# zerikai_memory

> zerikai_memory — kikeven-zerikai-memory. Use this tool when you need to persist data across IDE sessions with a standalone local MCP server, solving issues of lost workspace state and providing a seamless development experience. It takes in IDE requests and returns stored data, integrating with any IDE that supports MCP servers. Ideal for use cases where persistent, workspace-isolated memory is required, such as in development environments with frequent restarts or interruptions.

Canonical page: https://skillsregistry.net/skills/kikeven-zerikai-memory  
JSON: https://api.skillsregistry.net/v1/skills/kikeven-zerikai-memory

## Description

A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers

## Trust

- **Trust score (0–1):** 0.33
- **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/KikeVen/zerikai_memory)

## 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": "kikeven-zerikai-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kikeven-zerikai-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kikeven-zerikai-memory/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