Context Data Platform for Self-learning Agents. One Place for Agents to Store, Observe, and Learn. Designed to simplify context engineering, improve agent reliability and task success rates.

Standards for building agents, better

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

dLLM: Simple Diffusion Language Modeling

DeepTeam is a framework to red team LLMs and LLM systems.

ToolHive makes deploying MCP servers easy, secure and fun

RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

Visual Data Preparation and Transformation. Low-Code Python-based ETL.

Open-source foundation of the user-sponsored PyMOL molecular visualization system.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…

Introduction to Machine Learning Systems

Qdrant Context Engine

🔥 Visual workflow builder for AI agents powered by Firecrawl - drag-and-drop web scraping pipelines with real-time execution

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

A curated list of useful resources that cover Offensive AI.

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

Automatic Video Generation from Scientific Papers

The quantum analogue of OpenAI's "gym" python framework

Airweave lets agents search any app

LLM agents built for control. Designed for real-world use. Deployed in minutes.

A comprehensive book on neural networks and large language models in NLP

A lightweight framework for building Physics-Informed Neural Networks (PINNs) with symbolic PDE definitions using SymPy and automatic differentiation in PyTorch. It provides flexible neural archite…

Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent systems.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).