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An Open Source Machine Learning Framework for Everyone
SGLang is a high-performance serving framework for large language models and multimodal models.
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The host/runtime that powers Azure Functions
DAOS Storage Stack (client libraries, storage engine, control plane)
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, vLLM pods
The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Development repository for the Triton language and compiler
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …
Mirror of https://gitlab.redox-os.org/redox-os/redox
An implementation of chunked, compressed, N-dimensional arrays for Python.
💫 Toolkit to help you get started with Spec-Driven Development
Distributed reliable key-value store for the most critical data of a distributed system
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Secure and fast microVMs for serverless computing.
Web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.