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Patented semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
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Patented semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Remote endpoints: streamable-http: https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
6 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-filippopilo-cortex": {
"url": "https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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-protected 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

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:
| Capability | What it means |
|---|---|
| Quality Gate on write | Every memory passes a novelty/redundancy check before being stored. No junk accumulation. |
| Typed claims & conflict tracking | Facts are extracted as claims; contradictions between memories are detected and tracked, not silently overwritten. |
| Knowledge graph | Memories are linked by entities and typed relations, not just vector similarity. |
| Coherence metric (Ψ_C) | Each memory carries a native coherence score — the system knows how well a memory fits what it already knows. |
| Memory consolidation ("REM") | A continuous background cycle consolidates episodic memories into long-term knowledge. |
| Transparent evidence | Answers can cite the memories and sources they come from. |
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.
-
In Claude open Settings → Connectors → Add custom connector
-
Paste this URL and confirm:
https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp -
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"]
}
}
}
The six tools
| Tool | Type | Description |
|---|---|---|
| Search memories | read | Semantic search across your memories |
| Fetch memory | read | Full detail of one memory, with its sources |
| Recall & synthesize | read | Narrative synthesis of what Cortex knows about a topic |
| Show conflicts | read | Tracked contradictions between memories |
| Save memory | write | Stores a memory — after a quality check against duplicates and redundancy |
| Forget memory | destructive | Deletes a memory — always with explicit confirmation |
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-protected service — its source code is not published. This repository contains the public documentation and client-side configuration examples for connecting to it. Everything in this repository is released under the MIT License.
Support
📧 info@skynetlab.net · Contact page
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.
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