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Sat 17 Oct 13:35 UTC
Self-Hostedevaluationupdated 26 Aug 2026

remote.futrx review

Remote by FutrX is a self-hosted browser workspace that gives each AI coding project a persistent Linux container, IDE, terminal, files, Git view, live previews, and a shared browser. It runs Codex, Claude Code, Kimi, or Antigravity on a server so work can continue after the developer closes the laptop.

+9stars / 7d
Verdict

Our Remote backend built in 9 seconds, but 2 of 56 Go tests failed and the supplied log tail did not identify them. Version 0.6.0 is still an early, fast-moving system that makes sense for a skilled self-hoster who wants durable Codex and Claude Code workspaces behind one browser. Do not install it on a server you cannot recover through SSH keys, and do not treat shared-kernel LXC containers or persistent project storage as stronger isolation or backup than the documentation claims.

We ran it

Lab card: what happened when we ran remote.futrxScreenshot of remote.futrx (remote.futrx.com)
Install✓ · 88s119 packages
Build✓ · 9s
Tests✗ · 43s54 passed · 2 failed of 56 (go test)
Repo716 files~63,700 lines of source · 14.4 MB · 2 CI workflows

Answers from our run

Does remote.futrx build from source?

Dependencies installed in 88 seconds (119 packages), and the build succeeded in 9 seconds. We cloned commit 8b1b65b into a clean Debian container with 3 CPUs and no project-specific setup.

Do remote.futrx's tests pass?

No. The project's own test command finished in 43 seconds and reported 54 passed, 2 failed (go test).

Who should not use remote.futrx?

Anyone without a fresh server, root or sudo access, wildcard DNS, an SSH key, and open ports 80 and 443: the quick start requires all of them.

What are the alternatives to remote.futrx?

Coder, Daytona, Gitpod. Our Remote backend built in 9 seconds, but 2 of 56 Go tests failed and the supplied log tail did not identify them.

Setup2/59-second build; full install changes SSH and needs DNS plus LXC
Docs5/5Prerequisites, SSH change, isolation, storage, and updates are plain
Community3/5438 stars and 25 issues and PRs in an active young project
Maturity2/5v0.6.0 is active, but 2 of 56 backend tests failed here

Discussed on

  1. hnGive every AI project its own computer5 points

Who it’s for

Small teams with a dedicated Ubuntu or Debian server for always-on AI coding workspaces.
Developers who want several supported agents to operate on the same durable project files.
Operators comfortable managing wildcard DNS, HTTPS, LXC containers, host updates, backups, and provider credentials.
Remote workers who need to inspect or take over an agent's browser, terminal, IDE, and live application from one web interface.

Who it’s NOT for

Anyone without a fresh server, root or sudo access, wildcard DNS, an SSH key, and open ports 80 and 443: the quick start requires all of them.
Administrators who still depend on SSH password login: the installer disables it and tells users to verify key access first.
Teams requiring virtual-machine isolation between untrusted agents: project containers are unprivileged, but the README states that they share the host kernel.
Projects that place secrets beyond an agent's reach: the threat summary says agents in a project can read secrets given to that project, and the host administrator can access project data.
Operators expecting durable storage to be a backup: the README explicitly says it survives routine container replacement but is not a backup.
Organizations unwilling to meet AGPLv3 source-sharing duties for a modified network service.

Setup reality

Our sandbox targeted the Go backend in backend/. It installed 119 packages in 88 seconds, built in 9 seconds, then failed tests after 43 seconds: 54 passed and 2 failed out of 56. The log tail listed passing and no-test packages before a final FAIL, without naming the two failures.

A real install needs a fresh Ubuntu or Debian server, root or sudo, working key-based SSH, a hostname with wildcard records, and ports 80 and 443. Agent providers need their own account or API credentials.

The installer changes SSH policy by disabling password login, builds the workspace image, starts services, and configures HTTPS. Projects use unprivileged LXC containers that share the host kernel. Backups, maintenance windows, and secret scoping remain operator work.

Each project gets a persistent Linux workspace for its agents

Remote treats an AI coding project as a server-side computer. Each project receives durable files, processes, ports, settings, and agent homes inside an unprivileged LXC container. Codex, Claude Code, Kimi, and Antigravity can work against the same state. The browser brings chat, an IDE, a terminal, file management, Git history, live previews, and a headed browser into one interface.

That design solves a real remote-work problem. An agent can keep running after a laptop closes, while a developer reconnects later to inspect changes or take over the browser for a sign-in. Scheduled prompts can run once or recur. Listening application ports receive project URLs and HTTPS. The host retains identity, routing, membership, resource, secret, and container-lifecycle controls outside the project workspace.

A fresh server, wildcard DNS, and SSH keys are mandatory

The quick start is an infrastructure installation, not an npm command. It requires a fresh Ubuntu or Debian server, root or sudo access, a hostname pointing to that server, working key-based SSH, and ports 80 and 443 open. Per-project IDE and preview addresses need wildcard DNS. The documentation offers owned-domain, DuckDNS, and deSEC examples.

The installer is piped from the project website into sudo bash. It downloads Remote, installs dependencies, builds the workspace image, starts services, and configures Let's Encrypt certificates. More importantly, it disables SSH password login. The README warns users to prove key access before running it. Keep a second privileged session open and confirm the provider console or another recovery route before making that change.

What happened when we ran it

Our Go 1.24 Debian sandbox targeted the backend under backend/ at commit 8b1b65b. Dependency installation succeeded in 88 seconds with 119 packages. The backend build completed in 9 seconds. The test command then ran for 43 seconds and exited 1, with 54 passed and 2 failed out of 56.

The supplied final log lines showed several packages passing and several packages with no test files, followed by FAIL. They did not include the names, assertions, or stack traces for the two failed tests. We can therefore say the measured suite failed, but cannot assign a cause to LXC, timing, permissions, or any other subsystem.

The checkout contained 716 files, about 63,700 source lines, and used 14.4 MB. Our scan found 2 CI workflow files, no Dockerfile, and no top-level tests directory. Those figures describe the repository and backend checks, not a complete installation on a root-managed host with DNS, certificates, containers, agents, IDE sessions, and preview routing.

Unprivileged LXC reduces reach but still shares the host kernel

A project container is the capability boundary for agent work. Agents can install tools, run servers, use Git, and browse inside it. Separate containers reduce accidental cross-project access, and host-side controls remain outside. This is stronger than launching every agent directly in one home directory.

The threat summary is candid about what it does not provide. LXC containers share the host kernel, so they are not virtual machines or an air gap. The host administrator can read project data. Secrets assigned to a project are readable by agents inside that project. Untrusted repositories and model-generated commands should still be treated as hostile input, with the host patched and project credentials limited to the smallest useful scope.

The interface includes a root terminal inside the project computer, which is useful for dependency work but increases what an agent or human can change within that container. Resource envelopes, lifecycle controls, and recovery remain host concerns. Teams with strict tenant separation should compare VM-backed or externally sandboxed alternatives rather than assuming unprivileged means virtual-machine isolation.

Persistent storage survives recycling and still needs backup

Project files and provider homes survive routine container replacement. Major or minor updates converge host infrastructure, rebuild the workspace image, and recycle idle containers. Patch releases rebuild and restart only the frontend and backend. A full update can be forced from /opt/remote.futrx/infra/update.sh, with a skip-workspaces option for active agents.

Persistence helps long agent sessions, but the README explicitly says it is not backup. A damaged volume, compromised host, mistaken deletion, or failed infrastructure change can still remove work. Back up project storage outside the server, test restoration, and use ordinary remote Git pushes for source. Coordinate maintenance when agents are running because continuity is a convenience, not a substitute for recoverable state.

Version 0.6.0 is active and still infrastructure-heavy

GitHub showed 438 stars, 25 combined issues and pull requests, and a last push on August 26, 2026. Release 0.6.0 arrived on August 25 with guided project creation, safer deletion confirmation, terminal-session preservation, mobile safe-area fixes, and offline UI behavior. The one-day gap between release and push shows current work rather than a dormant tag.

Open work includes host-aware resource defaults, swap sizing, installable databases, audit logs, cost reporting, skills, notifications, and stack templates. Those pull requests show where the product is expanding, but an open proposal is not a shipped feature. Evaluate 0.6.0 for what its release and README already document, then pin updates and read the infrastructure path before applying a minor version.

Remote is a convincing idea for a technical self-hoster who already wants a dedicated agent server. The browser takeover, durable workspaces, and per-project containers address concrete pain. Our 9-second backend build is encouraging, while 2 failed tests and a root-level installer argue for a staged host first. Use it with SSH recovery, external backups, scoped provider secrets, and a clear acceptance of shared-kernel isolation.

Alternatives

ProjectWhat it isPick it when
Coder gh↗A self-hosted platform for centrally managed remote development environments.pick this instead when enterprise workspace governance and general developer environments matter more than built-in AI-agent chat.
Daytona gh↗Infrastructure for creating and managing isolated development and agent sandboxes through APIs.pick this instead when programmatic sandbox creation is the product and you plan to build your own user experience.
GitpodA development-environment platform centered on reproducible remote workspaces.pick this instead when standardized cloud development workspaces are more important than one container per AI project.

What people are saying

  1. [github-trending] futrx-com/remote.futrx

Sources

  1. Remote by FutrX README
  2. Remote 0.6.0 release
  3. Remote threat model
  4. Remote known limitations

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