Agentic Index

Cloudflare vs Daytona (2026)

Cloudflare last verified ·Daytona last verified

Daytona sells the agent's computer, while Cloudflare sells a runtime for the agent itself with sandboxes as one part. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Daytona creates sandboxes in under 90 milliseconds as Linux containers, Linux VMs, Windows or GPU machines, with a Computer Use API for desktops, snapshots and forks, webhooks and OpenTelemetry tracing, for agents built on any framework. Cloudflare runs each agent as a Durable Object with its own storage and scheduling, adds Workflows that wait for human approval, memory through a Session API, retrieval, Browser Run for Chrome and turn by turn tracing, and runs agent written code in Containers or Dynamic Workers on the $5 a month Workers Paid plan. Choose Cloudflare when you are building the agent in TypeScript and want state, approvals and code execution on one platform, and Daytona when your agent runs elsewhere and needs Windows, GPU or desktop sandboxes.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Cloudflare and Daytona are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,165 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Cloudflare if

  • Agents should be TypeScript objects with their own state and schedules rather than whole machines.
  • Workflows should wait for human approval, for months if needed.
  • Retrieval should come from AI Search and Vectorize on the same platform.
  • Agent turns should be traced with session replay.
  • Agent state must stay in the EU, US or FedRAMP jurisdiction.

Choose Daytona if

  • Your agent already runs on LangGraph, the OpenAI Agents SDK or another framework and needs a sandbox.
  • Agents need Windows or GPU machines, or macOS through use.computer.
  • A Computer Use API should drive desktops with mouse, keyboard, screenshots and recording.
  • Sandboxes should run on your own runner nodes.
  • You want $200 of free compute to start.
Feature
C
Cloudflare
D
Daytona
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
C
Cloudflare
D
Daytona

Entry price

Lowest public entry point

Workers Paid at $5 a month, with container usage included and per second rates above it. Usage based · $200 free compute · vCPU $0.0504/h, memory $0.0162/GiB-h

Pricing confidence

How public the numbers are

Public, partial Public, exact

Billing

Primary billing axis

Workers, Durable Objects and model usage, plus container vCPU, memory and disk per second Per second compute and memory, plus metered storage

Variable cost

Workload / overage exposure

High variable cost High variable cost

Free tier / trial

Try before you buy

No free tier
Free tier

Buying motion

Self-serve vs sales call

Mixed Self-serve

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Daytona

  • · Security / enterprise

    Daytona released the SecretService API for organization-scoped secrets in agent sandboxes.

    Source

Cloudflare's agent stack is assembled from several Cloudflare products with their own price lines, its Session memory APIs are marked experimental and Browser Run's Live View and session recording are in beta. Daytona claims HIPAA, SOC 2 and GDPR compliance.

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