Artel is listed as active in the registry but did not answer our last check. Last commit 20 Oct 2026.
Self-hosted shared-memory & coordination mesh for AI agent fleets. You host it; agents connect.
We read the source, 7 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
subprocess.Popen(shlex.split(wake_cmd))
function showTip(e,html){tip.innerHTML=html;tip.hidden=false;
&& curl -fsSL https://claude.ai/install.sh | bash \
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.
claude mcp add artel --transport http 'https://{artel_host}/mcp'
https://{artel_host}/mcp
[mcp_servers.artel]
url = "https://{artel_host}/mcp"
{
"mcpServers": {
"artel": {
"url": "https://{artel_host}/mcp"
}
}
}
{
"servers": {
"artel": {
"type": "http",
"url": "https://{artel_host}/mcp"
}
}
}
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://{artel_host}/mcp | streamable-http | answering | 9 ms | 2 min ago |
HYTHE — coordination bus + shared truth for AI agent fleets — self-hosted MCP server + stdio bridge.
Shared fleet memory for AI agents: nightly self-correction, recall every prompt (supported agents).
Hosted memory for AI agents over MCP. One memory shared by all your agents.
Shared memory & coordination for AI coding agents — a blackboard, not an orchestrator.
Code-pinned team memory for AI coding agents — typed artifacts, MCP-native, self-host.
Cross-platform shared memory and ticket coordination for AI agents across MCP clients.
Local-first shared memory and task coordination for AI coding agents. Go daemon plus headless CLI.
Shared debugging memory for AI coding agents
Answers built from our own checks of this server.