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Starred repositories
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Model Context Protocol Servers
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI
AI SYSTEMS TRANSPARENCY FOR ALL! - LEAKED SYSTEM PROMPTS FOR CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, WINDSURF, DEVIN, REPLIT, AND MORE!
A high-throughput and memory-efficient inference and serving engine for LLMs
CLI for building apps using Cloud Native Buildpacks
An open protocol enabling communication and interoperability between opaque agentic applications.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Build resilient language agents as graphs.
An open-source visual programming environment for battle-testing prompts to LLMs.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
🦜🔗 Build context-aware reasoning applications
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message sea…
A Python package that makes it easy for developers to create AI apps powered by various AI providers.
Implementing the 4 agentic patterns from scratch
Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the machine learning model lifecycle from training, to packaging, to…
P2P Docker registry capable of distributing TBs of data in seconds
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
A library for efficient similarity search and clustering of dense vectors.
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
DSPy: The framework for programming—not prompting—language models
A curated list for awesome cloud native tools, software and tutorials.