Hivemind runs on your own machine — the client starts it, so there is no endpoint to ping. 75 installs a week from npm. Last commit 15 Oct 2026.
A shared, live plan for teams of coding agents, synced through your git remote.
We read the source, 1 d ago · rules ccca72095570
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.
spawn(process.execPath, [process.argv[1], 'daemon'], { cwd: repo.root, detached: true, stdio: ['ignore', out, out] }).unref();
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.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add hivemind -- npx -y hivemind-agents
{
"mcpServers": {
"hivemind": {
"args": [
"-y",
"hivemind-agents"
],
"command": "npx"
}
}
}
[mcp_servers.hivemind]
command = "npx"
args = ["-y", "hivemind-agents"]
{
"mcpServers": {
"hivemind": {
"args": [
"-y",
"hivemind-agents"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"hivemind": {
"args": [
"-y",
"hivemind-agents"
],
"command": "npx"
}
}
}
Shared memory for coding agents. Stop re-explaining your codebase every session.
Shared memory for coding agents and their teams: docs, epics, tasks and decisions over MCP.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Tasks, comments, shared memory and handoffs for teams of people and AI agents, over MCP.
Error tracking for small teams and their coding agents.
AI work orchestration for plans, tasks, teams, and coding-agent dispatch.
Let agents manage your Figma workspace. 102 tools for seats, teams, offboarding, and cleanup.
Shared memory for teams and their AI agents: Markdown concepts with typed links in shared bundles.
Answers built from our own checks of this server.