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fractal vs boxd

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

fractal compared with boxd
Detail fractalboxd logo boxd
What it doesLong-term memory for AI agents that organizes itself and corrects itself Composable computers for devs and agents
StageMVP Not given
FoundedNot given Not given
Based inSE NL
Pricing modelFree Not given
PricingPersonal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support. Credit-based pricing: €0.039 per vCPU-hour (active only), €0.012 per GiB-hour for RAM (memory in use), €0.00008 per GiB-hour for disk (written space only). New accounts receive €30 in free credits. A typical 2 vCPU / 8 GiB machine costs approximately €0.03 per hour while running (with 10% vCPU activ
Key features
  • Self-correcting memory that updates when facts change
  • Historical memory queries with time-based retrieval
  • Automatic topic organization and hierarchy
  • Separate memory for each agent with controlled sharing
  • Multi-agent support via MCP, REST API, or LangGraph
  • AES-256 encryption at rest and in backups
  • OAuth 2.1 authentication and API key management
  • Data export and deletion capabilities
  • 37 MCP tools with automated verification on every code change
  • Hardware-isolated Linux VMs with persistent state between sessions
  • Snapshots and checkpoints for machine state management
  • Automatic hibernation after 4 hours idle, paying for disk only
  • Pre-installed tools: Claude Code, Docker, Node, Python, Go, git, Chrome, ffmpeg, nginx
  • Public HTTPS URL per machine with custom domain support
  • Egress allowlist for network security and isolation
  • CLI, API, Python and TypeScript SDKs for automation
  • Integration with GitHub, Linear and Slack across all machines
What makes it different
  • Understands what changed, when it was true, and where it belongs - beyond vector database similarity
  • Never contradicts itself by automatically replacing outdated facts
  • Fully GDPR aligned with built-in privacy by design
  • Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
  • Data stays in Europe on AWS eu-north-1 and never used for model training
  • Hardware-isolated real VMs instead of containers, with full kernel isolation
  • Persistent machines remember running processes and state between disconnects
  • Pay only for active resources used, not provisioned size
  • Free self-hosting up to 16 vCPUs on your own infrastructure
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 check44 no change since last check
Trust Flow (Majestic)08
Citation Flow (Majestic)037
Referring domains (Majestic)0151

5 details filled in for both companies.

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