Open SourceAug 4, 2026, 4:17 AM

Y Combinator Open-Sources QM: An MIT-Licensed Multiplayer Agent Harness That Runs In Slack And The Web

30-second summary

Y Combinator has open‑sourced QM, a multiplayer AI agent harness that runs in Slack and the web, under an MIT license.

TickrWire
Y Combinator Open-Sources QM: An MIT-Licensed Multiplayer Agent Harness That Runs In Slack And The Web
Key takeaways
  • QM is an MIT‑licensed framework for building multiplayer AI agents that operate inside Slack and web apps.
  • It supports multiple LLM backends, reducing dependence on any single vendor.
  • Each Slack channel receives isolated memory and sandboxed execution, enhancing security and modularity.
Full story

Y Combinator announced the open‑source release of QM, a multiplayer agent harness it uses internally for tasks ranging from accounting to engineering. The framework, licensed under MIT, provides each employee with an isolated workspace and assigns each Slack room its own scoped memory, file system, keychain view, permissions, scheduled jobs, web apps, and a durable sandbox.

QM's core is headless and can be driven by multiple large‑language‑model backends such as Pi, OpenCode, Codex, and Claude Code, allowing users to avoid vendor lock‑in. The release, dated July 31, 2026, includes documentation and examples for deploying the harness on both Slack and standard web environments.

By open‑sourcing QM, Y Combinator aims to enable other organizations to build collaborative AI agents that operate safely within defined contexts, potentially accelerating internal automation and developer productivity.

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Why this matters
Developers

Provides a ready‑to‑use, vendor‑agnostic platform for building collaborative AI agents.

Businesses

Enables secure, isolated AI workflows within existing communication tools.

Students

Offers a practical open‑source example of multi‑agent orchestration.

Everyone

Shows how AI can be embedded safely into everyday collaboration tools.

Glossary
multiplayer agent harness
A framework that lets multiple AI agents interact within shared or isolated environments.
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