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Fulcra vs Vectorize

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

Fulcra compared with Vectorize
Detail FulcraVectorize logo Vectorize
What it doesThe user-owned context backend for AI agents Agent memory that learns from experience
StageGrowing Startup
FoundedNot given 2024
Based inUS US
Pricing modelFreemium Freemium
PricingNot given Self-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
Key features
  • One user-owned context for every agent
  • Agents wake up to what changed since their last loop
  • Readable, traceable context with every change logged
  • End-to-end encryption with AES-256
  • Granular sharing controls with revocable access
  • Right to export, delete, and transparency
  • Context that travels across AI products and models
  • 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
What makes it different
  • User-owned context that travels with you across AI products
  • Traceable agent activity with full visibility and control
  • Agents coordinate through shared context without learning being trapped in silos
  • End-to-end encryption with no data selling
  • 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
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)37 +3 (up) since last check68 +1 (up) since last check
Trust Flow (Majestic)2018
Citation Flow (Majestic)4047
Referring domains (Majestic)5931378

6 details filled in for both companies.

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