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Living Brain 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.

Living Brain compared with WBX Sandbox
DetailLiving Brain logo Living Brain WBX Sandbox
What it doesA persistent and self-learning interoperable memory layer for AI agents and tools. Secure execution for AI agents in isolated Firecracker microVMs or WebAssembly
StageNot given Not given
FoundedNot given Not given
Based inNot given CZ
Pricing modelFreemium Not given
PricingLiving Brain API: $8 per 1M input tokens and $0.50 per 1M output tokens, pay as you go with $5 minimum top-up and no monthly minimum. Living Brain Workspace: $99 per month (most popular), includes three team seats, $80 shared monthly credits for first three cycles then $50, managed Brains and agents 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
  • Semantic search and connection discovery
  • Memory scoring and optimization
  • REST API, SDK, CLI and MCP support
  • Document extraction and storage
  • Audio transcription
  • Webhook subscriptions and integrations
  • Slack and Telegram capture
  • Scheduled briefs and page history
  • Markdown export and structured output
  • Multi-brain and team collaboration
  • 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
  • 22.6X fewer tokens per question and 95% lower cost per task vs full context baseline
  • 0% hallucinations on LongMemEval-S evaluation
  • Works across 60+ AI platforms via unified API
  • 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)12 +1 (up) since last check2 no change since last check
Trust Flow (Majestic)70
Citation Flow (Majestic)180
Referring domains (Majestic)30

4 details filled in for both companies.

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