CodeSandbox vs AgentHost

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

CodeSandbox

🟡Low Code

App Deployment

CodeSandbox is a cloud development and code-execution platform — now part of Together AI — built around the Sandbox SDK and Firecracker microVMs with 2-second startup for AI agents and dev environments.

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Starting Price

Free

AgentHost

🔴Developer

App Deployment

Serverless hosting platform specifically designed for deploying and scaling AI agents.

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Starting Price

$49/month

Feature Comparison

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FeatureCodeSandboxAgentHost
CategoryApp DeploymentApp Deployment
Pricing Plans8 tiers6 tiers
Starting PriceFree$49/month
Key Features
  • Firecracker microVM infrastructure with 2-5 second cold start
  • Environment branching (fork entire VM states)
  • Real-time collaborative multiplayer editing
  • Instant agent deployment
  • Isolated sandbox environments
  • Persistent memory management

CodeSandbox - Pros & Cons

Pros

  • 2-second VM startup on Firecracker microVMs is best-in-class for many AI agent workloads
  • Sandpack and Storybook integrations have unmatched distribution across JS/React docs and learning sites
  • Together AI ownership ties the SDK to a clear model/inference + agent infrastructure path

Cons

  • Pricing page now blocks crawlers (HTTP 403) — pricing transparency dropped after the Together AI acquisition
  • No public MCP server yet — agent integrations go through the CodeSandbox SDK directly
  • Modal Labs and E2B can be cheaper per second for pure Python eval workloads without browser IDE needs

AgentHost - Pros & Cons

Pros

  • Purpose-built persistent memory layer that the company claims delivers up to 40% faster context retrieval than standard database-backed solutions
  • Kernel-level sandboxing with granular network egress controls lets agents safely execute untrusted code
  • NVIDIA H100 and A100 GPU clusters available for local inference on open-weight models (128 new H100 nodes added Feb 2026)
  • Pro plan at $99/month bundles 5 agent instances, 16GB RAM, and 100GB SSD — cheaper than equivalent AWS setup (~$93/month before memory/sandbox config)
  • Full SSH access and framework-agnostic deployment — not locked into a proprietary flow
  • Pre-built templates for AutoGPT, LangChain, CrewAI, and AutoGen speed up production deployment

Cons

  • No free tier — minimum commitment is $49/month, unlike Modal which starts at $0 pay-per-use
  • Starter plan's 8GB RAM and single instance is tight for agents running local models or large context windows
  • Relatively new platform means a thinner track record and smaller community than AWS, GCP, or Azure
  • Limited geographic regions compared to hyperscalers may affect global latency for some deployments
  • Specialized infrastructure creates vendor risk — migrating off agent-specific features requires reengineering

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🔒 Security & Compliance Comparison

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Security FeatureCodeSandboxAgentHost
SOC2❌ No
GDPR✅ Yes
HIPAA❌ No
SSO✅ Yes
Self-Hosted❌ No
On-Prem❌ No
RBAC✅ Yes
Audit Log❌ No
Open Source❌ No
API Key Auth✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data ResidencyEU (primary), with enterprise options for region selection
Data RetentionSandbox data persists until user deletion; enterprise plans offer configurable retention policies
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