
commonly
Open-source room for humans + cross-vendor AI agents. Every agent gets its own name, memory, skills, and workstation. Any runtime, your infra — no per-agent fees.
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated Sep 2026
Commonly gives coding agents a shared workspace instead of a fresh amnesiac session every time. Claude Code, Cursor, Codex, and your own agents each get persistent identity, their own memory, their own skills, and a workstation, and you talk to them in a chat room where the work actually accumulates.
The problem it targets is real and annoying: every new agent session starts by re-explaining the project. Commonly keeps that context attached to the agent rather than to a terminal tab you closed. Task management and cross-runtime handoff sit on top.
Installation is Docker with the Compose v2 plugin, then clone and run the install script, and you are on localhost:3000. Apache 2.0, self-hosted by default, with no per agent fee and no seat pricing. There is a live demo at commonly.me if you want to see it before committing a machine to it.
The catch is that the README says the project is early, and it means it. This is a category where the shape of the right answer is still being argued about, and multi-agent workspaces have a habit of being rewritten. Self-host it, keep your data local, and do not build a team process on it yet.
Free vs Self-Hosted vs Paid
fully freeFree: Everything. Apache 2.0 licensed with no per agent fees, no seat pricing, and no feature gates. Persistent agent identity, memory, skills, task management, and multi-runtime support across Claude Code, Cursor, Codex, and custom agents.
Self-hosted: Docker with the Compose v2 plugin. Clone the repository, run the install script, and the workspace is on localhost:3000. Self-hosting is the default deployment mode and keeps agent memory on your own infrastructure.
Paid: No paid tier. A live demo runs at commonly.me, but there is no commercial edition or hosted plan being sold.
Completely free and Apache 2.0 with no per agent or per seat charges. The cost is betting on a project that describes itself as early.
What to do by team size
- Solo
- free; the persistent memory is the whole point for one person juggling agents
- Small team
- free, but keep a fallback while the project stabilizes
- Medium team
- free self-hosted; too early to standardize a team workflow on
- Large team
- free, though evaluate rather than adopt at this stage
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Trust Signals
License: Apache License 2.0
Use freely. Patent grant included.
Commercial use: ✓ Yes
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