# NEXO Brain

> Use this tool when you need to simulate human-like memory processes for persistent and semantic information storage, and solve problems related to data retention, retrieval, and automation. It takes in various data types, including episodic events and credentials, and outputs trusted and consolidated information through interfaces like search and reminders. Ideal for applications requiring local, cloud-independent, and proactive memory management.

Canonical page: https://skillsregistry.net/skills/gh-wazionapps-nexo-brain  
JSON: https://api.skillsregistry.net/v1/skills/gh-wazionapps-nexo-brain

## Description

Provides a cognitive memory system modeled after human memory processes. Features include persistent memory across sessions with natural decay curves, semantic vector search, trust scoring, metacognitive error prevention, and automated memory consolidation. Offers tools across categories including memory management, episodic logging, credential storage, and proactive context-triggered reminders. All data stays local with no cloud dependencies.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-wazionapps-nexo-brain)
- **Repository:** <https://github.com/wazionapps/nexo>

## 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": "gh-wazionapps-nexo-brain"
    }
  }
}
```

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