only sees their own. They are exportable and deletable on request, and the infrastructure operates in the European Union. Details: Privacy Policy.

To disconnect, simply remove the connector from your client's settings; your memories remain in your Cortex account until you request their deletion.

Is this open source?

The Cortex memory engine is a hosted, patent-pending service — its source code is not published. This repository contains the public documentation, the client-side configuration examples and a small stdio bridge (server/) for connecting to it. Everything in this repository is released under the MIT License.

Support

📧 info@skynetlab.net · Contact page

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*Cortex is a SKYNETLAB product — independent research lab & deeptech studio, Bergamo, Italy. Founder: Filippo Pilotta (ORCID 0009-0000-5002-4199).*

*Some content and product outputs are generated or assisted by artificial intelligence, pursuant to Art. 50 of Reg. (EU) 2024/1689. AI transparency.*