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Modal vs Vectorize

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

Modal compared with Vectorize
Detail ModalVectorize logo Vectorize
What it doesThe platform for production AI Agent memory that learns from experience
StageNot given Startup
FoundedNot given 2024
Based inUS US
Pricing modelPaid Freemium
PricingStarter plan is free with $30/month compute credits. Team plan is $250/month plus compute. Enterprise plan is custom. Compute is billed per second for CPU, GPU, and memory with no charges for idle time. 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
  • Serve LLMs, image, video, and audio models
  • Isolated environments for coding agents and RL rollouts
  • Fine-tune and train models on GPUs
  • Autoscale compute from zero to thousands of GPUs
  • Distributed storage for models and weights
  • Global capacity across 20+ clouds
  • Serverless functions with HTTPS endpoints
  • Out-of-the-box observability and logs
  • 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
  • Custom infrastructure built for AI including container runtime, storage, and scheduler
  • Sub-second container startup times for GPU workloads
  • Pay only by the second with no idle charges
  • Programmatically create millions of concurrent sandboxes
  • 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)81 +1 (up) since last check68 +1 (up) since last check
Trust Flow (Majestic)3318
Citation Flow (Majestic)5347
Referring domains (Majestic)61741378

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