Open source AI engineering platform. Debug, analyze and iterate together.
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Langfuse maintains a significant public presence on GitHub, showcasing a wide range of repositories primarily focused on TypeScript, Python, and HCL. Notable projects include the Langfuse open source AI engineering platform and related SDKs, which facilitate observability and prompt management for LLM applications.
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
🪢 Langfuse Python SDK - Instrument your LLM app with decorators or low-level SDK and get detailed tracing/observability. Works with any LLM or framework
Community-maintained Kubernetes config and Helm chart for Langfuse
🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
Agent Skills for Langfuse, the open source LLM engineering platform for tracing, prompt management, and evaluation
🪢 Langfuse JS/TS SDKs - Instrument your LLM app and get detailed tracing/observability. Works with any LLM or framework
Modular, open source LLMOps stack that separates concerns: LiteLLM unifies LLM APIs, manages routing and cost controls, and ensures high-availability, while Langfuse focuses on detailed observability, prompt versioning, and performance evaluations.
🪢 Auto-generated Java Client for Langfuse API
🪢 Terraform module to deploy Langfuse on AWS
use the langfuse API from your CLI
🪢 Terraform module to deploy Langfuse on Azure
🪢 Terraform module to deploy Langfuse on GCP
Examples on how to deploy and use Langfuse
n8n.io node for Langfuse (Prompt Management)
[Beta] Community-maintained Terraform Provider for Langfuse
End-to-end Langfuse workshop using a TypeScript Agent to teach the AI engineering loop: tracing, prompt management, monitoring, datasets, experiments, and evaluation.
Run your Langfuse experiment with your GitHub action workflow.
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OpenAI Codex plugin that traces agent turns, tool calls, and subagents to Langfuse.
The Langfuse Observability Plugin for the Claude Code Marketplace
A Langfuse integration for Openclaw to trace your conversations cleanly
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Standalone Next.js site for Langfuse MCP servers. The app introspects configured MCP servers at build time, writes static JSON and Markdown artifacts, and renders the same generated snapshot in the browser.
Langfuse builds a variety of open source projects on GitHub, with a focus on AI engineering. Key repositories include the Langfuse platform for LLM evaluation and tools for detailed tracing and observability.
Langfuse primarily uses TypeScript and Python, along with HCL, JavaScript, Go Template, and MDX. This diverse set of languages supports their extensive range of open source projects.
Yes, all of langfuse's repositories on GitHub are public. This transparency allows the community to contribute to and utilize their AI engineering tools and SDKs.
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