Stars
Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity
💫 Toolkit to help you get started with Spec-Driven Development
A collection of examples that show how to use CrewAI framework to automate workflows.
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
A curated list of Model Context Protocol (MCP) servers
An example AWS RAG application using Bedrock embeddings and LLMs
arkaine is AI for makers - a framework for small composable agents
AI Agent Framework, the Pydantic way
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.5, DeepSeek, gpt-oss locally.
Effortlessly extract information from unstructured data with this library, utilizing advanced AI techniques. Compose AI in customizable pipelines and diverse sources for your projects.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
🔥 The Web Data API for AI - Power AI agents with clean web data
An autonomous agent that conducts deep research on any data using any LLM providers
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Superpipe - optimized LLM pipelines for structured data
A financial agent, built entirely with LangChain!
Experiments with representation engineering and control vectors
Various examples on how to use Hamming for evals + observability
DSPy: The framework for programming—not prompting—language models
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database