Vectorize vs Ugoko

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

Vectorize compared with Ugoko
Detail	Vectorize	Ugoko
What it does	Agent memory that learns from experience	Run agents on cloud computers and call language and media models
Stage	Startup	Not given
Founded	2024	Not given
Based in	US	Not given
Pricing model	Freemium	Not given
Pricing	Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok	Free 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
Key features	Per-user persistent memory with preferences, history and decisions kept separate Cross-session persistence allows context to survive weeks between interactions Fast parallel retrieval in under 100ms through four strategies running simultaneously Works with any LLM without losing learned context when swapping models Learns from mistakes and corrects behavior on repeated problems Automatic pattern detection synthesizes individual facts into consolidated knowledge Conflict detection preserves both old and new states with timestamps when facts change Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot	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
What makes it different	94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0% MIT licensed open source with no usage limits, telemetry or restrictions Reflection layer automatically builds judgment and mental models over time without manual tagging Entity resolution handles hundreds of entities with 99.5% query reduction	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
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)	68 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	18	0
Citation Flow (Majestic)	47	0
Referring domains (Majestic)	1378	0

4 details filled in for both companies.

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