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Harny vs Mlola

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

Harny compared with Mlola
DetailHarny logo HarnyMlola logo Mlola
What it doesAgent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record. Reliable browser use with a fast path: deterministic mechanics, safety and verification, and a model asked only for judgement.
StageNot given Not given
FoundedNot given Not given
Based inCA ID
Pricing modelFreemium Not given
PricingFree: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly. Not given
Key features
  • 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
  • Observe page state in atomic passes without screenshots
  • Model picks operations only from compatible targets
  • Risk classification for payments, deletions, sends and secrets
  • Typed actions with freshness, visibility and occlusion checks
  • Append-only event log for replay and audit
  • Chrome automation through Playwright
  • Browser extension for agent isolation
What makes it different
  • 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
  • Deterministic browser mechanics as default, models only for judgement and writing
  • Safety enforced through code boundaries, not prompt requests
  • Every step verified independently before proceeding
  • Cost measured by fast-path share on every run
  • Capabilities advertised honestly, imitation refused
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)Not checked yet no change since last check10 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)027
Referring domains (Majestic)128

4 details filled in for both companies.

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