Artel is listed as active in the registry but did not answer our last check. Last commit 18 Sep 2026.
Self-hosted shared-memory & coordination mesh for AI agent fleets. You host it; agents connect.
We read the source, 9 h ago · rules 3dff92dd89df
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;
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 6 min ago.
claude mcp add artel --transport http https://{artel_host}/mcp
{
"mcpServers": {
"artel": {
"url": "https://{artel_host}/mcp"
}
}
}
[mcp_servers.artel]
url = "https://{artel_host}/mcp"
{
"mcpServers": {
"artel": {
"url": "https://{artel_host}/mcp"
}
}
}
{
"mcpServers": {
"artel": {
"url": "https://{artel_host}/mcp"
}
}
}
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://{artel_host}/mcp | streamable-http | answering | 2 ms | 6 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).
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
Coordination for AI coding agents: declare plans, catch design conflicts early, share team memory.
Answers built from our own checks of this server.