Comparison

Containarium vs Daytona

Both run AI-generated code in isolated Linux containers, and both speak MCP. The real differences are licensing and posture: Daytona is AGPL-3.0 with a metered hosted cloud as its primary product; Containarium is Apache 2.0, built to self-host on a VM you own, with a persistent box per agent. Here's an honest side-by-side.

Choose Containarium when…

  • You want a permissive license — Apache 2.0, no AGPL network-copyleft to clear with legal.
  • Self-host on one VM is the goal, with flat infra cost instead of per-hour metering.
  • You want a persistent box an agent lives in, plus eBPF per-tenant network isolation.
  • You want GPU passthrough on your own hardware at near-zero marginal cost.

Choose Daytona when…

  • You want a managed cloud with very fast sandbox creation and don't mind metering.
  • Fork / branch / snapshot-mid-execution for parallel agent runs is core to your loop.
  • You want SDKs in many languages (Python, TypeScript, Ruby, Go, Java).
  • AGPL is fine for your use, and a hosted runtime is your preferred path.

Same job — secure execution of AI-generated code. Different defaults: Apache 2.0, self-hosted, persistent vs AGPL, hosted-cloud-first, snapshot/fork.

Side-by-side

Dimension Containarium Daytona
License Apache 2.0 — permissive, no network-copyleft AGPL-3.0 — network-copyleft
Self-hosting First-class — one VM you own is the default path Available (Docker Compose + hybrid BYOC); hosted cloud is primary
Isolation LXC container + optional eBPF per-tenant network policy (deny-by-default) Namespace-isolated OCI containers
Per-agent model Persistent long-lived box; state survives until you delete it Stateful sandboxes with snapshots, volumes, and fork / branch
Primary interface In-box MCP server + CLI SDKs (Python, TS, Ruby, Go, Java) + an MCP orchestration server
Networking Built-in sentinel: routable hostname, TLS, SSH routing Exposed sandbox ports / preview links
GPU Passthrough on your own GPU host — flat cost Managed GPUs on the cloud, billed per hour
Cost shape Self-host: flat infra cost · Cloud: hybrid per-box pricing Per-resource-hour metered (vCPU / RAM / storage / GPU)

Comparison reflects each project's stated design as of 2026. Daytona repositioned to an AI-agent runtime in 2025; check its latest docs for current specifics.

License: Apache 2.0 vs AGPL-3.0

This is the cleanest difference. Daytona's open source is AGPL-3.0, a network-copyleft license: its obligations can reach software that merely communicates with it over a network, which is why many enterprises and SaaS builders route AGPL through legal review or avoid it outright. Containarium is Apache 2.0 — permissive, no network-copyleft — so it's straightforward to embed inside a commercial product without that overhead.

Self-host as the default, not a metered cloud

Daytona can be self-hosted — a local Docker Compose stack, plus a hybrid mode where Daytona orchestrates and execution runs on your machines. But the center of gravity is the per-resource-hour hosted cloud. Containarium is built the other way around: a single self-hosted VM is the first-class path, agent code and data stay in your network, and the cost is your flat infra bill rather than a meter that compounds with usage.

Network isolation with eBPF

Both products isolate workloads in Linux containers. Containarium adds an optional eBPF per-tenant network policy enforced in the kernel — deny-by-default egress with a CIDR/domain allowlist — so a misbehaving agent can't quietly reach the rest of your network or the open internet. If blast-radius control on the network is part of your threat model, that's a concrete defense-in-depth layer.

Where Daytona genuinely shines

To be fair: Daytona's fork / branch and snapshot-mid-execution model is a real strength for fan-out agent workloads — clone a running sandbox into many parallel branches, explore each, keep the winner. If that pattern is core to your product, Daytona is built for it. Containarium's strength is the opposite shape: a durable box an agent owns over time, on infrastructure you control.

FAQ

What is the difference between Containarium and Daytona?

Both run AI-generated code in isolated containers and both speak MCP. Daytona is AGPL-3.0 with a metered hosted cloud as its primary product, leaning on snapshots and fork/branch for transient runs. Containarium is Apache 2.0, self-host-first, and gives each agent a persistent long-lived box with optional eBPF per-tenant network isolation.

What license is Daytona, and why does it matter?

Daytona is AGPL-3.0 (network-copyleft). Many enterprises and SaaS builders avoid AGPL because its obligations can extend to software that communicates with it over a network. Containarium is Apache 2.0 — permissive, simpler to adopt commercially.

Can I self-host Daytona?

Yes — a local Docker Compose stack, plus a hybrid mode where Daytona orchestrates and execution runs on your machines. The metered hosted cloud is the primary commercial product, though. Containarium treats a single self-hosted VM as the first-class path.

Does Daytona support MCP?

Yes — Daytona ships a first-class MCP server for creating and managing sandboxes, running code, and file/Git ops (orchestration-layer MCP). Containarium runs an MCP server inside each box, giving the agent shell and file ops on the box directly. Both use MCP, at different layers.

Which is better for permissive licensing and self-hosting?

Containarium — Apache 2.0 plus a first-class single-VM self-host path makes it straightforward to embed commercially and to keep agent code and data inside your own network.

Apache 2.0, self-hosted, yours.

Run agents on your own infra with a permissive license — or start free on the hosted cloud.

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