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Vectorize vs Endgame

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 Endgame
DetailVectorize logo VectorizeEndgame logo Endgame
What it doesAgent memory that learns from experience Context graph for AI-native revenue teams
StageStartup Established
Founded2024 2021
Based inUS Not given
Pricing modelFreemium Contact for pricing
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
  • One context layer connecting all GTM tools and AI agents
  • Agent observability with end-to-end tracing
  • Source citations for every answer
  • Permission-aware answers scoped to user access levels
  • Playbook grounding to enforce business semantics
  • Corrections inbox for agent-generated changes
  • Integration with Claude, ChatGPT, Slack, Salesforce and other tools
  • Open Model Context Protocol (MCP) for any client
  • SOC 2 Type II compliance and GDPR/CCPA support
  • 140x faster answers via pre-compiled context
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
  • 40x lower cost through pre-compiled context vs raw data processing
  • 98% answer accuracy with no hallucinations through checked data
  • Agent-agnostic: works with any AI tool your team uses
  • Never trains on customer data with enterprise-grade security
  • Set up within days with forward-deployed engineer support
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 check48 −2 (down) since last check
Trust Flow (Majestic)188
Citation Flow (Majestic)4735
Referring domains (Majestic)1378323

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