No fortress, purely open ground. OpenManus is Coming.

GenAI Agent Framework, the Pydantic way

Prompt-To-Agent : Create custom engineering agents for your codebase

An open-source template that enables natural language querying and real-time data visualization for structured dataset.

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

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

AI Observability & Evaluation

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

LLM abstractions that aren't obstructions

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Open-source KVM software

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

A programming framework for agentic AI

AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

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

A sleek plug n play react landing page template.

The first real AI developer

Learn how to design large scale systems. Prep for the system design interview.

Build, evaluate and observe LLM apps

AdalFlow: The library to build & auto-optimize LLM applications.

Toolkit for attaching, training, saving and loading of new heads for transformer models

real time face swap and one-click video deepfake with only a single image

Retrieval and Retrieval-augmented LLMs

Official inference repo for FLUX.1 models

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

A continuously updated collection of CodeLLM papers maintained by PurCL group @ Purdue

InstructLab Core package. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.