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Sandbox0 vs Cogni

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

Sandbox0 compared with Cogni
Detail Sandbox0 Cogni
What it doesCloud agent sandbox with persistent filesystem and on-demand compute Memory that reasons
StageMVP Not given
FoundedNot given Not given
Based inUS US
Pricing modelPaid Freemium
PricingCompute: $0.015 per GiB-hour (approximately $0.000004167 per GiB-second, billed by the second). Storage: $0.02 per GiB-month for retained incremental RootFS data and memory checkpoints. Network ingress and egress currently free. Object-store GET and PUT requests free. New users receive $5 free credi Free plan at $0 USD; Pro plan at $5 USD per month.
Key features
  • Automatic filesystem growth as storage fills
  • Pause compute without losing work or paying compute charges
  • Resume to same environment on demand
  • Access files while paused without waking compute
  • Public HTTP services with auto-resume capability
  • Command-line interface (s0 CLI) for agent-native workflows
  • Incremental checkpoints to avoid full filesystem copies
  • Scoped API keys and team-based access controls
  • On-demand file reads without downloading entire filesystem
  • 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
What makes it different
  • Persistent filesystem across pause/resume without duplicating data
  • Pay only for compute time used; paused sandboxes have zero compute charges
  • Automatic filesystem growth so agents can install and persist unlimited tools
  • Same API for both human users and AI agents
  • 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
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)16 +1 (up) since last check4 no change since last check
Trust Flow (Majestic)52
Citation Flow (Majestic)2121
Referring domains (Majestic)1734

6 details filled in for both companies.

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