# cortex

> cortex — gambletan-cortex. Use this tool when you need to securely store and manage data for personal AI agents, solving problems related to data privacy and synchronization across devices. It provides a local memory engine with AES-256-GCM encryption, fast ingest times, and cross-device sync capabilities. Ideal for use cases requiring private and efficient data management, with inputs including personal data and AI agent outputs, and outputs featuring synchronized and encrypted data storage.

Canonical page: https://skillsregistry.net/skills/gambletan-cortex  
JSON: https://api.skillsregistry.net/v1/skills/gambletan-cortex

## Description

Memory for AI agents that never leaves your device. Local-first, end-to-end-encrypted, zero-telemetry memory engine (Rust, MCP) — gives Claude & any MCP client persistent cross-session memory.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/gambletan/cortex)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gambletan-cortex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gambletan-cortex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gambletan-cortex/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt