# io.github.wazionapps/nexo

> Use this tool when you need to enhance AI agents with cognitive memory capabilities, solving problems related to knowledge retention and retrieval. It integrates the Atkinson-Shiffrin memory model, RAG, and knowledge graphs, providing a comprehensive interface for over 100 tools. This tool is ideal for use cases requiring advanced information storage and recall, such as complex decision-making and learning tasks.

Canonical page: https://skillsregistry.net/skills/io-github-wazionapps-nexo  
JSON: https://api.skillsregistry.net/v1/skills/io-github-wazionapps-nexo

## Description

Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.

## Trust

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

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.wazionapps%2Fnexo)

## 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": "io-github-wazionapps-nexo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-wazionapps-nexo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-wazionapps-nexo/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