Commons

Name: Commons
Author: Neoo-Blue

제작자: Neoo-Blue버전 0.36.1i★ –i내 컴퓨터에서 실행

레지스트리 이름io.github.Neoo-Blue/commons-memory

설치

개요

제작자가 쓴 설명(영어 원문)

Shared memory, work claims and handoffs so parallel AI coding sessions stop colliding.

PopNx MCP의 세 기둥

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

사용자 의견i아직 리뷰가 없어요리뷰는 다음 단계에서 계정 기능과 함께 열려요
우리의 기본 점검i1개 중 1개 통과공개된 정보로 점검했으며, 코드는 아직 스캔하지 않았어요
사용 정도i아직 측정 안 함★ –

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: 검색 및 AI 기억

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.
직접 입력할 값: COMMONS_AGENT, COMMONS_TOOLS

필요한 것

DockerDocker 설치

어떤 앱을 쓰세요?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "commons-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "COMMONS_AGENT",
        "-e",
        "COMMONS_TOOLS",
        "ghcr.io/neoo-blue/commons-memory:0.36.1",
        "serve",
        "--transport",
        "stdio"
      ],
      "env": {
        "COMMONS_AGENT": "your-value",
        "COMMONS_TOOLS": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add commons-memory --env COMMONS_AGENT=your-value --env COMMONS_TOOLS=your-value -- docker run -i --rm -e COMMONS_AGENT -e COMMONS_TOOLS ghcr.io/neoo-blue/commons-memory:0.36.1 serve --transport stdio

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "commons-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "COMMONS_AGENT",
        "-e",
        "COMMONS_TOOLS",
        "ghcr.io/neoo-blue/commons-memory:0.36.1",
        "serve",
        "--transport",
        "stdio"
      ],
      "env": {
        "COMMONS_AGENT": "your-value",
        "COMMONS_TOOLS": "your-value"
      }
    }
  }
}

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": {
    "commons-memory": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "COMMONS_AGENT",
        "-e",
        "COMMONS_TOOLS",
        "ghcr.io/neoo-blue/commons-memory:0.36.1",
        "serve",
        "--transport",
        "stdio"
      ],
      "env": {
        "COMMONS_AGENT": "your-value",
        "COMMONS_TOOLS": "your-value"
      }
    }
  }
}

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.

직접 입력할 값

COMMONS_AGENT env
Name this client goes by in Commons
COMMONS_TOOLS env
Tool listing: lite, core or all

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 Neoo-Blue 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

검색 및 AI 기억 카테고리의 다른 서버와 비교i

이 카테고리의 다른 서버 7245개 중 0%보다 스타가 많아요
이 카테고리의 다른 서버 7245개 중 67%보다 최근에 레지스트리에 공개됐어요
기본 점검 결과가 이 카테고리의 다른 서버 7245개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Commons, 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(0.36.1)은 19일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

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

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

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

Context7

제작자: upstash

Up-to-date docs for AI agents

컴퓨터 또는 클라우드★ 64,224MIT오늘 업데이트

설치

Codebase Memory

제작자: DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

내 컴퓨터에서 실행★ 48,148MIT20일 전 업데이트

설치

Exa

제작자: exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

클라우드에서 실행★ 5,213MIT지난달 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.

Commons

Run several Claude Code sessions at once without them redoing or overwriting each other's work.

Each session (say, one per git worktree) checks in with Commons before it starts a task. If another session already has it, it hears so and backs off. Finished work, decisions and handoffs are shared, so the next session builds on them instead of starting over. Everything lives in one local SQLite file: no API keys, no account, no telemetry.

/plugin marketplace add Neoo-Blue/commons-memory

/plugin install commons@commons-memory

Needs uv. Each folder is one agent (claude-code@ ), so run parallel sessions in separate worktrees or checkouts with different folder names.

Two sessions, two worktrees, same task:

claude-code@payments-fix   start_work("fix the payments retry", paths=["pay.py"])

-> ok: it's yours, others are warned off claude-code@billing-ui start_work("fix the payments retry", paths=["pay.py"]) -> busy: claude-code@payments-fix has it since 02:33. msg_send them to split it, or wait for their finish_work.

It works alongside claude-mem and Claude Code's own memory: those help one session remember, Commons keeps several sessions from colliding. The plugin lists 19 tools (memory and coordination only). Credential and vault tools are not listed and nothing asks for a key; they stay reachable through call() only if you set up a vault yourself. How it stays safe: docs/threat-model.md.

Beyond one machine: the hub

The same Commons runs as a small self-hosted hub, so sessions on different machines, and other AIs (Codex, Cursor, Gemini CLI, ChatGPT, Grok), share one view of who is doing what.

Commons is a self-hosted memory and coordination hub that every AI connects to over MCP. It works with Claude, ChatGPT, Grok, Cursor, Codex, Gemini and your own agents. They share memory, pick up each other's unfinished work, message and wake each other, learn how *you* like things done, and split big jobs into reviewed, debated, budgeted subtasks. One SQLite file (or Postgres) holds it all. A dashboard shows who is doing what and what it costs.

curl -fsSL https://raw.githubusercontent.com/Neoo-Blue/commons-memory/main/install.sh | sh

irm https://raw.githubusercontent.com/Neoo-Blue/commons-memory/main/install.ps1 | iex     # Windows

Docker: see docs/docker.md. Prefer to read it first? curl -fsSLO https://raw.githubusercontent.com/Neoo-Blue/commons-memory/main/install.sh && less install.sh && sh install.sh. No-script alternatives: uvx --from git+https://github.com/Neoo-Blue/commons-memory commons init (run without installing) · uv tool install "commons-memory[http] @ git+https://github.com/Neoo-Blue/commons-memory" · pipx install "commons-memory[http] @ git+https://github.com/Neoo-Blue/commons-memory"

Quickstart · Feature tour · Architecture · Connect any AI · Screenshots · Multi-agent · Security · Networking · Configuration · Troubleshooting · FAQ · Comparison · Roadmap · Changelog

Onboarding (self-hosted hub)

Copy .env.example to .env, create the three secret files it lists (dashboard token, Postgres password, vault key), then docker compose up -d (docker-compose.yml; the comments explain every option).
Open the dashboard and go to Setup. A checklist shows what is missing:

provider keys: TypeSafe (Jev), Anthropic, OpenAI, Google, xAI, OpenRouter, or a local Ollama;
the decision agent's fallback order;
your service credentials;
features, all on by default.

Keys are stored encrypted in the vault and never shown again.

Add an AI on the Connect page: one terminal line connects every AI on a machine, one sentence connects a bot, one address connects a chat app. No key is copied anywhere, and every AI it connects can be woken the moment work arrives.
Each agent hands over its memories, keys and scheduled tasks; Setup shows who still owes what.

2-minute quickstart

# 1. install (above) — this also runs `commons init` (~/.commons/commons.db)

2. connect your first AI: registers it, saves its key, installs its skill + MCP config

commons connect claude --platform claude-code # or: cursor | codex | claude-desktop | grok | generic

3. use it — from the CLI or from the AI ("remember that…", "what did we decide about…")

commons remember "Payments use Stripe webhooks; retries are idempotent" --project shop commons search "how do payments retry"

4. watch everything (no token needed on localhost)

commons dashboard # http://127.0.0.1:8766

Connect a second AI the same way and it can see the first one's memory immediately. Each client lists only the 32 core tools (6.1k tokens, against 40.4k for all 186); `tools(query)` finds the other 154 and `call(tool, args)` runs them. For other AIs (ChatGPT, Grok, Muse…), paste [the universal prompt](#connect-any-ai).

Feature tour

Area	What you get	Learn more
Infrastructure map	One layered map of where everything runs and how it connects: machines, LXCs and VMs, containers, services, URLs and ports, tunnels, storage and bind mounts, repos, systems (e.g. Plex: its parts and the guest each runs on) and the vault credential each uses (name only). Built from a read-only collector (`commons infra collect --submit`, or `commons infra install` to run it on a schedule) and from your memories (a small model extracts stated facts, each citing its notes), merged by vmid, IP and URL. Zoomable map, inventory and drawers on the dashboard; agents ask `infra("plex")`	docs/guide.md
Memory & knowledge	Hybrid search (BM25 + local fastembed vectors, entity/time/recency signals, optional rerank) with token budgets · `context=N` returns the turns around each short hit (a reply needs the turn it answers; a long turn stands alone) and relative dates resolve against each memory's own date ("yesterday (7 May 2023)") · free-text contradiction flags (TypeSafe) · auto-capture hooks for Claude Code/Codex/Gemini/Cursor that keep every message and reply verbatim plus typed observations, and a `turn` hook for chat apps without hooks (docs/hooks.md) · one graph linking memory, code, sessions, agents · code index (Python, JS/TS, Go, Rust, Java, Ruby, C, C++, C#) plus live definitions, references and types from each language's own server (`code_lookup`, LSP) · Graphiti adapter (mirror memories into a temporal knowledge graph, bring its facts back) · conflict detection · auto-built, cited knowledge base per project · librarian that tidies and answers `find()`	docs/tools.md
Project board	Every request you make, in your words, with the targets (metric, goal, current), expectations, actions and deliveries under it, layer by layer (`project / ui/dashboard`). Done needs evidence, dropped needs a reason, and asking twice is counted. It leads every agent's check-in, so nothing you asked for is lost to context compaction or an agent switch. Agents' questions for you wait under "Needs you" and your answer goes straight back to them	docs/tools.md
No duplicate work	`start_work` checks every task against what other agents are doing now and what was finished, so two agents never build the same thing and nobody redoes finished work; hooks run the same check on every message. Each agent gets the Commons routine on its first check-in, so you never have to explain it	PROMPT.md
Credential vault	Commons stores your API keys and logins encrypted and makes calls for agents, so no agent ever sees a key, and a key only ever goes to its own service. A decision agent rules on each request: sound reads are allowed, writes need your request behind them, anything destructive or costly comes to you as an approval link the agent hands you: one page showing the exact request, approved with your owner password (agents can't), and approving runs it. Or switch on "approve everything" at your own risk, or always allow one key. It is an order you choose (TypeSafe, any provider you have a key for, a live connected agent on its own subscription, then you), and a phone notification with Yes / No buttons lets you answer anywhere. Agents creating accounts get a generated username and password from the vault · an agent deposits a key the moment it gets one; the base URLs it may go to can follow, and until then it goes nowhere · each key records what it is for, what it can do at the provider, and every place it is installed or used, linked on the infrastructure map, so it can be rotated or narrowed without guessing	CHANGELOG.md
Team awareness	A live Team now view (who is working, blocked, done or waiting on you) · a card per agent that the hub writes from what it can check (who issued its key and when, where it runs, how it is woken, its usage headroom, its schedules, the work it finished), kept apart from what the agent claims, with `who(name)` to read it · agents meet a newcomer at their next check-in instead of a broadcast that would wake and bill every agent, and a newcomer gets the whole team at its first · display names only you set, so `grok` reads as "Grok bot" while messages still reach it, and no agent can name itself after another · introductions you ask for: one note to each, nobody else woken · every release tells all agents what changed and what to adapt · handoffs carry a commit Commons checks on GitHub · failed CI runs, new issues and new PRs (GitHub watcher or webhook) become jobs for the best live agent	CHANGELOG.md
Continuity	Sessions, checkpoints, handoffs that resume in another AI · layered context packs (L0 gist → L3 full) so the next AI doesn't re-pay tokens · decisions with rationale and `why()` · leftovers and recurring jobs	docs/guide.md
Teamwork	Submit a task and it is split for the team: a model plans it (Haiku by default), else a live agent does, else keyword rules, sized to who is live, what each agent is good at and its usage left. Big hand-offs are planned too, and an agent can split a subtask it holds and merge the parts. Six-stage workflow (`submit_task(pattern="sdlc")` or `/sdlc`, or one stage with `/spec` `/plan` `/build` `/test` `/review` `/ship`): you approve the spec and confirm the release from the board or your phone, stage leads hand out task cards up to 3 levels deep, each card goes to a cheap, mid or top model and effort by difficulty x criticality (on the agent's own CLI), and the Workflow page shows the stage spine, the agent tree, traceability and tokens saved. Patterns: plan → parallel parts each gated by a review → summary; work → cross-review (author ≠ reviewer); debate → judge; consensus vote. Every job has a shared workspace: each part's result, the code it changed (diff, commit checked on GitHub, also captured by the hooks) and any files, on one timeline with an agent filter. Pin a step to a named agent (retries stay with it), quality gates, budgets, leases with automatic reassignment, an escalation ladder, routing to the right agent + model + effort by strengths, past success, speed, price and usage left, multi-project scheduling, task breakdown view	docs/guide.md, docs/multitasking.md

| Limits & schedules | Each agent's 5-hour a

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

Commons

개요

PopNx MCP의 세 기둥

할 수 있는 일

설치

설치하기 전에

직접 입력할 값

할 수 있는 일

기본 점검i

제작자와 저장소 일치

계속 관리되고 있음

라이선스 있음

엔드포인트 응답

OAuth로 로그인

도구 설명에 숨겨진 지시 없음

검색 및 AI 기억 카테고리의 다른 서버와 비교i

자주 묻는 질문

대안

Context7

Codebase Memory

Exa

제작자의 README

Commons

Beyond one machine: the hub

Contents

Onboarding (self-hosted hub)

2-minute quickstart

2. connect your first AI: registers it, saves its key, installs its skill + MCP config

3. use it — from the CLI or from the AI ("remember that…", "what did we decide about…")

4. watch everything (no token needed on localhost)

Feature tour