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Hand-picked AI open-source projects on GitHub worth following: LLMs, agents, RAG, local deployment, image and speech… 1047 projects so far.

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All 1047🧠 Large Language Models 26🤖 AI Agents 164🧩 App Development Platforms 23📚 RAG & Knowledge Bases 46💬 Chat UIs & Clients 41🖥️ Local Inference & Deployment 87👨‍💻 AI Coding 99🛠️ Frameworks & SDKs 47🔌 MCP & Tool Ecosystem 34🎨 Image Generation 25🎬 Video Generation 17🎙️ Speech & Audio 44👁️ Computer Vision 28📄 Document Parsing & Scraping 24🗄️ Vector Databases 25🏋️ Training, Fine-Tuning & MLOps 75🧪 Evaluation, Observability & Safety 81🚪 API Gateways & Proxies 12🔎 Search & Deep Research 15⚙️ Deep Learning Libraries 56🏷️ Data & Annotation 31🔬 Industry & Science AI 34⚡ Productivity Tools 13
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An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety

🛠️ Frameworks & SDKsJupyter Notebook★ 2.8k

법제처 국가법령정보를 LLM에서 바로 조회하는 MCP 서버. 법령·판례·조례 검색과 인용 검증 | MCP server for Korean law — search statutes, precedents, and ordinances, and verify citations

🔬 Industry & Science AITypeScript★ 2.8k

Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely.

💬 Chat UIs & ClientsTypeScriptDeepSeekLlama★ 2.7k

Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

모두 파싱해버리겠다 — HWP·HWPX·PDF·Office 문서를 Markdown으로. 양식 자동 채우기와 신구대조를 갖춘 CLI·MCP 서버 | Convert Korean documents (HWP, HWPX, PDF, Office) to Markdown — CLI and MCP server with form filling and diff

📄 Document Parsing & ScrapingTypeScriptLLMMCP★ 2.7k

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Apache Ossie, industry wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for semantic data