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

This project focuses on building a specialized Question-Answering model for Indian Corporate Law. It involves generating a synthetic dataset using a powerful LLM based on legal texts. A small langu…

Examples and guides for using the OpenAI API

Bring your code to the conversations you care about with GitHub's integration for Slack

Set up the AdventureWorks sample database for use with Postgres

Deepagents is an agent harness built on langchain and langgraph. Deep agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped …

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to con…

Claude Memory MCP Visualizer

sharing current agents in use

Make text LLMs listen and speak

A high-throughput and memory-efficient inference and serving engine for LLMs

An open protocol enabling communication and interoperability between opaque agentic applications.

Application that organizes existing AI courses by category and difficulty.

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

An open-source AI agent that brings the power of Gemini directly into your terminal.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

PandaAGI provides a simple, intuitive API for building general AI agents in just a few lines of code

A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.

Agent S: an open agentic framework that uses computers like a human

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

mcp-use is the easiest way to interact with mcp servers with custom agents

Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

MCP server to provide Figma layout information to AI coding agents like Cursor