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Oort 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.

Oort compared with Port of Context
DetailOort logo OortPort of Context logo Port of Context
What it doesOpen-source memory for AI agents that stays correct as facts change Context layer platform for regulated industries
StageNot given Not given
FoundedNot given Not given
Based inSE Not given
Pricing modelFreemium Freemium
PricingOpen Source: free self-hosted. Oort Pro: $19/month (VAT included where applicable) with 5,000 saves a month, 25,000 recalls a month, and 1 GB of memory storage. 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
  • Memory recall with millisecond latency and explanations
  • Automatic fact lifecycle management
  • Data privacy with secrets scrubbed before saving
  • Export and forget capabilities
  • CLI and npm package
  • Integration with ChatGPT and Claude.ai
  • Flat-rate pricing that does not scale with history
  • 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
  • Facts stay correct as they change, with closed-out old versions
  • Costs remain flat as memory history grows
  • Every recall can explain why it returned that memory
  • Self-hosted with no required API keys for open source
  • 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 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)2 +2 (up) since last check38 no change since last check
Trust Flow (Majestic)014
Citation Flow (Majestic)028
Referring domains (Majestic)0102

5 details filled in for both companies.

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