# nexo-rs

> nexo-rs — lordmacu-nexo-rs. Use this tool when you need to develop and manage multi-agent large language models (LLMs) with a unified framework, solving integration and workflow challenges across various platforms like WhatsApp, Telegram, Gmail, and browsers. It accepts inputs from multiple sources and outputs unified task flows, utilizing NATS broker, MCP client+server, and OAuth for seamless interactions. Ideal for use cases requiring durable TaskFlow workflows and MiniMax decision-making in a single binary application.

Canonical page: https://skillsregistry.net/skills/lordmacu-nexo-rs  
JSON: https://api.skillsregistry.net/v1/skills/lordmacu-nexo-rs

## Description

Rust multi-agent LLM framework — OpenClaw alternative. WhatsApp + Telegram + Gmail + browser agents on a single binary. NATS broker, MCP client+server, Claude/Anthropic OAuth, MiniMax, durable TaskFlow workflows.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/lordmacu/nexo-rs)

## 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": "lordmacu-nexo-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lordmacu-nexo-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lordmacu-nexo-rs/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