Github Imports
Browse 200 Hugging Bay artifacts for Github Imports, including 0 Hugging Face imports and 0 hosted files.
- affaan-m/ecc The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
- nousresearch/hermes-agent The agent that grows with you
- ollama/ollama Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
- huggingface/transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- snailclimb/javaguide Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
- firecrawl/firecrawl The API to search, scrape, and interact with the web at scale. 🔥
- langchain-ai/langchain The agent engineering platform.
- shubhamsaboo/awesome-llm-apps 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
- farion1231/cc-switch A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI & Hermes Agent. Only official website: ccswitch.io
- browser-use/browser-use 🌐 Make websites accessible for AI agents. Automate tasks online with ease.
- punkpeye/awesome-mcp-servers A collection of MCP servers.
- tauricresearch/tradingagents TradingAgents: Multi-Agents LLM Financial Trading Framework
- thedotmack/claude-mem Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, C
- vllm-project/vllm A high-throughput and memory-efficient inference and serving engine for LLMs
- paddlepaddle/paddleocr Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
- infiniflow/ragflow RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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