# Cortex

> Use this tool when you need to efficiently manage and retrieve AI memories, enabling agents to learn from past experiences and make informed decisions. Cortex solves problems related to knowledge retention, information overload, and context switching, providing a robust interface for saving, searching, and managing memories. It is ideal for use cases where agents require direct access to their memories via MCP tools, streamlining the learning and decision-making process.

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

## Description

Local-first AI memory layer with hybrid retrieval and brain-inspired namespaces. Enables agents to save, search, and manage memories directly via MCP tools.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/th8oxs856q)
- **Repository:** <https://github.com/ryanfrigo/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": "ryanfrigo-cortex"
    }
  }
}
```

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