# agentmemory-codex-windows

> agentmemory-codex-windows — m-t-d-n-agentmemory-codex-windows. Use this tool when you need to enhance your OpenAI Codex experience on Windows with persistent project memory and federated recall capabilities. It solves problems of knowledge retention and recall across projects, providing a seamless interface for managing hooks, memory, and graph extraction. Ideal for use cases involving complex project management and version control, such as git-based workflows.

Canonical page: https://skillsregistry.net/skills/m-t-d-n-agentmemory-codex-windows  
JSON: https://api.skillsregistry.net/v1/skills/m-t-d-n-agentmemory-codex-windows

## Description

Independent Windows-native AgentMemory downstream for OpenAI Codex Desktop and CLI, with managed hooks, persistent project-scoped memory, federated recall, and optional local graph extraction.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/M-T-D-N/agentmemory-codex-windows)

## 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": "m-t-d-n-agentmemory-codex-windows"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m-t-d-n-agentmemory-codex-windows` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m-t-d-n-agentmemory-codex-windows/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