Vectorize vs docspi

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 docspi
Detail	Vectorize	docspi
What it does	Agent memory that learns from experience	Virtual document trees and API for AI agents
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	Free: $0 (10 projects, 2,000 nodes, 2 custom agents, 300 API requests/day). Pro: $4/month or $36/year (50 projects, 20,000 nodes, 10 custom agents, 2,000 API requests/day, 1 custom domain). Team: $29/month or $288/year for the whole workspace (500 projects, 200,000 nodes, 25 custom agents, 20,000 AP
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	Create and organize documents in virtual trees without moving underlying files Connect AI agents through REST API with scoped bearer tokens Project manifest in machine-readable JSON format Sealed secrets for agent-to-agent communication Search documents by name, description, and tags Project health checks with optional auto-repair Agent-to-agent messaging within workspace
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	Index-based organization without moving original files 32 MCP tools for AI agent integration Workspace-wide Team pricing regardless of member count Free plan with no credit card required Automatic TLS certificates for custom domains
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	6 no change since last check
Trust Flow (Majestic)	18	0
Citation Flow (Majestic)	47	15
Referring domains (Majestic)	1378	3

5 details filled in for both companies.

More alternatives to Vectorize More alternatives to docspi