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Rhyven vs Vectorize

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

Rhyven compared with Vectorize
DetailRhyven logo RhyvenVectorize logo Vectorize
What it doesMarketplace and runtime for headless, agent-first apps Agent memory that learns from experience
StageNot given Startup
FoundedNot given 2024
Based inNot given US
Pricing modelOpen source Freemium
PricingNot given 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
  • Install agent-first apps without graphical interface
  • Connect via MCP or REST protocols
  • Browse and install from marketplace
  • Run apps locally on your server or computer
  • Share app results between connected agents
  • Build custom apps using Python, JavaScript or containers
  • Test improvements before reusing apps
  • Keep apps private or publish to marketplace
  • Optional runner to track tasks without model API agent
  • Linux x86-64 and ARM64 support
  • 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
  • Data stays in your own environment
  • Add tools without changing agent harness
  • Multiple agents share results in same collection
  • Agents can create tools by automating repeated work
  • Open source with Apache 2.0 license
  • 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)Not checked yet −1 (down) since last check68 +1 (up) since last check
Trust Flow (Majestic)018
Citation Flow (Majestic)1247
Referring domains (Majestic)211378

4 details filled in for both companies.

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