When multiple coding Agents work together, choose a workspace or an orchestration system first?
Paperclip, OpenRig, and Orca address three different collaboration problems. First identify whether you need to manage task goals, cross-model collaboration, or multiple parallel workspaces, then decide whether to add tools.
What to consider
First, identify where the current chaos is occurring. If multiple agents can already complete tasks but lack clarity on goals, budgets, and approval responsibilities, start by examining Paperclip; if you want Codex and Claude Code to divide labor within a single coding task, look into OpenRig; if the challenge lies in viewing multiple coding sessions, workspaces, and code diffs simultaneously, Orca is closer to a workstation setup. While their repository descriptions support these positioning claims, our site has not yet conducted long-term practical tests, so stability cannot be judged solely based on feature lists.
First distinguish three practical problems.
Paperclip's README displays a management interface: assigning business goals to a group of Agents and tracking budgets and approvals. OpenRig's focus is narrower; it enables division of labor and review between Claude Code and Codex in coding tasks. Orca targets those running multiple coding sessions simultaneously, facilitating workspace and code diff viewing. They are all called Agent tools, but manage different things.
If you are currently developing alone in a single repository, there is no need to add a second layer of system for 'multi-agent.' Lay out the most recent delivery: were you waiting for another task to complete, or repeatedly reworking code during review? The real bottleneck might be unclear requirements or reviews failing to keep up; these two situations require different tools.
Beyond capabilities, consider the cost of introduction
Paperclip is a service and interface that must be run manually, meaning you need to consider continuous operation, permissions, and data boundaries. The OpenRig repository description lists running conditions such as Node.js and tmux, and warns that installation and setup will write to local configurations; read the listed file change instructions before proceeding. Orca provides desktop and mobile collaboration entry points and supports different CLI coding agents. Here, 'support' only indicates the integration scope declared by the project team, not that this site has verified every combination.
Start by testing with one real but roll-backable small task. Record how long it took from assigning the requirement to merging code, and where human intervention occurred; then check the additional permissions and ongoing costs required by the tool. If the trial only makes the interface look busier without reducing coordination or review costs, there is no need to integrate it into the team’s default workflow.
Making a choice with one reviewable experiment
Select a low-risk defect from an existing repository and ask the Agent to submit modifications, test results, and change descriptions. If the main issue is switching between sessions and manually checking differences, try a workspace like Orca first; if clear division of labor among different coding agents is needed, prioritize trying OpenRig; if the team already manages multiple long-running Agents and budgets, then evaluate Paperclip. Installing all three simultaneously makes it difficult to see which layer truly improves delivery.
This is a selection judgment based on three project READMEs, not a performance benchmark. Repository functions and installation requirements change; please verify the latest license and permission instructions before deployment, and clarify data storage locations. Real stability still needs to be verified by your own tasks.
Checked sources
The following sources support the project descriptions and reported facts. The analysis is by the site editors; claims from these sources are not presented as results from our own tests.