# mcp-neuralmemory

> mcp-neuralmemory — hexecu-mcp-neuralmemory. Use this tool when you need to enhance AI coding agents with persistent knowledge graph memory, enabling them to retain long-term context such as goals, strategies, and preferences. It integrates with platforms like Cursor, Windsurf, and VS Code via MCP, solving problems of contextual understanding and knowledge retention. Ideal for use cases requiring AI agents to learn from experience and adapt to complex coding tasks.

Canonical page: https://skillsregistry.net/skills/hexecu-mcp-neuralmemory  
JSON: https://api.skillsregistry.net/v1/skills/hexecu-mcp-neuralmemory

## Description

Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP.

## Trust

- **Trust score (0–1):** 0.02
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Hexecu/mcp-neuralmemory)

## 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": "hexecu-mcp-neuralmemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hexecu-mcp-neuralmemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hexecu-mcp-neuralmemory/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