👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone

Turn any collection of documents into a knowledge graph. Extract entities and relationships via LLM, deduplicate with your approval, and explore the result in your browser — all from the CLI.

"🐈 nanobot: The Ultra-Lightweight OpenClaw"

A middleware that eliminates the need to manually build XML and lets developers work with AFIP/ARCA as if it were a REST API.

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!

Repo for "Adaptation of Agentic AI"

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

If you're coming from one of my data science tutorials, you'll find the code and the links to the tutorials here. I hope you find them helpful. Happy learning and coding!

A tiny CPU simulator written in Python

Full stack web framework

Hypermedia web development framework that brings the Next.js developer experience to Python, built on FastAPI.

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Tongyi Deep Research, the Leading Open-source Deep Research Agent

XLeRobot: Practical Dual-Arm Mobile Home Robot for $660

A simple yet powerful agent framework that delivers with open-source models

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

💫 Toolkit to help you get started with Spec-Driven Development

Get your documents ready for gen AI

A lightweight TUI application to view and query tabular data files, such as CSV, TSV, and parquet.

Codes/Notebooks for AI Projects

Scalable Machine Learning and Deep Learning, Final Project, 2023/2024

Python for Finance Cookbook, published by Packt

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning

Flet sample applications

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

Build effective agents using Model Context Protocol and simple workflow patterns

"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features