# EverOS Codex

> EverOS Codex — gix9303-everos-codex. Use this tool when you need to enhance Codex's memory capabilities with a local EverOS instance, solving problems of limited memory and data retrieval. It provides a range of memory operations, including search, get, save, and flush, with automatic project ID inference, and accepts inputs such as queries and data to be stored. This tool is ideal for use cases requiring long-term memory and efficient data management, with outputs including retrieved data and confirmation of saved information.

Canonical page: https://skillsregistry.net/skills/gix9303-everos-codex  
JSON: https://api.skillsregistry.net/v1/skills/gix9303-everos-codex

## Description

Enables Codex to use a local EverOS instance as long-term memory through MCP. Supports memory operations like search, get, save, and flush with automatic project ID inference.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t5v6rqatwt)
- **Repository:** <https://github.com/gix9303/EverOS-Codex>

## 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": "gix9303-everos-codex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gix9303-everos-codex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gix9303-everos-codex/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