Vectorize vs FloConnector

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 FloConnector
Detail	Vectorize	FloConnector
What it does	Agent memory that learns from experience	Managed MCP connectors for business
Stage	Startup	Not given
Founded	2024	Not given
Based in	US	AU
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	Solo: Free, then $0.01 per external tool call (1,500 free calls to start). Pro: $49/month with 10,000 included calls, then $0.01 per additional call. Scale: $199/month with 50,000 included calls, then $0.01 per additional call. Enterprise: Custom pricing with invoicing for more than 3 workspaces or
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	122+ managed connectors to business tools Skills: reusable procedures for consistent AI execution Tables: persistent records AI maintains between chats Secure client connections without password sharing Team profiles with per-user tool permissions 98.7% token reduction vs loading all tools at once Works with Claude and ChatGPT through MCP protocol
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	Works across 120+ tools in one MCP connection, no coding required Encrypted credentials kept separate from AI, with granular access control 98.7% fewer tokens through on-demand tool loading and server-side queries
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	14
Referring domains (Majestic)	1378	1

6 details filled in for both companies.

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