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Knostic vs Harny

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

Knostic compared with Harny
DetailKnostic logo KnosticHarny logo Harny
What it doesControl plane for agentic AI security on the endpoint Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.
StageNot given Not given
FoundedNot given Not given
Based inUS CA
Pricing modelFreemium Freemium
PricingKirin: Free ($0/mo) for individual developers and small teams (1-5 users), Team plan at $15/mo per user for growing teams (5+ users), Enterprise plan with custom pricing. AgentMesh: Free ($0/mo) with 300 items per category, Premium at $15/mo per user, Pro at $850/mo per user for unlimited API access 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
  • Policy enforcement before agent execution
  • Blocks prompt injections and rogue agent actions
  • Real-time detection of malicious behavior
  • MCP server scanning and blocking
  • Shadow AI discovery across organization
  • Secrets detection and prevention
  • Skills and extensions vetting
  • Dangerous artifacts rejection
  • Support for Cursor, Claude Code, GitHub Copilot, Windsurf
  • Minute-level deployment
  • 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
  • Visibility into shadow AI across enterprise systems
  • Unified control plane for multiple coding agents and IDEs
  • Supply chain threat discovery before components run
  • Secure coding enforcement with threat modeling
  • 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 planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)62 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)160
Citation Flow (Majestic)400
Referring domains (Majestic)8101

6 details filled in for both companies.

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