Exclusive Knowledge Base for Reducing AI Coding Hallucinations.This project is a community-curated, versioned API documentation knowledge base specifically designed for AI programming tools like Claude Code. It supports on-demand retrieval, local annotation, feedback loops, and other functions, effectively reducing hallucinations in AI-generated code.

AI-Driven Conversational Video Creation Agent.This is an automated video creation agent built on LLM/VLM. Users can describe their intentions in natural language, and the system automatically accomplishes material collection, editing, storyline construction, voiceover, and background music creation. It supports conversational refinement, including cutting, reorganizing, modifying subtitles, etc., and can be saved as a clip skill pack with one click for quick reproduction of videos in the same style

Transforming AI Coding Assistants into Virtual Development Teams.This is a set of Skills to enhance the development capabilities of AI coding assistants, enabling AI to simulate the questioning methods of YC partners and roles like CEO, architect, designer, and tester, transforming Claude Code into a virtual development team that can be called upon as needed

You Website's AI Operator.This is an embedded page-based GUI Agent designed specifically for web developers. Unlike traditional browser automation tools, it needs to be integrated into a website via code, and after integration, users can interact with the page using natural language

Python Framework for Rapid Construction of Production-Level Agents.This is a Python framework for developing AI agent applications. It can realize the construction from model capabilities, tool invocation to autonomous workflows through simple code, and supports multiple models, Agent Loop, multi-agent collaboration, voice conversation and other functions

Intelligent Stock Analysis System Based on LLM.This is an LLM-driven intelligent stock analysis tool that supports daily automatic analysis and push for A-shares, Hong Kong stocks, and US stocks. It obtains real-time market data from data sources like AkShare, Tushare, and YFinance, and uses large model API services such as DeepSeek to conduct multi-dimensional analysis (technical aspects, position distribution, public sentiment) on selected stocks, generating decision-making dashboards. It supports scheduled execution via GitHub Actions (no server required) or one-click deployment via Docker.

Building an AI Agent from Scratch.This project demonstrates how to construct an AI Agent tool similar to Claude Code from the ground up, consisting of 12 lessons. Each lesson comes with a runnable Python file. The content progresses from the most fundamental Agent loop, incrementally incorporating functions like tool invocation, task planning, sub-agents, context compression, multi-agent collaboration, and autonomous execution, ultimately building a comprehensive AI Agent system.

def agent_loop(messages):
    while True:
        response = client.messages.create(
            model=MODEL, system=SYSTEM,
            messages=messages, tools=TOOLS,
        )
        messages.append({"role": "assistant",
                         "content": response.content})

        if response.stop_reason != "tool_use":
            return

        results = []
        for block in response.content:
            if block.type == "tool_use":
                output = TOOL_HANDLERS[block.name](**block.input)
                results.append({
                    "type": "tool_result",
                    "tool_use_id": block.id,
                    "content": output,
                })
        messages.append({"role": "user", "content": results})

Implementing Modern Mainstream AI Algorithms in Zero-Dependency Single File.This is a teaching project designed specifically for learning AI algorithms, including 30 zero-dependency, single-file, directly runnable Python implementations covering from basic GPT to fine-tuning (LoRA, PPO) and inference optimization (Flash Attention), etc. Each algorithm is implemented with easy-to-understand code, accompanied by corresponding Manim animations for easy comprehension and learning.

Phenomenal Personal AI Assistant.This is an open-source personal AI assistant developed with TypeScript, which can be quickly deployed on macOS, Windows, and Linux systems, and supports interaction through instant messaging apps like WhatsApp, Telegram, and Slack. As long as your token quota is sufficient, it can work continuously 24/7 to serve you

Minimalist AI Agent Toolkit.This is a TypeScript-based AI Agent toolkit. The popular OpenClaw is developed based on this project. It provides fundamental functions for AI Agent development, including unified multi-LLM service interfaces, Agent state management, tool invocation, interactive command-line interface, WebUI, and Slack bot integration, etc.