Skip to main content
NexoraLaunch home

Build log live

Cogni vs boxd

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

Cogni compared with boxd
Detail Cogniboxd logo boxd
What it doesMemory that reasons Composable computers for devs and agents
StageNot given Not given
FoundedNot given Not given
Based inUS NL
Pricing modelFreemium Not given
PricingFree plan at $0 USD; Pro plan at $5 USD per month. 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
  • Entity-graph spreading activation for cross-vocabulary retrieval
  • Works with any LLM model
  • No LLM or GPU in retrieval path
  • Point-in-time and windowed recall
  • Timestamped memories
  • Fixed recall cost as memory grows
  • 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
  • Reaches answers across unrelated documents that share no keywords, where vector search scores zero
  • Deterministic retrieval with no model in the path, so results never vary between queries
  • Constant per-query cost regardless of memory size, even at 32,000 words
  • No infrastructure to run—no vector database, cluster, or GPU needed
  • Works with any model, so small local models gain the most from better retrieval
  • 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)4 no change since last check44 no change since last check
Trust Flow (Majestic)28
Citation Flow (Majestic)2137
Referring domains (Majestic)34151

5 details filled in for both companies.

More alternatives to Cogni More alternatives to boxd

Ask a question