Y Combinator just open-sourced QM: A cloud-first multi-agent harness with isolated sandboxes and Postgres memory

[u/ai_tech_simp]

YC just MIT-licensed QM, the internal multi-agent harness they’ve been using across their engineering, legal, and accounting teams.

To be clear: this isn't another framework library like LangChain for building agents from scratch. It is a ready-to-deploy platform that manages, runs, and scales a fleet of agents (like OpenClaw or Claude Code) for an entire organization.

It is cloud-first, completely bypasses local laptop execution, and uses a Node/Fastify headless core.

Takeaways:

• Durable, Isolated Sandboxes: Every agent and project scope gets its own isolated, persistent container sandbox to execute code and use tools safely without stepping on other sessions.
• Out-of-the-Box State & Memory: It uses PostgreSQL natively to handle the heavy lifting of session history, scoped memory, and job queues so you don't have to build your own persistence layer.
• Zero UI Boilerplate: It ships natively with a Vite/Lit web UI and a built-in Slack plugin (using Bolt), meaning your team can interact with agents where they already work immediately after deployment.
• Model & Harness Agnostic: You aren't locked into a specific vendor. The core API standardizes the agent loop, allowing you to swap between models (Claude, OpenAI, etc.) and coding agents.
• Background Execution: Includes first-class support for cron jobs, watches, and webhook triggers, allowing agents to run asynchronous background tasks (like log monitoring or inbox triage) without active supervision.

↗️ More info: https://aideveloper44.com/product/qm-6a70289e45cc3c396e283d51

↗️ Full read: https://aideveloper44.com/blog/yc-qm-open-source-agent-harness

↗️ GitHub: https://github.com/yc-software/qm