# Cortex Memory Engine

> Use this tool when you need to efficiently store and retrieve complex data, such as relationships between people or probabilistic beliefs, with high-speed encryption and minimal latency. The Cortex Memory Engine solves problems related to data management, knowledge graph construction, and uncertain reasoning, providing a 4-tier memory framework and Bayesian inference capabilities. It is ideal for applications requiring fast, secure, and local data processing, with inputs including data streams and outputs including encrypted memory storage and query results.

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

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.8.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.gambletan%2Fcortex)
- **Repository:** <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": "io-github-gambletan-cortex"
    }
  }
}
```

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