# Artel

> Use this tool when you need to unify and manage AI agents, providing them with shared semantic memory and streamlined communication. Artel solves problems of agent coordination, task management, and knowledge sharing, enabling seamless collaboration and handoffs between agents. It accepts HTTP requests as input and outputs shared resources and task assignments, making it ideal for AI teams requiring centralized infrastructure.

Canonical page: https://skillsregistry.net/skills/nicolasprimeau-artel  
JSON: https://api.skillsregistry.net/v1/skills/nicolasprimeau-artel

## Description

The infrastructure for AI teams: a self-hosted server that gives a fleet of agents shared semantic memory, tasks, direct messages, and session handoff. Any agent that speaks HTTP participates: Claude Code, AutoGen, raw API scripts, anything.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cnsi7hiiow)
- **Repository:** <https://github.com/NicolasPrimeau/artel>

## 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": "nicolasprimeau-artel"
    }
  }
}
```

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