🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

A playground of highly experimental prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Alex Bilzerian (2022-2025).

A useful plugin for the ChatGPT web platform, focusing on long conversation browsing, exporting, searching, prompt management, and timeline navigation. 🚀||优化ChatGPT长会话卡顿，聊天记录一键导出，消息搜索跳转，会话管理，prompt管理和时间线导航

Turn AI conversations into organized, reusable workflows — across major AI platforms. | 把 AI 对话转化为可组织、可复用的工作流，适用于主流 AI 平台

Markdown for the AI era

Prompt & Conversation Management Middleware for Conversational AI APIs such as OpenAI ChatGPT, Facebook Hugging Face, Anthropic Claude, Google Gemini, Ollama and Jlama. Lean, restful, scalable, and cloud-native. Developed in Java, powered by Quarkus, provided with Docker, and orchestrated with Kubernetes or Openshift.

Open-source versioning, tracing, and annotation tooling.

An Automated AI-Powered Prompt Optimization Framework

🪢 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.

MCP prompt template server: hot-reload, thinking frameworks, quality gates

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.

Open Source LLM proxy that transparently captures and logs all interactions with LLM API

提示词分支、版本式管理工具 | Prompt branching and version management tool

These guides are designed to help teams and individuals leverage AI tools like GitHub Copilot, OpenAI, and Claude to build software projects efficiently and effectively

VS Code extension for managing, sharing, and installing AI prompt collections for GitHub Copilot and other AI assistants