Langfuse vs FastRecall
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 FastRecall
| Detail | Langfuse | FastRecall |
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| What it does | Open Source Agent Evals & Observability
| Context across AI models. Made for routers and multi-agent systems.
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| Stage | Established
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| Founded | Not given
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| Based in | DE
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| Pricing model | freemium
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| Pricing | Not given
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| 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
| - Lightning fast context recall
- Free context retrievals
- Model-free context compaction
- Multi-model support
- FlashCompact intelligent context organization
- Model provider caching integration
- Persistent context across providers
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| 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
| - No LLM-based compaction overhead
- Multi-model compatibility
- Inexpensive storage pricing
- Fast recalls with no retrieval fees
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 79 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 35 | 0 |
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| Citation Flow (Majestic) | 54 | 25 |
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| Referring domains (Majestic) | 6114 | 27 |
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3 details filled in for both companies.
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