# Cortex

> Cortex — subomi-olagoke-cortex. Use this tool when you need to manage AI memory efficiently, enabling persistent and auditable recall of important information while automatically pruning irrelevant details. Cortex solves the problem of information overload and memory management in AI agents, providing a transparent and self-maintaining memory system. It takes in AI data and outputs optimized, filtered information, making it ideal for use cases requiring reliable and efficient memory recall.

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

## Description

Provides transparent, self-pruning memory for AI agents via MCP, enabling persistent, auditable recall that automatically forgets unimportant details.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/whjyhjph88)
- **Repository:** <https://github.com/Subomi-olagoke/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": "subomi-olagoke-cortex"
    }
  }
}
```

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