Skip to main content
NexoraLaunch home

Build log live

Langfuse vs Vectorize

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

Langfuse compared with Vectorize
Detail LangfuseVectorize logo Vectorize
What it doesOpen Source Agent Evals & Observability Agent memory that learns from experience
StageEstablished Startup
FoundedNot given 2024
Based inDE US
Pricing modelFreemium 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
  • Hierarchical traces capture every LLM call, tool invocation, and retrieval step
  • LLM-as-a-judge, heuristic functions, or human review evaluations
  • Prompt management with one-click deployments and rollbacks
  • Playground to test prompts on real production inputs and compare models
  • Experiments with test cases and side-by-side comparison
  • Human annotation and collaborative human-in-the-loop workflows
  • Cost and latency monitoring with dashboards and alerts
  • REST APIs and Query SDK for data access
  • Langfuse Assistant to automate the AI engineering loop
  • 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
  • MIT licensed open source platform with no data lock-in
  • Enterprise scale architecture handling billions of monthly events
  • Works with any language and framework with no framework lock-in
  • Async by default so tracing never blocks your application
  • 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)80 +1 (up) since last check68 +1 (up) since last check
Trust Flow (Majestic)3518
Citation Flow (Majestic)5447
Referring domains (Majestic)61141378

6 details filled in for both companies.

More alternatives to Langfuse More alternatives to Vectorize

Ask a question