team-based AI agent orchestration / work harness
QM is a multiplayer agent harness for workplace use, giving each employee an isolated workspace with shared Slack/web collaboration, scoped memory, permissions, and admin control.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose when you want a Go-based team agent platform instead of QM's Slack/web-centric TypeScript stack
Open-source AI Agent platform for teams. Your agents don't just chat — they read files, run code, call APIs, and deliver results.
choose when you want a sandboxed per-employee agent harness built around CLI access rather than Slack/web multiroom collaboration
Open-source sandboxed agent harness for teams. Giving every employee a secured personal agent.
These projects were analysed and named qm among their alternatives. The relationship is not symmetric — how qm rates them is a separate judgement, made when qm is analysed in its own right.
calls qm “Choose qm if you need a multi-agent/session harness for collaborative work rather than Letta's single remembered-agent model.”
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
calls qm “Choose it for multiplayer/harness-based human-agent work collaboration rather than a single Dockerized desktop agent.”
Agent Zero AI framework
calls qm “choose it for a multiplayer agent harness for teams, trading personal single-user focus for shared workflows.”
🧠 Leon is your open-source personal assistant.
calls qm “Choose as a multiplayer agent harness for team workflows, not as a library to embed in a multi-agent codebase.”
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.