Sanbox vs BoundFlow

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

Sanbox

🔴Developer

agent-infrastructure

Sanbox by Sanlabs runs AI agents in isolated, resumable MicroVM sandboxes with persistent filesystems, live run events, network ACLs, and self-hosting options.

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Starting Price

Custom

BoundFlow

🔴Developer

agent-infrastructure

An open-source control plane for unattended LLM agents and workflows, enforcing cost caps, human approval gates, model-switching policies, and self-healing rollbacks around agents you build.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureSanboxBoundFlow
Categoryagent-infrastructureagent-infrastructure
Pricing Plans6 tiers6 tiers
Starting Price
Key Features

      Sanbox - Pros & Cons

      Pros

      • Kernel-level MicroVM isolation is a real boundary, not shared-kernel containerization
      • Snapshots make agent runs pausable and resumable from the exact state — inspectable mid-run
      • EU data residency, on-prem, and VPC deployment options cover compliance-sensitive teams
      • Live structured event stream removes the need to poll for run status
      • Reusable run templates pin the approved image, model, limits, and egress policy in one place

      Cons

      • Pricing is not published — access requires a signup and likely sales conversation
      • No MCP support currently — integration is CLI, template, and run-based only
      • Newer entrant; smaller ecosystem than E2B, Modal, or Daytona in adapters and community examples
      • Documentation on runner adapter contracts is thin outside the OpenCode reference
      • CLI-first workflow may feel heavier than one-line SDK calls for quick prototyping

      BoundFlow - Pros & Cons

      Pros

      • Guardrails as declarative policy — cost caps and model switches without touching agent code
      • Bring-your-own-key means the vendor never sees your provider credentials or token spend
      • Full self-host in one Go binary + Postgres; Apache-2.0 backend
      • OpenTelemetry-native, so runs show up in Langfuse/Phoenix/Jaeger without extra wiring
      • Approval gates + audit log make it viable for regulated/back-office use cases

      Cons

      • Pre-1.0 public preview — expect breaking changes
      • Python SDK only (though LangChain adapter widens provider reach)
      • No MCP integration documented
      • Managed BoundFlow Cloud pricing not published
      • Requires Postgres and gRPC infrastructure — heavier setup than a hosted framework

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