Harny vs Port of Context

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 Port of Context
Detail	Harny	Port of Context
What it does	Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.	Context layer platform for regulated industries
Stage	Not given	Not given
Founded	Not given	Not given
Based in	CA	Not given
Pricing model	Freemium	Freemium
Pricing	Free: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly.	Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
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	Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models Full observability: trace every tool call, retrieval, and reasoning step Isolated execution: tool calls run in isolated environments by default Code mode: reduces token usage to one-third of traditional approaches Self-hosted on your infrastructure: cloud, on-prem, or air-gapped MCP server integration: works with existing MCP servers unchanged Open source under MIT license Automatic model failover and switching
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	Isolated by default with no direct system access Reduces token usage to approximately one-third Runs end-to-end air-gapped with no external network calls Full transparency through open agent-observability spec (AVP) No vendor lock-in: switch models without rewriting agents
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)	1 +1 (up) since last check	38 no change since last check
Trust Flow (Majestic)	0	14
Citation Flow (Majestic)	0	28
Referring domains (Majestic)	1	102

5 details filled in for both companies.

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