HOL Guard vs fractal

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 fractal
Detail	HOL Guard	fractal
What it does	Runtime security layer that stops risky AI actions before they execute	Long-term memory for AI agents that organizes itself and corrects itself
Stage	Not given	MVP
Founded	Not given	Not given
Based in	Not given	SE
Pricing model	Freemium	Free
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-	Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
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	Self-correcting memory that updates when facts change Historical memory queries with time-based retrieval Automatic topic organization and hierarchy Separate memory for each agent with controlled sharing Multi-agent support via MCP, REST API, or LangGraph AES-256 encryption at rest and in backups OAuth 2.1 authentication and API key management Data export and deletion capabilities 37 MCP tools with automated verification on every code change
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	Understands what changed, when it was true, and where it belongs - beyond vector database similarity Never contradicts itself by automatically replacing outdated facts Fully GDPR aligned with built-in privacy by design Two-minute integration with Claude, ChatGPT, Cursor and any MCP client Data stays in Europe on AWS eu-north-1 and never used for model training
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	Not checked yet no change since last check
Trust Flow (Majestic)	27	0
Citation Flow (Majestic)	44	0
Referring domains (Majestic)	735	0

5 details filled in for both companies.

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