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fractal vs Exabase

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 Exabase
Detail fractalExabase logo Exabase
What it doesLong-term memory for AI agents that organizes itself and corrects itself Context infrastructure for AI agents
StageMVP Startup
FoundedNot given Not given
Based inSE GB
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. Not given
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
  • Memory system with self-managing advanced memory
  • Isolated per-tenant instances with version rollback
  • Portable context server with files, notes and links
  • Sub-document multi-modal hybrid search
  • Structured data extraction from PDFs, websites and images
  • Autonomous agents for knowledge base automation
  • 99.9% uptime SLA
  • AES-256 encryption at rest and SSL in transit
  • TypeScript SDK and REST API
  • Model-agnostic and framework-agnostic
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  • Never contradicts itself by automatically replacing outdated facts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
  • Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
  • State-of-the-art on two leading AI memory benchmarks
  • Full-stack data layer eliminating need for multiple services
  • Production-tested at scale powering Fabric platform
  • Self-improving memory that tracks relationships and resolves contradictions
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 check29 no change since last check
Trust Flow (Majestic)011
Citation Flow (Majestic)032
Referring domains (Majestic)0122

6 details filled in for both companies.

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