Second Brain AI Assistant Course alternatives for AI agents.

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Community maintained hardware plugin for vLLM on Ascend

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

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

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Build, Manage and Deploy AI/ML Systems

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

⚙️🦀 Build modular and scalable LLM Applications in Rust

AI Observability & Evaluation

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

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

🐢 Open-Source Evaluation & Testing library for LLM Agents