langfuse-docs — Agent Tool by langfuse

by langfuse · Agent Tool · ★ 197

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About langfuse-docs

🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps

agent-skillsagentsgenaihacktoberfestlangfuselarge-language-modelsllmsnextraobservabilityprompt-management

Quick Facts

Stars197
Forks218
LanguageMDX
CategoryAgent Tool
LicenseMIT
Quality Score39.25/100
Open Issues117
Last Updated2026-05-05
Created2023-05-22
Est. Tokens~60903k

Compatible Skills

These tools work well together with langfuse-docs for enhanced workflows:

  • langfuse-mcp — semantic(0.44)+complementary+rare_topics+similar_pop (55%)

langfuse-docs alternative? Top 6 similar tools

Looking for a langfuse-docs alternative? If you're comparing langfuse-docs with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is langfuse-docs?

langfuse-docs is 🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps. It is categorized as a Agent Tool with 197 GitHub stars.

What programming language is langfuse-docs written in?

langfuse-docs is primarily written in MDX. It covers topics such as agent-skills, agents, genai.

How do I install or use langfuse-docs?

You can find installation instructions and usage details in the langfuse-docs GitHub repository at github.com/langfuse/langfuse-docs. The project has 197 stars and 218 forks, indicating an active community.

What license does langfuse-docs use?

langfuse-docs is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to langfuse-docs?

The top alternatives to langfuse-docs on Agent Skills Hub include langfuse-mcp, Observal, Agentic-AI-Systems. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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