Stars
Build resilient language agents as graphs.
🦜🔗 Build context-aware reasoning applications 🦜🔗
🦜🔗 Build context-aware reasoning applications
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with …
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
A script to backport openssh rpm package from upstream.
Call all Node.js modules directly from DOM/WebWorker and enable a new way of writing applications with all Web technologies.
A complete tool for building and publishing Electron applications
Create DMG installers for your electron apps using appdmg.
Customize and package your Electron app with OS-specific bundles (.app, .exe, etc.) via JS or CLI
Simple data persistence for your Electron app or module - Save and load user preferences, app state, cache, etc
High performance HTTP and reverse proxy server based on Node.js. 基于 Node.js 的高性能 HTTP 及反向代理服务器，类似nginx。
Container Object Storage Interface (COSI) controller responsible to manage lifecycle of COSI objects. NOTE: The content of this repo has been moved to https://github.com/kubernetes-sigs/container-o…
Container Object Storage Interface (COSI) API responsible to define API for COSI objects. NOTE: The content of this repo has been moved to https://github.com/kubernetes-sigs/container-object-storag…
个人从网上搜集的体积较小的字库，适用于大量显示汉字而存储资源又紧张的场合(全字库可以控制在2M以内)
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Documentation for Docker Official Images in docker-library