Vectorize vs Haste Health

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 Haste Health
Detail	Vectorize	Haste Health
What it does	Agent memory that learns from experience	Open-source FHIR server for AI-native health apps
Stage	Startup	Not given
Founded	2024	Not given
Based in	US	Not given
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	Self-hosted: Free under Apache-2.0. Developer tier: $0/month (free hosted tenant, no credit card). Production: $1,500/month (signed BAA, 10,000,000 API points/day, 99.9% uptime SLA). Scale: From $6,000/month (50,000,000 API points/day, 99.95% uptime SLA).
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	FHIR R4 REST API with full CRUD operations OAuth 2.0 and OpenID Connect authentication Model Context Protocol endpoints for AI agents Attribute-based access control with FHIRPath SQL on FHIR analytics views Custom operations in TypeScript Multi-tenant support TOTP MFA and hardened authentication SDKs for TypeScript, Rust and React
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	Normalizes data from Epic, Oracle Health, HL7v2 and any FHIR server into one API No feature gates: same open-source code in self-hosted and hosted versions Production-ready compliance: signed BAA, SOC 2 roadmap, pre-answered security questionnaire
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	2 no change since last check
Trust Flow (Majestic)	18	3
Citation Flow (Majestic)	47	22
Referring domains (Majestic)	1378	13

5 details filled in for both companies.

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