Mnemoverse vs boxd

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

Mnemoverse compared with boxd
Detail	Mnemoverse	boxd
What it does	One memory, every AI tool. Write once, recall anywhere.	Composable computers for devs and agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	NL
Pricing model	Freemium	Not given
Pricing	Free: $0 with 1,000 queries/day, 10,000 atoms, 60 req/min. Pro: $29/mo with 50,000 queries/day, 500,000 atoms, 600 req/min. Team: $149/mo with 500,000 queries/day, 5,000,000 atoms, 3,000 req/min. Enterprise: Custom limits and pricing.	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	Persistent cross-tool memory API working with Claude, Cursor, VS Code, ChatGPT, Python, and any HTTP client Hebbian associations that strengthen links between concepts recalled together Outcome feedback that re-ranks recall based on usefulness Automatic query expansion along learned associations Python SDK with typed errors for write, read, feedback, and stats REST API for any HTTP client Per-tenant org isolation and SHA-256 hashed API keys	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	Learns from outcomes and improves over time, unlike vector databases that only perform similarity search Works across every AI tool with a single API key, not locked to one platform Complementary to RAG: remembers outcomes and lessons, not just document similarity Free tier with full API access and MCP server, no credit card required	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 plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	40 −1 (down) since last check	44 no change since last check
Trust Flow (Majestic)	7	8
Citation Flow (Majestic)	37	37
Referring domains (Majestic)	200	151

4 details filled in for both companies.

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