QM

QM

AI Agents
yc-software
Open SourceFree

About

A multiplayer agent harness for work: each team member gets their own isolated agent workspace with Slack and Web collaboration, shared memory, files, skills, cron jobs, and web app deployment.

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Our Verdict

Worth Trying

A promising multi-agent workspace for startups — personal agents with shared collaboration.

QM tackles a real problem: how to give each team member their own AI agent while enabling shared collaboration. The Slack + Web dual interface and multi-harness architecture are thoughtful design choices. Still young, but worth trying for startup teams.

Best for

  • Startup teams wanting a shared, multi-agent workspace with Slack integration and personal agent isolation.

Consider alternatives if

  • If you need a single-agent solution, consider Pi or Claude Code directly; for enterprise multi-agent orchestration, consider CrewAI or AutoGen.

Supported Platforms

Web AppWindowsmacOSLinuxAPI

Available platforms include Web App, Windows, macOS, Linux, and API.

Key Features

Each team member gets their own isolated agent workspace
Slack and Web dual interface with same identity and config
Per-scope memory: personal, shared channels, and projects
Admin control: org-level config, security posture, harness/model selection
Built-in cron jobs, keychain, file management, and sandbox
Custom web app deployment from agent conversations
Shared skills with granular access control and org-wide promotion
Multi-harness: works with Pi, OpenCode, Codex, and Claude Code

Pricing

free
Open source (MIT). Cloud-hosted version at qm.software.

Use Cases

Startup teams needing a shared AI agent workspace with Slack integration
Building internal tools and web apps via agent conversations
Multi-agent collaboration with personal and shared memory scopes

Pros

Unique multi-agent workspace design with personal/shared scopes
Slack + Web dual interface
Multi-harness architecture (not vendor-locked)
MIT licensed, active development
Built-in cron, keychain, sandbox, and web app deployment

Cons

Young project — ecosystem and community still developing
No topics set on GitHub repo (lower discoverability)
Documentation depth may vary

Latest Update

August 2026: QM continues active development with Slack and web interfaces, multi-harness support, and scoped memory/workspaces.

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