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Vectorize vs AI Security Guard

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 AI Security Guard
DetailVectorize logo VectorizeAI Security Guard logo AI Security Guard
What it doesAgent memory that learns from experience Research-backed education and tools for securing autonomous AI agents
StageStartup Startup
Founded2024 2025
Based inUS US
Pricing modelFreemium Paid
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
  • AgentGuard360 dashboard and Agent Proxy Tool Interface
  • Supply chain protection blocking 11,000+ known malicious pip and npm packages
  • 14-phase device hardening scans with predictive risk analytics
  • Machine-learning-aided runtime scanning of agent content
  • Jailbreak detection and prompt injection prevention
  • Privacy-first architecture keeps data on device by default
  • 500+ model pricing with budget tracking
  • Protection SDK with single function call content scanning
  • Learning Center with guides, how-tos, and CVE analysis
  • Original research on agentic AI and LLM cost optimization
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
  • No PhD in security required to protect AI agents
  • Free resources and research with optional paid tools
  • Secure agents and environments in five minutes
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 check18 no change since last check
Trust Flow (Majestic)182
Citation Flow (Majestic)4727
Referring domains (Majestic)137886

7 details filled in for both companies.

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