Modal alternatives for persistent agent jobs
Compare Matrix OS, E2B, Daytona, and OpenHands for stateful agent work that does not fit a short-lived function runtime.
Modal is built around functions, containers, jobs, schedules, and scalable compute. If an agent workload fits that programming model, Modal may handle it well.
Running Claude Code on a long refactor, keeping a Codex session available across a migration, or returning to the same development services over several days is a different workload. The team should decide whether to adapt that work to Modal's application model or keep it inside a conventional persistent computer.
If you are comparing Modal alternatives for stateful agent work, these four options draw the infrastructure boundary in different places.
Verify current capabilities in the Modal documentation, E2B documentation, Daytona documentation, and OpenHands documentation.
What Makes an Agent Job "Always-On"
It helps to be precise about the workload category before comparing platforms.
An always-on agent job has a few defining properties: it runs for minutes or hours, not milliseconds; it reads and writes to a persistent filesystem; it may pause for human input and resume; and it should not be interrupted by a laptop sleeping, a network drop, or a session timeout.
These requirements do not map directly to a simple function invocation. Modal provides persistence and application primitives, but a terminal-agent workflow may require different composition than it would on a retained development computer.
The four alternatives below each handle this differently.
1. Matrix OS
Matrix OS provisions a dedicated cloud computer per developer — a Hetzner-backed VPS with isolated compute, files, a database, and a runtime that belongs entirely to you. Agents run in persistent sessions on that machine, 24/7, regardless of whether your laptop is open.
The key architectural difference from Modal is the retained computer. When you close your laptop, processes on that remote computer can keep running. When you reconnect, its files and services remain available, subject to normal process and host recovery limits.
Matrix OS supports Claude Code, Codex, Cursor, OpenCode, Pi, and Gemini CLI running simultaneously in isolated sessions on the same machine, with shared file state. That combination is what makes long-horizon agent work practical: one durable environment, any agent, no rebuilding context when you switch.
The Symphony orchestration layer handles parallel task queues, agent status tracking, branch and diff review, and human-in-the-loop handoff. The Hermes resident agent manages scheduled workflows, tool connections, and approval queues. Integrations include GitHub, Linear, Slack, Discord, Sentry, and Datadog.
Pricing starts at $14/month for the Starter plan (2 vCPU, 4 GB RAM, 80 GB disk). The Builder plan is $19/month (4 vCPU, 8 GB RAM, 160 GB disk). The Max plan is $49/month (12 vCPU, 24 GB RAM, 480 GB disk).
Matrix OS is the right fit if you want a persistent, agent-agnostic environment and do not want maintaining that infrastructure to become another engineering job. If you use only one agent and that provider's own cloud capabilities already satisfy you, it may not be the strongest fit yet.
Read more about the underlying design in Cloud Computer For Agents.
2. E2B
E2B provides sandboxed cloud environments designed for running AI-generated code safely. It is well-suited for short-lived execution: running code snippets, testing agent outputs in isolation, or giving an agent a clean environment for a discrete task.
E2B centers on API-created sandboxes with configurable lifecycle controls. It is a closer fit when an application needs isolated execution on demand than when a developer wants to retain one named computer across projects. Verify current duration and pricing in E2B's documentation.
For agent jobs that complete within a session window, E2B is a reasonable choice. For jobs that run overnight, span multiple days, or require a developer to reconnect and resume, the session model is a hard architectural limit.
3. Daytona
Daytona is built around fast, disposable development environments. It uses Docker container isolation with a shared host kernel, which makes it efficient for spinning up and tearing down workspaces quickly. The pay-as-you-go pricing at $0.0504/vCPU/hour works well for burst workloads.
Daytona centers on development infrastructure and isolated workspaces. Evaluate its current persistence and lifecycle controls if an agent must accumulate state across days; do not infer them from the product category alone.
It is worth evaluating if your workflow is closer to "provision a clean environment, run a task, discard it" than "keep an agent running in the background indefinitely."
4. OpenHands
OpenHands is model-agnostic and has a substantial open-source community. It supports multiple agents and gives you control over which models you point at a task. For developers who want to run agent workflows without being locked into a single provider's tooling, it is a serious option.
OpenHands is an agent platform with hosted and self-hosted options. Evaluate those separately: self-hosting gives more control but makes your team responsible for the runtime, model access, upgrades, and isolation.
The distinction matters because selecting an agent platform and selecting the lifecycle of its execution environment are related but separate decisions.
Choosing Based on the Actual Constraint
The right question is not "which Modal alternative is best" but "what is the actual constraint in my agent workflow."
If the constraint is isolated programmatic execution, evaluate E2B. If reproducible development workspaces are central, evaluate Daytona. If you want an open-source software-development agent platform, evaluate OpenHands and compare its hosted and self-hosted operating models.
For a lifecycle-first evaluation framework, use How to choose hosting for AI coding agents and the AI-agent hosting production checklist.
If the constraint is the one that keeps coming up in practice — agents that stop when the laptop closes, state that disappears between sessions, environments that need to be rebuilt every time you switch agents — that is the problem Matrix OS is built around. The machine stays on. The sessions persist. The agents run whether or not you are at your desk.
That is a different product category from Modal, not a better version of it. Choose between them based on whether the primary abstraction should be a retained development computer, an API sandbox, an agent platform, or Modal's function-and-container model.
The Underlying Architecture
The reason these products differ so sharply is not feature gaps — it is architectural intent. Modal's design principle is statelessness. Cold starts are not a bug; they are the model. Ephemeral compute is efficient for the workloads Modal targets.
A retained agent workspace prioritizes a computer, filesystem, and services that remain available between tasks. A platform built around jobs and functions can support state through its own primitives, but the workflow and ownership model are different.
That is why the always-on agent problem keeps surfacing as a distinct search query rather than a feature request against existing tools. Developers are not asking for a faster sandbox. They are asking for a different kind of environment entirely.
FAQs
What is the main reason Modal does not work well for always-on agent jobs?
Modal is architected around functions, containers, jobs, and services. It offers persistence primitives, but a terminal-agent workspace must be composed within that model. Teams that want a conventional retained computer may prefer a different abstraction.
Can I run Claude Code, Codex, and Gemini CLI on the same persistent environment?
Matrix OS can run terminal agents such as Claude Code, Codex CLI, OpenCode, Pi, and Gemini CLI on one dedicated computer. Use separate Git worktrees and runtime resources for parallel tasks. Cursor Background Agents remain in Cursor's managed environment.
What happens to my agent session if my laptop closes?
On Modal and most sandbox platforms, a session tied to your local machine or a time-limited sandbox will stop or expire. On Matrix OS, the cloud computer keeps running regardless of whether your device is connected. You reconnect from any browser or terminal and the session is where you left it.
Is E2B a good Modal alternative for agent work?
E2B is well-suited to sandboxed code execution controlled through an API. Check its current pause, resume, duration, storage, and pricing behavior against the workload rather than relying on a plan snapshot.
What does "agent-agnostic" mean in this context?
It means the compute environment does not require you to use a specific agent or model. Platforms like Devin bring their own proprietary agent; you cannot point Claude Code or Codex at Devin's infrastructure. Agent-agnostic platforms let you choose which agent runs against your environment and switch without rebuilding state.
Is a raw VPS a viable alternative to all of these?
A well-configured VPS can handle persistent agent sessions. The honest framing is not that a VPS cannot do this — it is that configuring and maintaining the infrastructure behind agents adds operational overhead. The question is whether that overhead is worth taking on versus using a managed environment purpose-built for agent workloads.
What is the entry price for Matrix OS compared to these alternatives?
Matrix OS uses fixed monthly cloud-computer plans. E2B and Daytona use different resource and lifecycle models. Compare current prices using a representative month of compute, storage, concurrency, and operator time.
The right platform depends on the shape of your workload. For stateless burst compute, Modal remains a strong choice. For persistent agent sessions that need to run without a local machine, the options above each address a different slice of that problem. Matrix OS is the one built specifically around that use case from the ground up.
Learn more at matrix-os.com.