> Project Note: This project was primarily developed using AI (Cursor AI) with minimal human code intervention. It was created as a self-imposed challenge to evaluate the current capabilities of AI coding assistants. While the AI was able to generate most of the functionality, success required p
> 比 Claude Cowork 更底层、更自主的 AI 智能体系统
🌐 Live Demo: https://assist-frontend-plum.vercel.app
AI-powered contract review copilot built on Streamlit, designed for Alauda's enterprise SaaS/PaaS business. Combines senior legal partner acumen with LLM panoramic reading to seal fatal loopholes in B2B contracts within seconds.
zjwangalauda__Alauda-GROS-Copilot
- 语义检索：基于向量相似度的智能匹配，理解语义关联 - 全文检索：BM25 算法精确匹配关键词，适合查找特定内容 - 混合检索：结合两者优势，可自定义权重平衡（默认语义 0.7 + 全文 0.3）
一个生产级的个人知识库系统，支持语义搜索和基于 LLM 的问答功能。
zaidy7800__langchain-chatbot
> An interactive consulting framework for insurance finance transformations, with AI agents embedded as capabilities.
English | 简体中文
A NotebookLM-style AI research assistant that lets you upload documents and have intelligent conversations with your research materials.
通用的多资料库 RAG (检索增强生成) 训练和部署平台，支持管理多个独立的文档资料库，提供 REST API 和 MCP 接口给 AI Agent 调用。
English | 中文 | 日本語
PDF-based knowledge management system with RAG (Retrieval Augmented Generation). Upload PDFs or Markdown documents, build vector embeddings in Qdrant, and generate custom content (quotes, posts, summaries, insights) using Claude AI with anti-hallucination controls.
> 📚 推荐阅读：如果你关注的是"如何从真实问题到系统设计"，建议先阅读 方法论文档。
输入一个问题，系统自动从远域知识中发现结构同构，生成跨领域创新假说，经多模型验证与风险精炼，输出包含直接答案、可追溯证据和风险边界的完整研究报告。
請確保您已安裝 uv，然後執行：
A fully automated research system for quantitative finance that orchestrates the entire research lifecycle—from literature review to experiment execution to report generation—using a multi-agent collaboration architecture powered by Claude AI.
Using GPT-5 (or Claude 4.5 opus, Gemini 3 pro, Llama 3.2 on Vertex AI), generate a 3D CAD model (STEP file) from a 2D CAD image.
Using GPT-5 (or Claude 4.5 opus, Gemini 3 pro, Llama 3.2 on Vertex AI), generate a 3D CAD model (STEP file) from a 2D CAD image.
Context Manager is an intelligent memory management system designed to solve the context window limitations in large language model (LLM) applications. It treats context as expensive RAM and external data as pageable disk/cache, providing a "memory manager" subsystem for models.
AI Companion for Humanity
AI人狼ゲーム — 1人のプレイヤーが8体のAIと人狼を遊ぶWebアプリケーション。
Obsidian meets Claude Code
An agent that can't do math. A calculator it can call. Word problems it has to solve.
Multi-Agent Technical Advisor powered by LangGraph. Ask technical questions and get comprehensive, research-backed advice from a team of AI agents.
Vijil Dome is a fast, lightweight, and highly configurable library for adding runtime guardrails to your AI agents. It combines top open-source LLM safety tools with proprietary Vijil models to detect and respond to unsafe content — with built-in support for observability, tracing, and popular a
Compliance ANalysis and Automated Regulatory Yield
llm-box brings the power of large language models to your command line. Instead of just listing files, it describes what they do. Instead of dumping file contents, it explains them. Instead of searching by filename, it understands what you're looking for.
Interactive force-directed graph visualization of Brandon Sanderson's Cosmere, built from 16,000+ Words of Brandon Q&A entries from Arcanum.
A modern AI chatbot application built with Streamlit, FastAPI, and LangChain, powered by Ollama for local language model inference.
AI pipeline that scrapes 22+ RSS sources, clusters articles into business trends via Leiden community detection, then runs a LangGraph agent pipeline to find target companies, contacts, and generate outreach emails. Self-learns through 6 feedback loops (Thompson Sampling, EMA drift, weight adaptatio
Official LangChain integration for Ujeebu Extract API - Extract clean, structured content from news articles and blog posts for use with Large Language Models (LLMs) and AI applications.
> roshni (روشنی) — "light" in Urdu
O Banco Ágil é um sistema de atendimento virtual para um banco digital fictício, onde agentes de IA especializados trabalham em conjunto para atender o cliente de forma transparente. O cliente percebe uma conversa fluida com um único atendente — os handoffs entre agentes são invisíveis.
Create an AI clone of yourself from your chat data. Runs 100% local on your machine, powered by OpenClaw.
LangChain-based harness to benchmark memory compaction on long-horizon web QA tasks (e.g., BrowseComp-style questions).
topcuburak__agentic_carbon_characterization
Forging Elite AI Systems
Unified code quality pipeline for AI-assisted development.
AI-powered investment research platform that combines 18 analyst agents for market analysis with automated content generation and optional live trading.
Webapp de consultation des recommandations d'antibioprophylaxie chirurgicale, basée sur les RFE SFAR 2024 (Recommandations Formalisées d'Experts de la Société Française d'Anesthésie et de Réanimation).
Kiro-style Spec Driven Development implementation on AI-DLC (AI Development Life Cycle)
Backend-Service für das Chatbot-System inkl. Chatbot-CRUD, Sitzungs- und Nachrichtenverwaltung, Wissensbasis (Embeddings) sowie Anbindung an LLM/Vektor-Datenbanken.
A hands-on introduction to LangGraph — a framework for building LLM-powered workflows as graphs.
A production-ready Retrieval-Augmented Generation pipeline for answering questions over Kazakh company annual reports written in Russian/Kazakh, featuring complex PDF layouts (financial tables, ESG diagrams, multi-column blocks).
LegacyLens is a production-focused RAG workspace for Fortran/LAPACK code intelligence.
A hands-on 2-hour training lab where students create an LLM-powered F5 technical assistant using RAG (Retrieval-Augmented Generation) and fine-tuning techniques. Transform a general-purpose model (TinyLlama-1.1B) into an F5 domain expert.
Multi-agent RAG system for Type 1 Diabetes management with mandatory safety guardrails and authoritative knowledge grounding.
the-schoolofai__ragchatbot-langchain