Navarch is developed by SagentLab and is aimed at small software teams and agencies already using coding agents. Its core goal is to reduce the time spent managing coding agents: turning clearly scoped GitHub issues into tested, reviewable pull requests, automatically assigning work, handling failed checks, and responding to review feedback.
In terms of main capabilities, Navarch supports Claude Code, Codex, and Antigravity. You set budgets, resolve blockers, and approve what gets merged. It provides a task board with states such as intake, backlog, queued, active, review, blocked, and done, can group by milestone, and pulls completed tasks back when a PR needs to be handled again. Real-time session control lets users see which agent is executing which task on which machine, and send corrections during a run; the agent continues in the same worktree rather than starting over. Pull requests do not need to be found in tabs; you can open the PR directly from the task, read the diff, inspect the evidence, and merge, with tasks, review rounds, CI, and GitHub staying in sync. The approval inbox centralizes what needs sign-off, blocked work, stalled sessions, and escalated reviews. The project timeline is non-editable, every state change is appended as a record, and in-app and Slack alerts push anomalies.
In terms of usage, users first create an account, connect a GitHub repository, and choose managed execution or their own agents. Queue a scoped bug or improvement, provide clear acceptance criteria, then review the generated pull request and check results before deciding to merge. The workflow has three steps: the agent writes code and opens a PR; Navarch coordinates the work, assigns ready tasks, sends failed checks and review feedback back for rework, and presents cross-project blockers in one place; the user makes decisions, setting scope and budget, resolving blockers, reviewing PRs, inspecting checks and evidence, with merge policy and designated approvers controlling final delivery.
Applicable scenarios include: founders and independent developers working through backlog; agencies and consultancies keeping work moving across multiple clients and multiple repositories; engineering leads reducing time spent checking delivery; product managers tracking customer requests through to inspectable results; QA and release leads reducing time spent chasing release evidence; software agencies can use one client backlog for a two-week pilot, one repository, five bounded issues, a designated reviewer, agreeing on scope and spending limits first, then evaluating delivery changes and team review time.
In terms of limitations, pilot pricingNot disclosed; a scope quote must be requested; the product pricing page lists software seat plans, not pilot fees. Budget acts as a scheduling gate rather than a hard cap: when the budget has been reached, normal scheduling pauses, but already running sessions can complete and increase spend; sessions with unknown cost (such as Antigravity) are not counted. For hosted runs, when the credit balance reaches $0, new hosted runs wait. Each machine is bound to only one project. Runtime updates wait for active sessions to complete, check packages before installation, and roll back if the new process does not start healthily. Blind spots include: success criteria and pilot terms are agreed before work begins, results come from the user's own pilot, and no acceleration or savings figures are assumed; the user must bring their own machine or use hosted execution, and hosted execution includes a monthly hosting credit. Specific pricing, platform support details, and the full feature list are not yet provided.
