One agent, set up your way
Give a single agent a role and the skills it needs. Use it day to day and keep refining its setup as you learn what works.
An open source playground and meta-harness for developers who want to go beyond a coding agent's default setup. Bring Claude Code, Codex, and others into one ecosystem.
Create agents → build teams → assign a team to a room → give it a task. Open another room with the same team or a different one, give it another task, and repeat.
AgentsCommanderYour agents. Your way.Keep roles, skills, and recorded experience in your own repository. You decide which agents exist and how they work: alone, or grouped into rooms with an orchestrator.
Give a single agent a role and the skills it needs. Use it day to day and keep refining its setup as you learn what works.
Define a team once and open it as a room for each task. The orchestrator coordinates the agents you assigned, each with its own role and skills.
Trace how your agents work. Roles, skills, messages, recorded errors, plans, and notes stay as plain text files that you, or a team of agents you’ve set up for that task, can read, review, and version.
This lets you build teams for different tasks and increase your productivity as you gain experience and refine how they work.
.ac/lives in your repository_agent_<name>/Role.mdrole you define_agent_<name>/skills/skills you maintain_agent_<name>/memory/notes your agents writeroom-<n>-<team>/messaging/messages they exchangeerrors/errors they recordplans/plans you reviewYour coding agents keep their own tools and behavior. AgentsCommander adds the layer around them, so you can refine their setup and automate how they run and coordinate, solo or in teams.
Each agent runs as a local terminal session of the coding-agent CLI you already use, so prompts, failures, and progress stay visible.
Give a room orchestrator a goal. It sends markdown briefs to the agents you assigned and collects their replies as messages you can inspect.
Inter-agent messages are timestamped markdown files. Read them, diff them, archive them, or debug them with normal developer tools.
On long work, an agent can write a resume note, clear its own context, and continue from the task state captured in that file.
Rerun a task with a different role, skill, or CLI profile, then compare the terminal output, messages, tests, and diffs.
Watch orchestrators and agents side by side, with running, waiting, and exited states, from one desktop window.
Pick one of two ways. You bring your own CLIs, accounts, and model access.
Share what you learn. Help build a common way to configure, automate, and use different coding agents from one place.