HOL Guard vs Harny

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 Harny
Detail	HOL Guard	Harny
What it does	Runtime security layer that stops risky AI actions before they execute	Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	CA
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-	Free: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly.
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	Timestamped memory ingestion with backdating capability Per-user data isolation and privacy scoping Ranked memory recall with dated evidence Connected accounts integration per user Long-running agent jobs with folder-level operations Configurable token ceiling per API call Enforced action limits on agent operations Complete action audit trail with hash chaining MCP server integration for Claude and other clients
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	Highest published BEAM benchmark score at 128K tokens: 85.1, compared to competing memory systems 98% fewer tokens required than raw tool output, making responses 4× cheaper Works with 20+ agent frameworks including LangChain, LangGraph and LlamaIndex First 500 monthly-active end users free forever Per-person billing model scales with user growth, not API calls
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	1

5 details filled in for both companies.

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