Challenges

AI Agents & Automation

Showing 1-30 of 34 challenges

Multi-Agent Collaboration System

Design and implement a multi-agent pipeline consisting of a 'Researcher', 'Writer', and 'Reviewer' that work together to complete the task of generating a high-quality industry report.

AI Agents & Automation1

Jason

Advanced

Autonomous Task Planning Agent

Using LangChain's ReAct (Reasoning + Acting) Agent framework, build an intelligent Agent that can receive high-level goals, autonomously decompose them into subtasks, formulate execution plans, and invoke multiple tools to progressively complete tasks. You will need to equip the Agent with tools such as search, calculation, file read/write, and implement full chain-of-thought tracking and task state management.

AI Agents & Automation4-6 小时1

Jason

Intermediate

Local Knowledge Base Q&A System (RAG)

Build an intelligent Q&A system that supports PDF/text document uploads using LangChain's Document Loaders, text splitters, vector databases, and retrieval chains. Once a user uploads a document, the system can accurately answer questions based on the document's content rather than relying on the model's own training knowledge.

AI Agents & Automation3-4 小时1

Jason

Intermediate

Personal Assistant with Memory

Build a personal assistant with long-term memory using LangChain's Memory module. The assistant should be able to remember the user's name, preferences, and conversation history, and proactively leverage these memories in future interactions to deliver a personalized experience.

AI Agents & Automation3-4 小时1

Jason

Beginner

Equip Your Agent with a "Toolbox"

Integrate multiple external tools — such as a search engine, calculator, and weather lookup — into a LangChain Agent, enabling it to automatically select and invoke the right tool based on user questions. Through this challenge, you'll master how to define, register, and use LangChain tools, ultimately building an intelligent Agent with true "action capabilities".

AI Agents & Automation2-3 小时1

Jason

Beginner

Hello, LangChain! Build Your First Conversational Chatbot

Using LangChain's ChatModel and PromptTemplate, build a command-line chatbot that supports multi-turn conversations from scratch. You'll learn how to combine an LLM, prompt templates, and conversation memory into a complete Chain, gaining a solid understanding of LangChain's core architecture.

AI Agents & Automation2-3 小时1

zyzy191413-cmd

Advanced

使用Openclaw配置你的超级智能体团队 (Fork)

用 AI Agent 重新定义,你的工作方式。 8 个真实用户案例，8 种 AI Agent 配置方案。选择你的角色，跟随配置指南，亲手搭建属于自己的 OpenClaw 自动化工作流。你也可以按照你自己的需求来配置你自己的超级 AI 团队

AI Agents & Automation4-12 小时4

XinMa

Beginner

AI Chat Interface (Fork)

Build a beautiful chat UI for AI conversations with streaming response display, message history, conversation management, code block rendering, and markdown support.

AI Agents & Automation3-5 hours1

Multi-Agent Collaboration System

Autonomous Task Planning Agent

Local Knowledge Base Q&A System (RAG)

Personal Assistant with Memory

Equip Your Agent with a "Toolbox"

Hello, LangChain! Build Your First Conversational Chatbot

使用Openclaw配置你的超级智能体团队 (Fork)

AI Chat Interface (Fork)

使用Openclaw配置你的超级智能体团队

Full AI SaaS Product

AI Agent Marketplace

Fine-Tuning Pipeline

AI Agent Swarm

Multi-Modal AI App

AI Pair Programmer

Autonomous Research Agent

AI Email Assistant

Conversational Search

AI Data Analyst

Code Generation Agent

AI Workflow Builder

Multi-Agent Debate

AI Agent with Tools

RAG Knowledge Base

Voice-to-Text Notes

AI Translation App

Chatbot Builder

AI Summarizer

Sentiment Analyzer

AI Code Reviewer