HOL Guard vs Vectorize

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

HOL Guard compared with Vectorize
Detail	HOL Guard	Vectorize
What it does	Runtime security layer that stops risky AI actions before they execute	Agent memory that learns from experience
Stage	Not given	Startup
Founded	Not given	2024
Based in	Not given	US
Pricing model	Freemium	Freemium
Pricing	Free plan: Local Guard runtime with real-time approval prompts and local audit log. Solo $4.99/mo: adds 2 cloud-connected devices and 30-day cloud retention. Pro $15/mo: adds 5 cloud-connected devices, 180-day retention, and policy versioning. Team $30/seat/mo: up to 25 cloud-connected devices, 365-	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
Key features	Surface-specific pre-action interception Policy routing with allow, observe, ask, and block outcomes Local review and evidence workflows MCP, skill, plugin, and package inspection Layered local and team policy Open source runtime under Apache-2.0 Offline local protection without cloud connectivity Continuous GitHub leaked-secret monitoring Decision audit trail and export Support for multiple AI coding agents	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
What makes it different	Open-source core runtime runs locally without cloud requirement Protects against secrets, destructive commands, prompt injection, and supply chain attacks No source code or secrets uploaded; decisions stored as redacted summaries	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
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)	53 +1 (up) since last check	68 +1 (up) since last check
Trust Flow (Majestic)	27	18
Citation Flow (Majestic)	44	47
Referring domains (Majestic)	735	1378

5 details filled in for both companies.

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