Navarch
Command a fleet of AI coding agents across every project
Navarch is a control plane for running coding agents across many projects at once. Instead of babysitting one agent in one terminal, you keep every client project moving from a single board: intake, backlog, queued, active, review, blocked, done, with work grouped into milestones and finished tasks pulled back when a PR needs another pass. You write a task, a crew claims it, and code comes back as an ordinary GitHub pull request with tests and evidence of the changed behavior. An independent review, CI, and your own merge policy decide whether it waits for you or goes through. Every change records who did it, why, and what proves it worked, so you can check the work rather than take someone's word for it. Steering is live. You can see which agent is on which task, on which machine, and send a correction mid-run; the agent picks it up in the same worktree instead of starting over. Decisions that need you — approvals, blocked work, stalled sessions, escalated reviews — land in one queue across every project, with in-app and Slack alerts for the exceptions. Cost stays visible: every session rolls into one ledger per project, with a budget that stops ordinary dispatch when the month's allocation is gone. Connect your own machine and sessions run under your Claude Code, Codex, or Gemini subscription, or use hosted compute with prepaid seats. Navarch is built for agencies and small engineering teams maintaining several products. Agents get room to work; people keep the authority to set direction.
Comments
Getting results back as normal GitHub PRs with tests, instead of a custom review UI, is a smart choice, since teams can keep their existing merge policy. How do the per-project budget caps behave when you bring your own Claude Code or Codex subscription? Is usage still tracked in the cost ledger, or only for hosted compute?
The board view with intake, backlog, active, review and blocked stages makes it easy to track coding agents across many client projects. I like that you can send a live correction into the same worktree instead of restarting the task. How does the independent review step decide when an agent's PR needs another pass versus being escalated to the human queue?
Sheng, the per-project budget that stops new dispatches is the feature agencies will care about most; that's the line between "agents are cheap" and a client invoice that doesn't add up. Is the cap enforced the same way when someone runs agents on their own Claude Code or Codex subscription? I googled "run multiple ai coding agents across client projects one dashboard" (Google, US settings): page 1 includes Vibe Kanban, a Reddit thread on running multiple coding agents, AgentsRoom, Warp's docs and MindStudio. Navarch isn't there yet, and that Reddit thread is full of the exact people you're building for. I run AI Knows Us, so this kind of search check is what I do.
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Comments
Getting results back as normal GitHub PRs with tests, instead of a custom review UI, is a smart choice, since teams can keep their existing merge policy. How do the per-project budget caps behave when you bring your own Claude Code or Codex subscription? Is usage still tracked in the cost ledger, or only for hosted compute?
The board view with intake, backlog, active, review and blocked stages makes it easy to track coding agents across many client projects. I like that you can send a live correction into the same worktree instead of restarting the task. How does the independent review step decide when an agent's PR needs another pass versus being escalated to the human queue?
Sheng, the per-project budget that stops new dispatches is the feature agencies will care about most; that's the line between "agents are cheap" and a client invoice that doesn't add up. Is the cap enforced the same way when someone runs agents on their own Claude Code or Codex subscription? I googled "run multiple ai coding agents across client projects one dashboard" (Google, US settings): page 1 includes Vibe Kanban, a Reddit thread on running multiple coding agents, AgentsRoom, Warp's docs and MindStudio. Navarch isn't there yet, and that Reddit thread is full of the exact people you're building for. I run AI Knows Us, so this kind of search check is what I do.
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