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Langfuse vs fractal

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 fractal
Detail Langfuse fractal
What it doesOpen Source Agent Evals & Observability Long-term memory for AI agents that organizes itself and corrects itself
StageEstablished MVP
FoundedNot given Not given
Based inDE SE
Pricing modelFreemium Free
PricingNot given Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
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
  • Self-correcting memory that updates when facts change
  • Historical memory queries with time-based retrieval
  • Automatic topic organization and hierarchy
  • Separate memory for each agent with controlled sharing
  • Multi-agent support via MCP, REST API, or LangGraph
  • AES-256 encryption at rest and in backups
  • OAuth 2.1 authentication and API key management
  • Data export and deletion capabilities
  • 37 MCP tools with automated verification on every code change
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
  • Understands what changed, when it was true, and where it belongs - beyond vector database similarity
  • Never contradicts itself by automatically replacing outdated facts
  • Fully GDPR aligned with built-in privacy by design
  • Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
  • Data stays in Europe on AWS eu-north-1 and never used for model training
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 checkNot checked yet no change since last check
Trust Flow (Majestic)350
Citation Flow (Majestic)540
Referring domains (Majestic)61140

6 details filled in for both companies.

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