为什么值得关注

它通过提供按用户和按频道的独立作用域，解决了将个人助手扩展到整个公司的复杂性，同时保持模型无关和开源，避免供应商锁定，让初创企业拥有自己的部署。

适合谁使用

希望为每位员工提供个性化 AI 助手的初创企业
需要在 Slack 和网页端进行智能体协作的小团队
为组织构建内部工具和自定义技能的开发者
寻求自托管、私密 AI 代理基础设施的组织

典型使用场景

跨内部笔记、邮件、文档和数据库搜索与检索信息
构建、发布和维护内部 Web 应用，并保持数据最新
自动化代码仓库任务：运行测试、创建 PR、监控 CI、检查日志
在共享 Slack 频道中跟踪项目，定期发送更新和后续事项

项目优势

个人与共享作用域支持定制化和协作，互不干扰
Slack 和网页端使用统一身份和配置，体验一致
开源且模型无关，支持 Pi、OpenCode、Codex 和 Claude Code
可配置的安全策略（严格、自动、危险），并包含预声明命令规则

使用前须知

依赖 PostgreSQL 数据库，增加了运维成本
部署需要在运营者自己的云账户中搭建基础设施，且无内置 CI
通过私有分叉进行自定义时需谨慎处理，避免可见性和合并问题

README 快速开始

qm

A multiplayer agent harness for work. In Slack and on the web.

What is QM?

Most agents are designed like personal assistants. You can make one work for a whole company, but it quickly gets complex. QM is designed for startups. Employees each get their own isolated workspace and work independently without affecting each other, and they can also collaborate with the agent in channels, group messages, and projects.

Each person and each room has its own scoped memory, files, keychain view, permissions, crons, web apps, and durable sandbox.

It's built with open source in mind. Pick your own harness and model and switch between them — Pi, OpenCode, Codex, and Claude Code all drive the same core, so a deployment isn't tied to any single vendor.

Features

Personal and shared scopes. People customize the agent to be theirs, and still work with it collaboratively in Slack channels and projects.
Slack and web. The same identity and configuration carries between Slack and the web app.
Admin control. Set org-level configuration, a security posture, and which harnesses and models are available.
Web apps. Spin up custom internal apps and publish them to the right people.
Shared skills. Skills are scope-owned and shareable by grant, with admin-gated promotion to the whole org and skill packs imported from git repositories.
Background work. Crons and watches run work while nobody's watching.

What you can do with it

Search internal notes, email, documents, databases, and the web together
Retrieve information from your company brain
Build internal apps, publish them to the right people, and keep their data current
Learn your writing voice from past sends, then triage your inbox on a schedule — labels and reply drafts included
Work in an existing repository: run tests, open PRs, monitor CI, check system logs
Track a project in a shared channel and post updates and follow-ups

Architecture

flowchart LR
  DB[("Postgressessions · memory · queue")]

  subgraph CORE["Headless core"]
    API["API · identity · policy · scheduler"]
    LOOP["Agent loop(Pi, OpenCode, Claude Code)"]
    API  LOOP
  end

  SBX["Per-scope sandboxfiles · tools · logged-in services"]

  DB  API
  LOOP  SBX

Every turn runs through a central core, which can use a variety of models and harnesses to generate t

项目描述

Multiplayer agent harness for work

qm