Skip to main content
NexoraLaunch home

Build log live

Vectorize vs Threadless AI

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 Threadless AI
DetailVectorize logo VectorizeThreadless AI logo Threadless AI
What it doesAgent memory that learns from experience Hosted memory for AI agents that forgets like people do
StageStartup Not given
Founded2024 Not given
Based inUS Not given
Pricing modelFreemium Free trial
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 Two meters: user turns (per user turn) and stored memory (per GB-month). Pricing to be announced. Free tier with monthly allowance of turns and memories.
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
  • Conversation episodes with automatic cutting and concept-based organization
  • Activation fading by square root of time with significance tracking
  • Automatic fact extraction and indexing for recall
  • Recall system that surfaces relevant past facts when needed
  • Sleep function that fades context after 24+ hours of silence
  • Fallback to local tail when service is unreachable
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
  • Forgets like people do with fading by time, not truncation
  • Your model, your key, your loop; service only holds history
  • Facts kept permanently even as episodes fade from view
  • Decorate, submit, report: only three lines of integration
  • Human-inspired memory mechanism based on cognitive science
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 checkNot checked yet no change since last check
Trust Flow (Majestic)180
Citation Flow (Majestic)470
Referring domains (Majestic)13780

5 details filled in for both companies.

More alternatives to Vectorize More alternatives to Threadless AI

Ask a question