Tool profile
yc-software/qm
github.com
A multiplayer agent harness that lets teams work with AI agents in Slack and on the web.
What it does
yc-software/qm
QM is a multiplayer agent harness for work that gives each employee an isolated workspace with scoped memory, files, permissions, crons and a durable sandbox, while also supporting collaboration in channels and projects. It is aimed at startups and organizations that want to run agents on their own cloud with their own models and keys, switching between harnesses like Pi and Claude Code. It is written in TypeScript and offered as open source.
Tags
Categories
A concise summary has not been added yet.
FAQ
Frequently asked questions
- What is yc-software/qm?
- QM is a multiplayer agent harness for work that gives each employee an isolated workspace with scoped memory, files, permissions, crons and a durable sandbox, while also supporting collaboration in channels and projects. It is aimed at startups and organizations that want to run agents on their own cloud with their own models and keys, switching between harnesses like Pi and Claude Code. It is written in TypeScript and offered as open source.
- How much does yc-software/qm cost?
- yc-software/qm uses a Open source pricing model. Check the official website for current plans.
- What is yc-software/qm used for?
- yc-software/qm is listed on TolsAI under: Open Source.
- Where can I use yc-software/qm?
- yc-software/qm is available on its official website, github.com.
Explore
More in Open Source
An open-source agentic harness for a self-improving AI agent that plans and executes tasks you describe.
A vectorless, reasoning-based RAG engine that indexes documents as trees and retrieves with LLM reasoning.
A PyTorch-like Python library to build and auto-optimize LLM workflows such as chatbots, RAG and agents.
A modular web UI for generating images, video and audio with AI models like Stable Diffusion, Flux and Wan.
A step-by-step guide to designing AI systems built on LLMs, RAG, and AI agents.
Open-source AI pipeline engine for building, debugging and deploying LLM workflows and agent orchestration from your IDE.
Discussion
Discussion
Log in to join the discussion
No comments yet. Start the discussion.