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Langfuse vs Wraith
Observability for LLM apps, unrelated to interview assistance.
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Side by side
- What it is
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Wraith:Invisible AI assistant that helps developers answer technical interview questions discreetly.
- Best for
- Langfuse:LLM observability & analytics
- Wraith:Stealth AI support during interviews
- Who it’s for
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Wraith:Developers preparing for live technical interviews.
- Pricing
- Langfuse:Freemium
- Wraith:Paid
- Plans
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Wraith:—
- Open source
- Langfuse:Yes, 35,097 GitHub stars
- Wraith:—
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- Wraith:Ollama, Kilo Code, Windows, macOS, Linux
- DevHunt upvotes
- Langfuse:89
- Wraith:1
- Launched on DevHunt
- Langfuse:Jan 2023
- Wraith:Apr 2026
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
Wraith features
- Ghost Capture. Keeps the app frameless and out of shared-screen view.
- Session Memory. Three-layer in-memory context tracks interview turns and follow-ups.
- Resume Intelligence. Injects your resume data into prompts for personalized answers.
- Connector System. Supports local Ollama and Kilo Code cloud models via a unified API.
- Stealth Browser. Hardware toggles control mic, camera, audio and invisibility mode.
- Smart Follow-up Detection. Auto-detects elliptical questions and rewrites them with full context.
- Stream Cancel. Allows aborting any in-flight AI response instantly.
- GPU Offload Controller. Adjusts GPU usage for real-time inference performance.
Based on each tool's website and DevHunt data. Details may change; check the official sites.