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fractal 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.

fractal compared with Port of Context
Detail fractalPort of Context logo Port of Context
What it doesLong-term memory for AI agents that organizes itself and corrects itself Context layer platform for regulated industries
StageMVP Not given
FoundedNot given Not given
Based inSE Not given
Pricing modelFree Freemium
PricingPersonal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support. 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
  • Self-correcting memory that updates when facts change
  • Historical memory queries with time-based retrieval
  • Automatic topic organization and hierarchy
  • Separate memory for each agent with controlled sharing
  • Multi-agent support via MCP, REST API, or LangGraph
  • AES-256 encryption at rest and in backups
  • OAuth 2.1 authentication and API key management
  • Data export and deletion capabilities
  • 37 MCP tools with automated verification on every code change
  • 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
  • Understands what changed, when it was true, and where it belongs - beyond vector database similarity
  • Never contradicts itself by automatically replacing outdated facts
  • Fully GDPR aligned with built-in privacy by design
  • Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
  • Data stays in Europe on AWS eu-north-1 and never used for model training
  • 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)Not checked yet no change 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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