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Harny vs WBX Sandbox

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Harny compared with WBX Sandbox
DetailHarny logo Harny WBX Sandbox
What it doesAgent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record. Secure execution for AI agents in isolated Firecracker microVMs or WebAssembly
StageNot given Not given
FoundedNot given Not given
Based inCA CZ
Pricing modelFreemium Not given
PricingFree: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly. Free plan: no card required, 5 concurrent sandboxes, up to 1 hour per sandbox, one-time welcome credit. Pro: $49.00/month (excl. VAT) with $25.00 usage credit, 25 concurrent sandboxes, up to 24 hours per sandbox, 100 vCPU/100 GB RAM total. Team: $119.00/month (excl. VAT) with $50.00 usage credit, 10
Key features
  • Timestamped memory ingestion with backdating capability
  • Per-user data isolation and privacy scoping
  • Ranked memory recall with dated evidence
  • Connected accounts integration per user
  • Long-running agent jobs with folder-level operations
  • Configurable token ceiling per API call
  • Enforced action limits on agent operations
  • Complete action audit trail with hash chaining
  • MCP server integration for Claude and other clients
  • Isolated Firecracker microVMs with own kernel and filesystem
  • Background jobs that survive disconnects
  • Batch execution with up to 1,000 jobs and dependency passing
  • WebAssembly jobs starting in milliseconds without VM boot
  • Budget Guard with cost reserves and limits
  • Execution receipts with runtime, isolation, resources and file hashes
  • Native MCP server integration for ChatGPT and Claude
  • Compact log digests instead of full 5,000-line logs
  • Server-side job waiting with signed webhooks
  • Verified package cache for PyPI, npm, Go and Rust
What makes it different
  • Highest published BEAM benchmark score at 128K tokens: 85.1, compared to competing memory systems
  • 98% fewer tokens required than raw tool output, making responses 4× cheaper
  • Works with 20+ agent frameworks including LangChain, LangGraph and LlamaIndex
  • First 500 monthly-active end users free forever
  • Per-person billing model scales with user growth, not API calls
  • Two runtimes with honest isolation labeling
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check2 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)00
Referring domains (Majestic)10

5 details filled in for both companies.

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