# CortexGraph

> Use this tool when you need to create AI assistants with human-like memory dynamics, enabling them to learn and forget information over time. CortexGraph solves the problem of static knowledge retention in AI models, allowing for more realistic and adaptive interactions. It takes in AI model inputs and outputs dynamic memory states, making it ideal for use cases where contextual understanding and information retention are critical.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-cortexgraph  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-cortexgraph

## Description

A Model Context Protocol (MCP) server providing human-like memory dynamics for AI assistants, where memories naturally fade over time unless reinforced through use.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tahxuaxmao)
- **Repository:** <https://github.com/fastmcp-me/cortexgraph>

## 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": "fastmcp-me-cortexgraph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-cortexgraph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-cortexgraph/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