Sandlock vs Context Agent Sandboxes

Sandlock7.3Visit Context Agent Sandboxes6.9Visit

Higher score Sandlock #5 in Sandbox Software 7.3/10 Free plan Free plan✓ 3 of 3 features Visit Sandlock

vs

Context Agent Sandboxes #7 in Sandbox Software 6.9/10 Pricing on request ✓ 2 of 3 features Visit site

• Sandlock fits best

  Linux teams needing granular policy controls

• Context Agent Sandboxes fits best

  Enterprise agent workloads across operating systems

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Side by side

Feature	Sandlock 7.3/10 Visit ↗	Context Agent Sandboxes 6.9/10 Visit ↗
At a glance
Editor score	7.3	6.9
Ranking	#5 in Sandbox Software	#7 in Sandbox Software
Best for	Linux teams needing granular policy controls	Enterprise agent workloads across operating systems
Pricing model	Free plan + paid	Paid
Starting price	Not published	Not published
Free plan	✓ (best)	Not published
Free trial	—	—
Deployment	Self-hosted	Cloud, Self-hosted
Support	Email, Community, Docs	Email, Docs
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Sandlock 3/3 · Context Agent Sandboxes 2/3
Persistent storage	✓ (best)	—
Network controls	✓	✓
API or CLI access	✓	✓
Specs
Isolation method	Not published	Not published
Concurrent environments	Not published	Not published
Deployment	Self_hosted	Both
Our review
Pros	Filesystem, network, syscall, and resource controls Open source with CLI, Python, Rust, and Go SDKs OCI runtime supports containerd, CRI-O, and Kubernetes	Supports isolated Windows, Linux, and macOS environments Adds snapshots, branching, rollback, recording, and exports Offers cloud or on-premises deployment with network egress controls
Cons	Core platform coverage is Linux-only HTTP API and Scheduler pricing depends on fleet size or node count Fleet deployment features are split across commercial components	Pricing requires a sales conversation Sandbox deletion after each task run limits retained state API and self-hosted deployment may require infrastructure ownership
Our verdict	Sandlock is a Linux process sandbox for running untrusted code, aimed at teams that need policy-level control over filesystems, network access, system calls, and resource usage. Its core product is Apache-2.0 licensed and available through… Read the review →	Context Agent Sandboxes provides isolated Windows, Linux, and macOS environments for AI agents. It is designed for organizations that need controlled execution, reviewable evidence, and deployment within their own infrastructure. Teams can… Read the review →

Strengths and trade-offs

• Sandlock — where it wins

  • Filesystem, network, syscall, and resource controls
  • Open source with CLI, Python, Rust, and Go SDKs
  • OCI runtime supports containerd, CRI-O, and Kubernetes

  Where it doesn't

  • Core platform coverage is Linux-only
  • HTTP API and Scheduler pricing depends on fleet size or node count
  • Fleet deployment features are split across commercial components

• Context Agent Sandboxes — where it wins

  • Supports isolated Windows, Linux, and macOS environments
  • Adds snapshots, branching, rollback, recording, and exports
  • Offers cloud or on-premises deployment with network egress controls

  Where it doesn't

  • Pricing requires a sales conversation
  • Sandbox deletion after each task run limits retained state
  • API and self-hosted deployment may require infrastructure ownership

• Sandlock7.3/10 · Free plan

  A deep, open-source Linux sandbox for teams that need granular policy controls.

  Visit SandlockFull verdict →
• Context Agent Sandboxes6.9/10 · Pricing on request

  A controlled, reviewable sandbox service for enterprise AI agent execution.

  Visit siteFull verdict →