# CORTEX Memory MCP

> Use this tool when you need to enhance AI agent memory with persistent semantic storage and retrieval, solving problems of knowledge retention and recall in applications requiring local data management. It accepts input data for storage and retrieval, and outputs relevant information based on hybrid search and LLM scoring. Ideal for use cases where autonomous AI agents require reliable, self-contained memory management.

Canonical page: https://skillsregistry.net/skills/alainrc2005-cortex-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alainrc2005-cortex-memory-mcp

## Description

Persistent semantic memory MCP server for AI agents with hybrid search, LLM scoring, and decay engine, fully local.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ilr92twr3z)
- **Repository:** <https://github.com/alainrc2005/cortex_memory_mcp>

## 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": "alainrc2005-cortex-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alainrc2005-cortex-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alainrc2005-cortex-memory-mcp/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