Lists (5)
Stars
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.
蓝海 AIoT 实测复现包：两组 B 端场景的事件数据集、推送脚本和 Skill
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing…
The agent that grows with you
An agentic skills framework & software development methodology that works.
Spec-driven development (SDD) for AI coding assistants.
AI agents running research on single-GPU nanochat training automatically
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
Lightweight, open-source AI agent for your tools, chats, and workflows.
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
A community collection of OpenClaw use cases for making life easier.
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs dir…
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Specification and documentation for Agent Skills
🔥 🔥 🔥 A Free & Self-hostable Airtable Alternative
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
PandaWiki 是一款 AI 大模型驱动的开源知识库搭建系统，帮助你快速构建智能化的 产品文档、技术文档、FAQ、博客系统，借助大模型的力量为你提供 AI 创作、AI 问答、AI 搜索等能力。
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
SoulX-Podcast is an inference codebase by the Soul AI team for generating high-fidelity podcasts from text.
Supercharge Your LLM Application Evaluations 🚀
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
all of the workflows of n8n i could find (also from the site itself)
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?