Vectorize vs Kognite

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 Kognite
Detail	Vectorize	Kognite
What it does	Agent memory that learns from experience	MCP-native memory layer for AI agents
Stage	Startup	Not given
Founded	2024	Not given
Based in	US	RO
Pricing model	Freemium	Freemium
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	Spark: Free (5,000 new memories/month, 100 searches/day). Builder: $19/mo (50,000 new memories/month, 1,000 searches/day). Studio: $79/mo (250,000 new memories/month, 5,000 searches/day). Scale: $249/mo (1,500,000 new memories/month, 20,000 searches/day). Enterprise: custom pricing with unlimited te
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	Knowledge Graph on every plan including free tier Hybrid semantic and full-text search with reranking 18 Typed MCP Tools across 8 AI agents and editors TypeScript and Python SDKs with full REST API Team collaboration with roles and permissions Row-level security isolation enforced by database Agent Skills for reusable agent behaviors Setup in 60 seconds with browser sign-in
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	Graph memory included on free plan, competitors charge $249/mo for it First paid tier at $19/mo with 50,000 memories and 1,000 daily searches
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	10 no change since last check
Trust Flow (Majestic)	18	0
Citation Flow (Majestic)	47	23
Referring domains (Majestic)	1378	23

6 details filled in for both companies.

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