Daytona Alternatives After It Went Closed Source
The best Daytona alternative depends on which part of Daytona you relied on. If you self-hosted it because it was open source, move to E2B (and its self-host package) or Microsandbox. If you used its GPU sandboxes, look at Modal or Northflank. If you need sandboxes that live for weeks, look at Northflank or Blaxel. If you already deploy on Vercel or Cloudflare, use the sandbox your platform ships. If you build coding agents and need evals, look at Runloop.
Most people searching for this right now have one reason in common. On June 11, 2026, Daytona announced it was going closed source. The production codebase moved to a private repo, and the public one stopped getting updates.
Below: what that change actually breaks (for many teams, nothing), then which tool replaces each Daytona feature.
What Changed at Daytona in June 2026
Daytona's stated reason is security: AI tools can now scan a public codebase for exploitable flaws faster than any human team, and a sandbox company can't afford to publish the blueprint of its isolation layer.
In practice:
- The old repo is archived. The daytonaio/daytona README says core development moved to a private codebase in June 2026, and the repo gets "no further updates, fixes, or releases." It stays public and forkable under the AGPL-3.0 license, at its last tag, v0.190.0.
- SDKs and docs moved. Daytona says its SDKs, documentation and guides now live under the github.com/daytona organization.
- The managed service didn't change. If you call Daytona's cloud API, your sandboxes still work. Pricing is still pay as you go, billed per second, with SSO, audit logs and BYOC on enterprise plans.
So the decision splits three ways.
| Your situation | Does the change affect you? | What to do |
|---|---|---|
| You use Daytona Cloud and like it | Barely | Stay. Watch how Daytona publishes its security model now that the code is private |
| You self-host the open-source version | Yes | Plan a move. A fork of the archived repo gets no upstream fixes |
| You picked Daytona because it was open source | Yes | Pick an alternative with an open runtime |
One caution on forking: Daytona's own argument is that sandbox code is a target. An unmaintained fork leaves finding those flaws to you.
Quick Comparison
| Tool | Replaces this Daytona feature | Isolation | Open source runtime | Your own infra |
|---|---|---|---|---|
| E2B | Self-host path, pause and resume, computer use | Firecracker microVMs | Yes, Apache-2.0 | Self-host or Enterprise BYOC |
| Modal Sandboxes | GPU sandboxes | gVisor, or a VM runtime | No | No |
| Northflank | Long-lived sandboxes, GPUs, BYOC | Cloud Hypervisor microVMs, gVisor for GPUs | No | Yes, BYOC |
| Vercel Sandbox | Persistent dev sandboxes on one platform | Firecracker microVMs | SDK only | No |
| Cloudflare Sandboxes | Sandboxes next to your Worker | MicroVM per instance | SDK only | No |
| Blaxel | Auto-stop and archive, without paying for idle | MicroVMs | No | Bring-your-own-metal |
| Runloop | Coding-agent devboxes | MicroVMs | No | Deploy to VPC |
| Microsandbox | Local, self-hosted sandboxes | MicroVMs | Yes, Apache-2.0 | It runs on your machines |
| DevPod | Daytona's original dev-environment use | Containers on any backend | Yes, MPL-2.0 | Yes |
The Best Daytona Alternatives
E2B: the closest swap for most teams
Best for: teams that want an open runtime they can self-host later, without giving up a managed cloud today.
The E2B runtime is the same backend that runs E2B Cloud, published under Apache-2.0. Every sandbox gets its own Firecracker microVM with a per-sandbox egress firewall. A new sandbox is restored from a pre-booted snapshot, not booted from scratch, and forks take the same path.
On persistence, E2B's docs say pausing a sandbox saves both its filesystem and its memory, and paused sandboxes are kept until you kill them. That covers most of what Daytona's archive and snapshot features did. For computer-use agents, E2B Desktop sandboxes give the agent a virtual Linux desktop.
The pricing page bills per second of running sandbox, on top of a plan that sets session length: up to 1 hour on Hobby, up to 24 hours on Pro, and multi-day sessions plus BYOC on Enterprise.
Where it's weaker than Daytona: no GPU sandboxes, and the desktops are Linux only. Daytona's docs list Windows and macOS sandboxes too. If your agent tests Windows apps, E2B won't cover it.
Weighing E2B itself? See our E2B alternatives guide.
Modal Sandboxes: if you used Daytona for GPUs
Best for: agents that train, fine-tune or run models inside the sandbox.
Daytona's GPU class is a container with an exclusive GPU. Modal Sandboxes are the most natural move for that workload, because Modal was a GPU platform first. Sandboxes run on gVisor by default, or on a VM runtime with its own Linux kernel when you need things like Docker inside the sandbox.
The default lifetime is 5 minutes, and you can raise the timeout to 24 hours. For anything longer, Modal recommends taking a filesystem snapshot and restoring it into a new sandbox. Billing is per second, and Modal's pricing page says sandboxes are billed at non-preemptible rates.
Where it's weaker than Daytona: no self-host or BYOC, and no Windows or macOS sandboxes. Long-lived state means managing snapshots yourself. If Modal's broader platform is what you're comparing, see our Modal alternatives guide.
Northflank: if your sandboxes live for weeks
Best for: multi-tenant agent products that keep a sandbox per customer, and teams that need it all inside their own cloud account.
Daytona sold itself on long-lived state. Northflank's sandboxes match that directly: the product page says sandboxes have no time limits and run until you delete them, billed per second. You can pause idle ones to stop compute billing, and attach volumes to keep state.
Isolation is a microVM on Cloud Hypervisor with its own guest kernel. GPU sandboxes, from L4 to B200, switch to gVisor. The same runtimes run on BYOC clusters in your own cloud account.
Where it's weaker than Daytona: Northflank is a full deployment platform with services, jobs and databases. That's more surface to learn than a sandbox-only SDK.
Vercel Sandbox: if your app already runs on Vercel
Best for: Next.js and AI SDK projects that want a sandbox on the bill they already pay.
Vercel Sandbox runs each sandbox in a Firecracker microVM with its own filesystem and network. It supports Vercel's managed images or your own OCI images, plus a firewall, snapshots and mountable drives.
The billing model is the interesting part. The pricing page charges for Active CPU, and time spent waiting on network requests, databases or model calls doesn't count. Agents wait a lot, so this matters. Maximum session length is 45 minutes on Hobby and 24 hours on Pro and Enterprise.
Where it's weaker than Daytona: no BYOC, no self-host, no GPU class, and a 24-hour session cap. It's a platform feature, not a standalone sandbox company.
Cloudflare Sandboxes: if your agent runs on Workers
Best for: teams already building on Cloudflare Workers and Durable Objects.
Cloudflare Sandboxes let your Worker start a full Linux instance and send it work. Each instance is a microVM with its own kernel and network, and traffic from the internet reaches it only through your Worker. Your Worker also decides which APIs and data the code gets, and whether it can reach the public internet at all.
There are guides for running Claude Code and Codex inside a sandbox. Sandboxes need the Workers Paid plan, and the container compute underneath bills for every 10ms an instance is actively running.
Where it's weaker than Daytona: it only makes sense if Workers is already your backend. The lifecycle model, where your Worker owns the instance, takes some learning.
Blaxel: if idle time is your biggest bill
Best for: agents that sit between steps for minutes at a time.
Daytona has auto-stop, auto-archive and auto-delete controls to keep idle sandboxes cheap. Blaxel builds the whole product around that idea. It runs one microVM per agent, app or job, scales sandboxes to zero as soon as they go idle, and resumes the full memory state in about 25 milliseconds, by Blaxel's own figure. Suspended time doesn't count toward active CPU.
Pricing is usage-based, pay as you go. For data residency, Blaxel's bring-your-own-metal option runs the sandbox runtime on bare-metal servers in your own VPC, connected to Blaxel's control plane.
Where it's weaker than Daytona: it isn't open source, and its long-running agent runtime was still marked "Soon" on the pricing page when we checked.
Runloop: if you're building coding agents
Best for: teams shipping software-engineering agents who also need to measure them.
Runloop calls its sandboxes Devboxes. They're isolated microVMs with snapshot and branch support for disk state, plus SSH, CLI and IDE access. Around them sit tools to evaluate and compare agents over time. Enterprise customers can deploy Runloop into their own cloud account.
Where it's weaker than Daytona: it's built around coding agents. If you need a quick code interpreter for a chatbot, Runloop is more platform than you need.
Self-hosted options: Microsandbox, DevPod and DIY
Best for: teams whose reason for choosing Daytona was "we run it ourselves."
- E2B self-hosted. The open-source E2B stack ships E2B Embed, which runs every E2B feature on a single machine with Docker Compose, Terraform on GCP, AWS or Azure, or Kubernetes. Same SDK and API as E2B Cloud. This is the most direct replacement for a self-hosted Daytona.
- Microsandbox. An Apache-2.0 microVM runtime and library you run locally or on your own servers. It's lighter than a full platform, so scheduling and scaling are on you.
- DevPod. Before Daytona pivoted to AI sandboxes, it was a tool for developer environments. If that's what you used it for, DevPod is the open-source match: MPL-2.0, client-only, and built on devcontainer.json, with workspaces on your laptop, Kubernetes or a cloud VM. Its last tagged release on GitHub is from March 2025, so check activity before you commit.
- Build it yourself. Firecracker (the microVM tech under E2B and Vercel) and gVisor (under Modal and Northflank's GPU sandboxes) are both Apache-2.0. You get full control and a long list of jobs: image builds, snapshots, networking, scheduling and patching.
How to Choose a Daytona Alternative
Start from the Daytona feature you'd miss most.
| What you used Daytona for | Look at first | Watch out for |
|---|---|---|
| Self-hosting an open-source sandbox | E2B Embed, Microsandbox | You own the servers and the patching |
| GPU sandboxes | Modal, Northflank | No self-host on Modal |
| Sandboxes that live for days or weeks | Northflank, E2B pause and resume, Blaxel | Session caps on Vercel, Modal and E2B's lower plans |
| Windows or macOS sandboxes | Stay on Daytona | None of the alternatives here documents them on the pages we checked |
| Computer-use agents on Linux | E2B Desktop | Linux desktops only |
| Sandbox in your own VPC | Northflank, Runloop, Blaxel, E2B | Most are enterprise contracts |
| Human dev environments | DevPod | Slow release cadence |
Also check the isolation boundary. Daytona's default sandbox is a container sharing the host kernel. Most alternatives here default to a microVM with its own kernel, a stronger boundary for AI-generated code, with Modal's gVisor in between.
Before migrating, run one real agent session end to end: cold start with your image, a long task, and a pause and resume with real files on disk.
Where Daytona Is Still the Right Call
Stay on Daytona if:
- You need Windows or macOS sandboxes. Daytona's docs list Linux, Windows, macOS and GPU sandboxes in one API. That range is rare.
- You're happy on the managed cloud. The closed-source move doesn't touch your API calls.
- You want one vendor for containers, VMs and GPUs. Daytona's sandbox classes let you pick the boundary per workload, and VM sandboxes add pause, resume, fork and hot snapshots.
If your agent also needs a browser, a sandbox isn't always the right home for it. Our Browserbase alternatives guide covers hosted browsers built for agents.
Where Taku Fits
Taku doesn't sell sandboxes, and it isn't an alternative to anything on this list. But if you're building agents because you think AI should reach further than one app, this is the bet Taku is making. We're an operating system company, building for the era where AI is simply how computers work. Most AI lives inside an app. Taku OS builds it into the operating system, so it can work across your apps, camera, sensors and the devices around you.
FAQ
Why are people looking for Daytona alternatives?
Mostly because Daytona went closed source on June 11, 2026. Its public repo is archived under AGPL-3.0 and gets no further updates. Teams that self-hosted it, or picked it for its open code, now need a different option. Managed Daytona users aren't affected by the change itself.
What is the best open source Daytona alternative?
E2B. Its runtime is Apache-2.0, and E2B Embed runs the full stack on your own machine with the same SDK as E2B Cloud. For a lighter local runtime, use Microsandbox. For Daytona's original dev-environment use, DevPod is the open-source match.
Daytona vs E2B: which should I pick?
Pick E2B for microVM isolation on every sandbox, an open runtime, and a clean self-host path. Pick Daytona if you need GPU, Windows or macOS sandboxes, or several sandbox classes in one API. Daytona's default sandbox is a container, so choose its VM class if you want a separate kernel.
Can I still self-host Daytona?
You can fork the archived repo at v0.190.0 under AGPL-3.0. It won't receive fixes or releases, so you'd be maintaining a security boundary on your own. Daytona's enterprise plans offer BYOC if you want its current code in your own cloud.
Who are Daytona's main competitors?
E2B, Modal, Northflank, Vercel Sandbox, Cloudflare Sandboxes, Blaxel and Runloop. E2B is the closest overall, Modal and Northflank cover GPUs, and Northflank, Runloop and Blaxel run inside your own infrastructure.