프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Hivemind

제작자: Leonhest버전 0.1.1i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.Leonhest/hivemind

설치

개요

제작자가 쓴 설명(영어 원문)

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

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 개발자 도구

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

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

터미널에서 이 명령어를 실행하세요

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

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

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

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

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

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Leonhest 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

개발자 도구 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 1389개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 1389개 중 61%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 1389개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Hivemind, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.1)은 33일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

GitHub

제작자: github

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

컴퓨터 또는 클라우드★ 34,245MIT3일 전 업데이트
설치

Desktop Commander

제작자: wonderwhy-er

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

내 컴퓨터에서 실행★ 10,225MIT15일 전 업데이트
설치

Cloudflare MCP

제작자: cloudflare

Cloudflare MCP servers

클라우드에서 실행★ 4,446Apache-2.014개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

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

PopNx에게 묻기