A lightweight, powerful framework for multi-agent workflows

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

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

A lightweight data processing framework built on DuckDB and 3FS.

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

A list of AI memory projects

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Building blocks for foundation models.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

RAG that intelligently adapts to your use case, data, and queries

OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A generative world for general-purpose robotics & embodied AI learning.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.

Software Design by Example: a tool-based introduction with Python

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

A course on aligning smol models.

Building AI agents, atomically

AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ

A repository for building local spark cluster.

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

Let your Claude able to think

Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.

Get your documents ready for gen AI

An Awesome list of curated DSPy resources.

data-to-paper: Backward-traceable AI-driven scientific research

System design patterns for machine learning

Baum-Welch for all kind of Markov models

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.