MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration in Complex Task Scenarios

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

Official repository for Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents

Agentic Search, search intelligently

A Benchmark for Evaluating Agentic Search and Deep Research Discovery, Completeness, and Traversal Depth

Post-RAG era Agentic Search Framework — Context-Rich, Index-Free

A example MCP server in Python demonstrating minimum agentic search elements

Become an expert in constructing and refining AI agents. Explore how to create flow-driven applications, employ agentic search methods, and integrate human-in-the-loop systems using the robust components of LangGraph.

A candidate retrieval system using FAISS over AI-embedded resume data and hard and soft criteria filtering. Outputs results in eval-ready format for private scoring.