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The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…
🚀 List of distributed system projects for inspiration and learning to build distributed services from real world examples
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A high-throughput and memory-efficient inference and serving engine for LLMs
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Neural Networks: Zero to Hero
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative.
A curated list of Rust code and resources.
Scalable datastore for metrics, events, and real-time analytics
Tunnel all your traffic over Websocket or HTTP2 - Bypass firewalls/DPI - Static binary available
Stream your Postgres data anywhere in real-time. Simple Rust building blocks for change data capture (CDC) pipelines.
Rust GUI components for building fantastic cross-platform desktop application by using GPUI.
A Datacenter Scale Distributed Inference Serving Framework
A markup-based typesetting system that is powerful and easy to learn.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Community documentation for the Tekton project
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Model Context Protocol Servers
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Automatic SRE Superpowers within your Kubernetes cluster
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions