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Vectorize vs fractal

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

Vectorize compared with fractal
DetailVectorize logo Vectorize fractal
What it doesAgent memory that learns from experience Long-term memory for AI agents that organizes itself and corrects itself
StageStartup MVP
Founded2024 Not given
Based inUS SE
Pricing modelFreemium Free
PricingSelf-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok Personal: 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.
Key features
  • Per-user persistent memory with preferences, history and decisions kept separate
  • Cross-session persistence allows context to survive weeks between interactions
  • Fast parallel retrieval in under 100ms through four strategies running simultaneously
  • Works with any LLM without losing learned context when swapping models
  • Learns from mistakes and corrects behavior on repeated problems
  • Automatic pattern detection synthesizes individual facts into consolidated knowledge
  • Conflict detection preserves both old and new states with timestamps when facts change
  • Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
  • 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
What makes it different
  • 94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0%
  • MIT licensed open source with no usage limits, telemetry or restrictions
  • Reflection layer automatically builds judgment and mental models over time without manual tagging
  • Entity resolution handles hundreds of entities with 99.5% query reduction
  • 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
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)68 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)180
Citation Flow (Majestic)470
Referring domains (Majestic)13780

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