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A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks
A beautiful home server OS for self-hosting with an app store. Buy a pre-built Umbrel Home with umbrelOS, or install on a Raspberry Pi or any x86 system.
AI app store powered by 24/7 desktop history. open source | 100% local | dev friendly | 24/7 screen, mic recording
本系统是集工单统计、任务钩子、权限管理、灵活配置流程与模版等等于一身的开源工单系统，当然也可以称之为工作流引擎。 致力于减少跨部门之间的沟通，自动任务的执行，提升工作效率与工作质量，减少不必要的工作量与人为出错率。
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
Single GPU VFIO Passthrough Guide
A modular graph-based Retrieval-Augmented Generation (RAG) system
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation,…
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Distribute and run LLMs with a single file.
Superduper: End-to-end framework for building custom AI applications and agents.
DeepSeek Coder: Let the Code Write Itself
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
💥 Blazing fast terminal file manager written in Rust, based on async I/O.
Linux virtual machines, with a focus on running containers
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)