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Relatch vs Vectorize

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

Relatch compared with Vectorize
Detail RelatchVectorize logo Vectorize
What it doesTurn your documents into verified, portable skills for any AI agent Agent memory that learns from experience
StageNot given Startup
FoundedNot given 2024
Based inIN US
Pricing modelFree Freemium
PricingFree during early validation phase with daily and weekly usage limits 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
  • Automatic document type detection
  • Multi-format file support (PDF, DOCX, CSV, XML, Markdown, TXT, JSON)
  • Claude Projects integration
  • OpenAI Codex CLI export
  • Privacy-first design with no data storage
  • 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
  • Automatic structure detection and template selection based on document content type
  • No coding experience required to create AI skill files
  • Works with existing Claude and Codex accounts—no Pro required
  • Fast processing—results in under one minute
  • Client-side processing with immediate file deletion after use
  • 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)4 +1 (up) since last check68 +1 (up) since last check
Trust Flow (Majestic)1118
Citation Flow (Majestic)1947
Referring domains (Majestic)411378

6 details filled in for both companies.

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