commonly is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named commonly among their alternatives. The relationship is not symmetric — how commonly rates them is a separate judgement, made when commonly is analysed in its own right.
calls commonly “Cross-vendor agent rooms on your own infra; pick it to avoid OpenClaw lock-in.”
🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
calls commonly “Use when you want agent rooms with per-agent identity, memory, and skills on your own infra.”
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.
calls commonly “choose it when you want a shared human+agent room with per-agent memory rather than a cloud cluster you administer”
IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
calls commonly “Pick it for team rooms where each agent has its own memory, skills, and workstation on your own infra.”
A multi-model AI agent desktop client — connect any AI provider, extend with MCP & skills, control from your phone. Built with Electron + Next.js.
calls commonly “An open-source room/platform for human-agent teamwork instead of a code framework.”
Build autonomous AI agents in Python.