Shared agent rooms
Create a shared conversation inside a project so instructions, follow-up discussion, agent replies, and decisions remain available to the team instead of staying in separate private chats.
Pairon
Pairon is a shared AI coding workspace for teams using Claude Code, Codex, and OpenCode. It connects local computers and project folders so teammates can direct agents, review changes, and preserve project decisions together.
Multiplayer AI coding in shared project rooms
Pairon is a multiplayer AI coding workspace for teams using Claude Code, Codex, and OpenCode. It puts people and local coding agents in shared project conversations, connecting each instruction to a computer and project folder called a lane.
The product is designed to keep context, attribution, review, and decisions in one place while work is underway. Teams can invite viewers or collaborators, connect several computers, direct an agent together, review changes, and preserve decisions for subsequent work. Agents run on the connected computers rather than in a shared hosted coding environment.
Pairon starts with a Free workspace for two people and one project, and offers larger paid plans for additional people, projects, history, and team controls. The agent subscription remains separate from Pairon, and the account or computer owner running the agent remains responsible for that agent service.
Features
Multi-computer lanes
Connect multiple computers and folders as lanes in one conversation. Collaborators can choose an online lane, run instructions in order, and work on independent parts in parallel.
Role-based participation
Assign team roles for different levels of participation. Viewers can follow the work, while Collaborators can send instructions and approve requests within their scope.
Change review and conflict handling
Review changes from another lane, choose between conflicting edits with Keep mine or Keep theirs, or ask an agent to combine the copies before integrating the work.
Project context and memory
Save decisions to project memory and retain conversation history so later agents can recover important constraints without relying only on a private chat.
Desktop connections and notifications
Use the Mac or Windows app for connected computers, desktop notifications for agent requests, local file and app previews, and Quick Ask for sending instructions from another app.
Use cases
Debugging with shared context
Keep a reproducible bug, its constraints, teammate observations, agent reasoning, and verification in one room. A teammate can add missing context while the agent works instead of starting a separate investigation.
Parallel implementation
Split independent work across connected computers and lanes, run instructions in parallel, then compare edits and resolve conflicts before integrating the preferred result.
Pairing across computers
Let a teammate watch an active session, join when they have domain knowledge, and redirect a follow-up task to their own computer when the work belongs in another checkout or folder.
Maintaining project decisions
Record an architectural or implementation decision in project memory after review so future agents can see the team's conclusion and constraints before proposing another change.
Supervised team participation
Use a viewer role for stakeholders or teammates who need visibility into progress without permission to steer the agent, while collaborators handle instructions and approvals.
Pros and Cons
Pros
- Combines team discussion, agent instructions, review, and project decisions in one conversation.
- Supports multiple local computers and coding agents in parallel lanes, including hand-offs between teammates.
- Provides role-based participation, with free viewers and scoped collaboration controls.
- Keeps code on the connected computer while exposing live work to the shared session, according to the product guide.
- Offers a Free tier for two people and one project, plus a seven-day Team trial without a payment method.
Cons
- The coding agents and their subscriptions remain tied to the connected computers and the accounts running them; Pairon does not replace those agent services.
- The product depends on local computer connections and permissions, so teams must manage folder access and approvals on each computer.
- Some workflows, including Linux or server connections, use a command-line setup rather than the desktop app.
FAQ
Which coding agents does Pairon support?
Pairon supports Claude Code, Codex, and OpenCode on computers connected by the team. The agent uses the account on the computer running the instruction, and the computer owner controls folder access and higher-permission approvals.
How does a team set up a Pairon session?
A conversation is created inside a project, teammates are invited with roles, and a computer is connected by signing in and approving it. The desktop app supports Mac and Windows; Linux or server connections use a browser-guided command-line setup.
Can several people direct the same coding agent?
Viewers can read along. Collaborators can send instructions and approve requests within their scope, while the computer owner retains control over the connected computer's permissions. Administrators are also available as a team role.
Where does project code run and what information does Pairon store?
Pairon stores conversation text, instructions, and agent replies. File contents, diffs, and terminal output are relayed live rather than stored, according to the product guide. Code remains on the connected computer, subject to the computer's folder and approval settings.
Is there a free plan or trial?
The Free plan includes two people and one project, with unlimited watchers. A Free workspace can try Team for seven days without a payment method; paid plans are separate from subscriptions for Claude Code or Codex, which remain paid by the person whose computer runs the agent.
Quick Facts
- Category
- Developer Tool
- Primary users
- Software teams working with AI coding agents
- Supported agents
- Claude Code, Codex, and OpenCode
- Desktop platforms
- Mac and Windows; Linux and servers connect through the command line
- Free plan
- Two people, one project, unlimited watchers
- Core workflow
- Shared room, connected computer lanes, collaborative agent direction, and code review
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