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Vectorize vs Token Security

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 Token Security
DetailVectorize logo VectorizeToken Security logo Token Security
What it doesAgent memory that learns from experience AI Agent and Non-Human Identity Security Platform
StageStartup Not given
Founded2024 Not given
Based inUS US
Pricing modelFreemium Not given
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 Not given
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
  • AI Agent and MCP Server Discovery
  • Over 1,000 Built-In Integrations
  • Intent-Based Permissioning
  • Identity Threat Detection and Response
  • Lifecycle Management
  • Accountability and Traceability
  • Compliance and Auditability
  • Security Posture Management
  • AI-Driven Automation and Remediation
  • Token MCP Server
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
  • Identity-first approach built for AI agents, not human-centric tools
  • Unified identity graph correlating agents, humans, secrets, permissions, and data
  • Intent-aware least-privilege enforcement across agent lifecycle
  • Deep continuous discovery across on-prem, hybrid, and cloud environments
  • Native AI capabilities with Token MCP Server and AI Agent
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 check63 +1 (up) since last check
Trust Flow (Majestic)1821
Citation Flow (Majestic)4744
Referring domains (Majestic)1378680

4 details filled in for both companies.

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