# Cortex

> Use this tool when you need to retain project context and knowledge across sessions, eliminating redundant explanations and decisions. Cortex captures and recalls project architecture and history, providing a persistent memory for Claude Code projects. Ideal for long-term projects or collaborative work, Cortex streamlines workflow and enhances productivity by preserving valuable project context.

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

## Description

Persistent memory MCP server for Claude Code that captures and recalls project context across sessions, eliminating the need to re-explain architecture and decisions daily.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ww1174nplo)
- **Repository:** <https://github.com/ProductionLineHQ/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": "productionlinehq-cortex"
    }
  }
}
```

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