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Vectorize vs Axonio

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 Axonio
DetailVectorize logo VectorizeAxonio logo Axonio
What it doesAgent memory that learns from experience Persistent memory for AI agents and robots with Git-style versioning
StageStartup Not given
Founded2024 Not given
Based inUS Not given
Pricing modelFreemium Freemium
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
  • Hybrid vector and knowledge-graph retrieval
  • Zero-copy state branching and merging
  • 44 memory tools over MCP protocol
  • Sub-0.4ms P99 retrieval latency
  • Built-in importers from Mem0, Zep, Pinecone and others
  • Entity deduplication and linking
  • Offline operation with fleet synchronization
  • Memory Copilot for schema generation
  • Object storage for multimodal state
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
  • Memory versioning with Git-style fork, diff and merge—test changes safely and undo mistakes
  • Native MCP integration: one URL works with Claude, Cursor, Windsurf and any MCP client
  • Seamless migration from Mem0, Zep, Pinecone and other systems without data loss
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 check7 +4 (up) since last check
Trust Flow (Majestic)180
Citation Flow (Majestic)4725
Referring domains (Majestic)13785

4 details filled in for both companies.

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