The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture

Find zero-days while you sleep. DeepZero is an automated vulnerability research framework that parses, decompiles, and analyzes thousands of Windows kernel drivers for exploitable IOCTLs natively using AI agents.

Hands-on crash course for Claude Code with branch-based projects on MCP, subagents, hooks, and automation.

Creating 'deep agents' to encourage LLM's to complete long horizon tasks.

Deep Competitive Analyst is a 'deep agent' style LLM assistant built to automate the creation of company profiles and competitive analyses

Stop building AI agents from scratch. Bootstrap starter Agent app with LangGraph, CopilotKit, and beautiful Generative UIs.

deepagents-showcase is a hands-on project demonstrating how to build hierarchical, multi-step AI systems using LangChain’s Deep Agents. It showcases task decomposition, planning, sub-agent delegation, and long-running workflows in a practical, real-world setup.

A demonstration of with a DeepAgent that generates CSV and PDF reports in custom React components.

Experimental AI system for financial applications

A structured integration layer around LangChain's Deep Agents

A starting point for building custom agentic LLM applications using Open Source tooling and models. Incorporates Ollama, Open WebUI, Langchain, Streamlit, Chroma, & PGVector using Docker and Docker Compose and optionally Codespaces.

Benchmarking llm agents for local usage

Deep Agent: lightweight Python framework for automating complex tasks.

An Azure blob storage backend for LangChain Deep Agents

A deepagent-based coding assistant

A deep agent that reads research papers, extracts algorithms, and generates working implementations.

[IJCAI'26] Visualizing Deep Agents in Long-Horizon Tasks: Towards Explainable and Trustworthy Agentic AI

Intelligent smart-home assistant powered by LangChain + Gemini, with live Home Assistant awareness, learnable skills, proactive automations, and a modern dashboard UI.

Deep Agentsライブラリのアーキテクチャを活用した、ハーネス構成のRAGシステムです。複数のエージェントが協調動作し、質問の粒度に応じて最適なRAGシステム（Naive RAG / ColBERT RAG）を自動選択します。

CT-Toolkit Integration & Validation Test Suite for LangChain/Deep Agents