Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating…

A simple screen parsing tool towards pure vision based GUI agent

Public repo for HF blog posts

Composable building blocks to build Llama Apps

How to build a Multi-Agentic Systems for RAG using LangGraph - Full project

Control GenAI interactions with power, precision, and consistency using Conversation Modeling paradigms

Code repository for the paper on "Predicting the Performance of Black-Box LLMs through Self-Queries".

A collection of LlamaIndex Workflows-powered agents that convert natural language to Cypher queries designed to retrieve information from a Neo4j database to answer the question with included bench…

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Official inference framework for 1-bit LLMs

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

open-source framework for creating and managing simulations populated with AI-powered agents. It provides an intuitive platform for designing complex, interactive environments where agents can act,…

🤗 smolagents: a barebones library for agents that think in python code.

An extremely fast Python package and project manager, written in Rust.

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

Python tool for converting files and office documents to Markdown.

Build resilient language agents as graphs.

File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

Simple, unified interface to multiple Generative AI providers

Get your documents ready for gen AI

Document to Markdown OCR library with Llama 3.2 vision

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

RAG (Retrieval-Augmented Generation) Chatbot Examples Using PyMuPDF

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Latitude is the open-source prompt engineering platform to build, evaluate, and refine your prompts with AI

Retrieval and Retrieval-augmented LLMs

Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Build Real-Time Knowledge Graphs for AI Agents