Cloudflare Agents vs E2B

Detailed side-by-side comparison to help you choose the right tool

Cloudflare Agents

πŸ”΄Developer

Cloud & Hosting

Cloudflare’s developer framework for building, deploying, and running agents close to web infrastructure on Workers and related services.

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Starting Price

No separate static pricing page found; uses applicable Cloudflare platform services

E2B

πŸ”΄Developer

Cloud & Hosting

Open-source secure code-execution sandbox for AI agents β€” spin up a fresh Linux VM in under 200ms, hand your agent a Python/Node/Bash environment, and get back files, plots, and results without ever exposing your infrastructure.

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Starting Price

Free

Feature Comparison

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FeatureCloudflare AgentsE2B
CategoryCloud & HostingCloud & Hosting
Pricing Plans3 listed plans3 listed plans
Starting PriceNo separate static pricing page found; uses applicable Cloudflare platform servicesFree
Key Features
  • β€’ Framework/docs for building and deploying agents on Cloudflare Workers infrastructure
  • β€’ Long-running agents, memory patterns, tools, workflows, routing, and agent class internals
  • β€’ Dedicated MCP docs for remote MCP servers, clients, OAuth, testing, and securing MCP servers
  • β€’ Hardware-level security isolation
  • β€’ Sub-150ms sandbox startup
  • β€’ Multi-language runtime support

Cloudflare Agents - Pros & Cons

Pros

  • βœ“Strong fit when your agent needs to live close to web infrastructure and APIs
  • βœ“MCP documentation is explicit and production-minded, including remote servers and auth concerns
  • βœ“Cloudflare platform primitives can reduce infrastructure burden for globally available agents
  • βœ“Good option for developers already using Workers, Durable Objects, or Cloudflare AI services

Cons

  • βœ—Pricing is indirect; total cost depends on multiple Cloudflare products and usage patterns
  • βœ—Requires developer skill and familiarity with Cloudflare’s platform model
  • βœ—Not a no-code agent builder; business teams will need engineering support

E2B - Pros & Cons

Pros

  • βœ“Strong isolation via Firecracker β€” safe enough for fully LLM-generated code
  • βœ“150ms cold-start is fast enough for interactive chat-style agents
  • βœ“Drop-in ChatGPT-style Code Interpreter SDK with persistent Jupyter kernels
  • βœ“Desktop sandbox makes browser-use and computer-use agents practical
  • βœ“Production-proven (Perplexity, Hugging Face) and well-instrumented

Cons

  • βœ—Per-hour pricing can balloon for long-running autonomous agents
  • βœ—Pro tier only includes 20 hours/mo β€” most teams burn through it
  • βœ—Smaller per-sandbox resource limits than running on your own GPU box
  • βœ—No GPU access on standard sandboxes (use Modal or RunPod for that)

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πŸ”’ Security & Compliance Comparison

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Security FeatureCloudflare AgentsE2B
SOC2β€”βœ… Yes
GDPRβ€”βœ… Yes
HIPAAβ€”β€”
SSOβ€”βœ… Yes
Self-Hostedβ€”βŒ No
On-Premβ€”βŒ No
RBACβ€”βœ… Yes
Audit Logβ€”βœ… Yes
Open Sourceβ€”βœ… Yes
API Key Authβ€”βœ… Yes
Encryption at Restβ€”βœ… Yes
Encryption in Transitβ€”βœ… Yes
Data Residencyβ€”US, EU
Data Retentionβ€”Configurable retention policies
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