原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Hivemind

作者:Leonhest版本 0.1.1i★ –i在你的电脑上运行
注册名称io.github.Leonhest/hivemind

安装

概览

作者提供的说明(英文原文)

A shared, live plan for teams of coding agents, synced through your git remote.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "hivemind": {
      "command": "npx",
      "args": [
        "-y",
        "hivemind-agents",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add hivemind -- npx -y hivemind-agents mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "hivemind": {
      "command": "npx",
      "args": [
        "-y",
        "hivemind-agents",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "hivemind": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "hivemind-agents",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Leonhest 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1391 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1391 个服务器的 61% 更新
  • 基础检查结果等于或优于此分类中其他 1391 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Hivemind 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.1)于33天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

hivemind

A shared, live plan for teams of coding agents.

You split the work, everyone's agents go off and build, and an hour later the plan in each agent's head is stale: someone changed the User schema, someone else switched auth libraries, two agents are building the same endpoint. hivemind keeps one plan in sync across every agent on the team and puts teammates' changes into each agent's context at its next tool call.

npx hivemind-agents install

Run it once per machine. No server, no account, no room codes: the team is the git repo.

What your agent sees

Teammate's agent changes an API while yours is mid-task. A few seconds later, after its next command, your agent sees:

[hivemind] Teammates updated the shared plan since you last checked:

⚠️ BREAKING alice-3f2a1c updated contract: User.id: uuid (breaking) (was: int) 🎯 (overlaps files you touched) bob-91d0e4 added task: [doing] Signup form @bob-91d0e4

  • alice-3f2a1c added decision: JWT in an httpOnly cookie, not localStorage [inferred]

Check whether your current work depends on the breaking changes above and adapt it.

At session start it gets the whole plan: goals, contracts (API shapes, schemas, shared types), decisions, who's doing what, and open questions.

Starting a plan

Just ask your agent, e.g. *"We're 3 people building X this weekend. Make a plan for the team."* It records goals, contracts, decisions and tasks in hivemind (tasks unassigned, with dependencies), and each teammate's agent can claim one by key. You can also add things yourself with hivemind add or in the dashboard (hivemind open).

What belongs in the plan

The plan is for coordinating with teammates, not a log of each agent's work. Only what someone else needs to know or act on goes in: who is doing what, interfaces between people's work, team decisions, and questions for the team. An agent's own progress goes on its task. In a repo where only one person has ever worked, hivemind tracks just task status.

Plan and notebook

hivemind keeps two things apart:

  • The plan: goals, tasks, contracts, decisions, open questions. What the team agreed and is doing.
  • The notebook: status other people need, written on purpose (agents use note_add; the extractor never writes notes), expiring after 7 days: ("the lab box is busy until 14:00", "precision 0.82 on the eval set", "image built locally, not pushed"). Agents see the last 24 hours of notes at session start and can search the rest with notebook_get.

At session start agents see the most actionable things first (tasks in progress, then open tasks, contracts, decisions, questions, recent notes), with long sections capped so nothing important is cut off. Finished tasks and answered questions drop out of that view automatically.

Keeping the plan small

Plans that only grow stop being read. hivemind keeps them current on its own:

  • The extractor records less: contracts are only interfaces other people's work depends on (APIs, schemas, env vars, shared types), not component props or internal function signatures; decisions are only project-wide rules. It also sees recent commits, so finished work gets marked done.
  • A daily tidy (on plans with 40+ open entries, at most once a day per repo, by whoever's agent is active) closes what is superseded, duplicated or no longer true, marks tasks done that commits show finished, and moves status-like decisions to the notebook. Every change records its reason, and the run is logged in the notebook. Run it yourself with hivemind tidy (dry run) / hivemind tidy --apply.
  • Tasks get concluded: when an agent session ends, hivemind reads the end of its conversation and settles the tasks it worked on: done, todo (with what's left) or blocked. While a session runs, the extractor also checks its earlier tasks, so one it finished or moved on from doesn't stay "doing". A task that names a PR ("PR 123", "PR #123") is marked done as soon as that PR is merged into the main branch, whoever merged it and whichever session was told. Unfinished tasks and questions nobody touches for a week are closed as abandoned. A task stuck in progress shows "(no update for 6d)" until then.

When the plan changes direction

Plans change mid-hackathon. hivemind makes sure the old direction doesn't linger next to the new one:

  • New goals must say how they relate to existing ones: they *replace* them, or are a *competing proposal*. Competing goals are flagged to every agent ("the team hasn't picked one yet, ask the user") until someone resolves them.
  • Decisions and contracts can replace earlier ones, and agents are shown existing entries when they add new ones so they can spot contradictions. The background extractor removes entries that the work clearly abandoned.
  • hivemind review (or the plan_review tool) has the model check the whole plan for contradictions and suggest fixes (~15 s).

How it works

 your agent ── hooks ──► hivemind ──► .git/hivemind/state.json (local cache, read in ~30 ms)

│ background daemon: push your ref, fetch everyone's (every 3 s while active) │ origin: refs/hivemind/ (hidden refs, never branches)

  • Sync through git. Each person's plan entries live on their own hidden ref (refs/hivemind/ ) on your existing remote. Nobody ever writes to someone else's ref, so there are no merge conflicts. Branches, PRs and your working tree are never touched.
  • Updates arrive by themselves. Hooks add the full plan at session start, then only what changed since the agent last looked, with the most important items first.
  • The plan updates itself. When an agent finishes a turn, a background extractor reads only the new part of its transcript and pulls out the things teammates need: contracts, decisions and task progress, each with a quote as evidence. Agents can also publish explicitly through MCP tools (contract_publish, decision_log, task_add, task_claim, …), and they're told to for anything urgent.
  • Work doesn't go unrecorded. Before an agent's first file edit, if it has no task in progress it's asked to claim one (and shown the unclaimed tasks). After a turn that changed files, if neither the agent nor the extractor recorded anything, it's reminded to update its task.
  • Updates arrive in seconds. Typically 2–5 s from one agent's change to the other machine, then shown at that agent's next tool call.

Supported agents

AgentPlan at startUpdates mid-taskAuto-extractionNotes
Claude Code✅✅ every prompt and tool call✅
Codex CLI✅✅ every prompt and tool call✅Approve the hooks once with /hooks in Codex (Codex requires this for any new hook)
Cursor✅✅ after each tool call✅Built from Cursor's hook docs; not yet tested in a live Cursor session

install detects which of these you have and configures each one (--only=claude,codex to choose).

Claude Code plugin (alternative)
/plugin marketplace add Leonhest/hivemind

/plugin install hivemind@hivemind

Same hooks and MCP tools, no npm needed. Use either the plugin or npx … install, not both.

Commands

install puts a hivemind command on your PATH (or use npx hivemind-agents ).

hivemind status       who's in the plan, last sync

hivemind plan print the shared plan hivemind open live dashboard in your browser (and a form to add to the plan) hivemind review check the plan for contradictions hivemind tidy find finished, duplicate and outdated entries (--apply to clean up) hivemind add [--breaking] hivemind doctor check that everything is wired up hivemind disable turn hivemind off for this clone (hivemind enable to undo) hivemind uninstall remove hooks and MCP config (your repos' plan data is left alone)

Privacy and cost

  • Your plan data never leaves your git host. There's no hivemind server. Anyone with read access to the repo can read its plan refs, the same people who can read the code.
  • Public repo = public plan. hivemind detects public GitHub repos and tells your agent (and hivemind status) so nobody is surprised. Don't want that? hivemind disable turns it off for that clone; hivemind enable turns it back on.
  • Secrets are scrubbed. Every plan entry is checked for keys, tokens, passwords and connection-string credentials before it's written, and the extractor is instructed to leave out credentials, personal details, customer names and unfixed security issues.
  • Extraction runs on your machine with your own agent login. It calls claude -p with Haiku (or codex exec if you only have Codex) using your existing subscription or API key: about $0.005 per extraction on API pricing, or a small slice of your subscription usage. Set HIVEMIND_EXTRACTOR_BACKEND=none to turn it off and rely on the MCP tools only.
  • Only new parts of transcripts with real work in them (a request or a code change) get extracted. Read-only exploration is skipped.

Requirements and limits

  • macOS or Linux, Node 20+, git, and a repo with an origin remote you can push to (without push access you still receive updates, but can't share yours).
  • Tested with GitHub. Other hosts that accept custom refs should work; GitLab hasn't been tested yet.
  • Not inside a git repo, or no origin? hivemind stays out of the way.

Troubleshooting

Run hivemind doctor. Logs are in .git/hivemind/ in each repo (hivemind.log, daemon.log, extract.log).

License

MIT

问 PopNx