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Ugoko vs Exabase

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

Ugoko compared with Exabase
DetailUgoko logo UgokoExabase logo Exabase
What it doesRun agents on cloud computers and call language and media models Context infrastructure for AI agents
StageNot given Startup
FoundedNot given Not given
Based inNot given GB
Pricing modelNot given Freemium
PricingFree in test mode with 2 hours of computer time per day. Live mode: computers $0.0000556 per second ($0.20 per hour), billed by the second while awake. Claude Sonnet 5.5 (default): $1.92 per million input tokens, $9.60 per million output tokens. Language models from $0.096 to $9.60 per million input Not given
Key features
  • Run agents from Claude Code, Codex, pi or Ugoko's own agent
  • Language models from Claude, Kimi, GLM, Grok and GPT
  • Image, video, audio and speech generation
  • Per-end-user budgets and metering
  • Computer sleeps free after 5 idle minutes
  • Command-line interface with one-command setup
  • Test mode free with real computer time
  • No failed generation charges
  • Webhooks and event streaming
  • Memory system with self-managing advanced memory
  • Isolated per-tenant instances with version rollback
  • Portable context server with files, notes and links
  • Sub-document multi-modal hybrid search
  • Structured data extraction from PDFs, websites and images
  • Autonomous agents for knowledge base automation
  • 99.9% uptime SLA
  • AES-256 encryption at rest and SSL in transit
  • TypeScript SDK and REST API
  • Model-agnostic and framework-agnostic
What makes it different
  • Pay only for computer time while awake, with sleep cost-free
  • One project balance for all: computers, all language models and all media models
  • Includes Claude Code, Codex and preview harnesses with no separate gateway to build
  • Failed jobs are free; pay only for successful generations
  • Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
  • State-of-the-art on two leading AI memory benchmarks
  • Full-stack data layer eliminating need for multiple services
  • Production-tested at scale powering Fabric platform
  • Self-improving memory that tracks relationships and resolves contradictions
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 check29 no change since last check
Trust Flow (Majestic)011
Citation Flow (Majestic)032
Referring domains (Majestic)0122

3 details filled in for both companies.

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