Comparison
Agent Cloud vs Daytona: self-serve VMs vs secure code sandboxes.
Daytona raised $24M to build "agent-native compute infrastructure" focused on running AI-generated code securely with sub-90ms boot times. Agent Cloud focuses on a different layer: full Linux VMs that AI agents can discover, sign up for, and provision entirely on their own.
Side-by-side comparison
| Capability | Daytona | Agent Cloud |
|---|---|---|
| Primary focus | Secure execution of AI-generated code | Self-provisioned compute for autonomous agents |
| Runtime | Lightweight sandboxes (sub-90ms cold start) | Full Linux VMs (any workload, SSH access) |
| Signup model | Human account setup | Agent calls signup API directly — no human needed |
| Boot time | Sub-90ms (optimized for speed) | Minutes (full VM provisioning) |
| Execution duration | Seconds to minutes (ephemeral) | Minutes to days (persistent, upgradeable) |
| System access | Sandboxed code execution environment | Full root, SSH, install packages, run services |
| Security model | Sandbox isolation — prevent untrusted code escape | VM isolation + quota limits + abuse monitoring |
| Positioning | "Give every agent a computer" | "Infrastructure AI agents can provision themselves" |
| Pricing | Usage-based sandbox minutes | Free sandbox tier + simple paid plans |
| Funding | $24M Series A (Feb 2026) | Bootstrapped |
When Daytona is the better choice
- You need sub-100ms boot times. Daytona is optimized for the fastest possible sandbox startup. If your agent runs many short code snippets in rapid succession, boot time matters.
- Security against untrusted code is the top priority. Daytona's entire product is built around safely executing AI-generated code. If your primary concern is preventing sandbox escape, Daytona is purpose-built for this.
- You're building a coding agent or deep research agent. The "run code, get result, iterate" loop is Daytona's sweet spot.
When Agent Cloud is the better choice
- The agent needs to create its own account. Daytona requires human account setup. Agent Cloud lets the agent handle signup, key issuance, and VM provisioning autonomously — the human only appears at billing time.
- Workloads need more than code execution. Running servers, hosting services, multi-process workflows, data processing pipelines, development environments — these need a full VM, not a code sandbox.
- You need persistent infrastructure. Agent Cloud VMs can run for days on the paid tier. Daytona sandboxes are designed to be ephemeral.
- Your agent uses HTTP, not an SDK. Agent Cloud is a REST API. Any agent with HTTP access can use it directly.
- You want to start without a credit card. Agent Cloud's free sandbox requires no payment method. One API call to start.
Different layers of the stack
Daytona and Agent Cloud aren't direct substitutes — they operate at different layers. Daytona provides fast, isolated execution environments for running code. Agent Cloud provides self-provisioned infrastructure for broader agent workloads.
An agent could use Daytona for quick code execution during reasoning and Agent Cloud for provisioning persistent compute when the task demands it. The choice depends on whether your agent needs a sandbox or a server.
Try the Agent Cloud quickstart — your agent goes from zero to running VM in four API calls.