MS-Agent: a lightweight framework to empower agentic execution of complex tasks
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Updated
Mar 24, 2026 - Python
MS-Agent: a lightweight framework to empower agentic execution of complex tasks
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.
Self-hosted RAG engine for AI coding assistants. Ingests technical docs & code repositories locally with structure-aware chunking. Serves grounded context via MCP to prevent hallucinations in software development workflows.
Official repository for Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents
The official repository for the capstone project UpSpace: A Marketplace and Management Platform for Coworking Spaces.
Agentic Search, search intelligently
ChatGPT Wrapped creation: Data Science grade
A Benchmark for Evaluating Agentic Search and Deep Research Discovery, Completeness, and Traversal Depth
Dockerized multi-agent research workspace with Fast/Deep search, SearXNG, and MCP tools.
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 example MCP server in Python demonstrating minimum agentic search elements
A verifiers RLM environment for testing whether adaptive recursive search outperforms brittle manual RAG choreography on long synthetic corpora.
LLM-LD: Machine-Readable Discovery Protocol for AI Agents — The open standard for making websites AI-agent accessible
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.
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