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Vectorize vs Living Brain

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 Living Brain
DetailVectorize logo VectorizeLiving Brain logo Living Brain
What it doesAgent memory that learns from experience A persistent and self-learning interoperable memory layer for AI agents and tools.
StageStartup Not given
Founded2024 Not given
Based inUS Not given
Pricing modelFreemium Freemium
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 Living Brain API: $8 per 1M input tokens and $0.50 per 1M output tokens, pay as you go with $5 minimum top-up and no monthly minimum. Living Brain Workspace: $99 per month (most popular), includes three team seats, $80 shared monthly credits for first three cycles then $50, managed Brains and agents
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
  • Semantic search and connection discovery
  • Memory scoring and optimization
  • REST API, SDK, CLI and MCP support
  • Document extraction and storage
  • Audio transcription
  • Webhook subscriptions and integrations
  • Slack and Telegram capture
  • Scheduled briefs and page history
  • Markdown export and structured output
  • Multi-brain and team collaboration
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
  • 22.6X fewer tokens per question and 95% lower cost per task vs full context baseline
  • 0% hallucinations on LongMemEval-S evaluation
  • Works across 60+ AI platforms via unified API
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 check12 +1 (up) since last check
Trust Flow (Majestic)187
Citation Flow (Majestic)4718
Referring domains (Majestic)13783

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