# Nuramem

> Nuramem — ai-nuramem-nuramem. Use this tool when you need to access a unified memory across multiple AI models, enabling seamless information sharing and retrieval. Nuramem solves the problem of fragmented knowledge by providing a single, shared memory that loads at the start of each AI session, streamlining workflows for individuals and teams. It accepts various inputs and provides a unified output, making it ideal for use cases where consistent knowledge sharing is crucial.

Canonical page: https://skillsregistry.net/skills/ai-nuramem-nuramem  
JSON: https://api.skillsregistry.net/v1/skills/ai-nuramem-nuramem

## Description

Cross-model memory for people and teams: one memory every AI you use loads at session start.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-15

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.nuramem%2Fnuramem)

## Use it

MCP endpoint published by the skill: `https://mcp.nuramem.ai/mcp`

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": "ai-nuramem-nuramem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-nuramem-nuramem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-nuramem-nuramem/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