Stars
A vector index built on TurboQuant, written in Rust with Python bindings
AI-powered interactive 3D model generation, inspection, and presentation studio.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Browser Harness | Self-healing harness that enables LLMs to complete any task.
The fastest and the most accurate file search toolkit for AI agents, Neovim, Rust, C, and NodeJS
Visual testing tool for MCP servers
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
An agent using Langgraph and Agent Inbox to close stale issues
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Jupyter notebooks that demonstrate vector search, hybrid search, image search, RAG, and evaluation, all with Azure AI Search.
Header-only C++/python library for fast approximate nearest neighbors
Crypto-native AI agent. OpenClaw for crypto — 48 tools, 118 commands, 7 channels.
The best-benchmarked open-source AI memory system. And it's free.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, …
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Integrate cutting-edge LLM technology quickly and easily into your apps
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...