A MCP Server for a small scale engineering agents with multi-provider LLM support.

This Coding Agent is a multi-LLM engineering crew that plans tasks, writes code, and self-reviews to build polished outputs like the ArXiv CS Daily site—featuring automated paper ingestion, intelligent tagging, UI generation, and full audit logs in one reproducible workflow.

Unofficial, Google‑free reimplementation of MLE‑STAR: a lightweight, local‑friendly multi‑agent ML engineering pipeline that uses OpenAI‑compatible LLMs (OpenRouter/Ollama) and DuckDuckGo search to generate, debug, refine, ensemble, and submit Kaggle‑ready solutions—AutoML for tabular tasks with code generation and iterative refinement.

🎭 MoE Agent: Replace Multi-Agent with single-prompt AI architecture | RAG + SQL + Tool calling without routing | Zero context loss, 10x cost reduction | LLM Prompt engineering for AGI | Production-ready template | Solve ambiguous queries & cross-domain reasoning

A Multi-Agent LLM-based Senior Design Projects Copilot for Engineering and Computer Science Community

Prompt engineering toolkit: version-controlled prompts, AI agent skills manager, sandboxed Claude sessions in git worktrees, multi-provider LLM testing

Pushing general-purpose LLMs to their chess limits — no fine-tuning, no specialized models. Pure prompt engineering, RAG, chain-of-thought, and multi-agent orchestration. A scientific framework for measuring how far inference-time techniques can lift raw LLM chess performance.

This is personal repository for practicing LLM (building agents, including local LLM, Prompt Engineering, RAG, Multi-agent, Chat Environment, ETC).

A multi-agent orchestration framework for structured AI reasoning. Designed as an educational laboratory for experimenting with multi-agent prompt engineering, chain-of-thought reasoning, and LLM orchestration patterns.

Multi-agent prompt engineering platform powered by LangChain & LangGraph. Features 6 LLM providers, real-time SSE streaming, conversation mode, batch processing, quality scoring, and 79 REST APIs. Built with FastAPI + React + TypeScript.

Multi-agent codebase intelligence system for rapid onboarding to brownfield data engineering repos. Builds living knowledge graphs, data lineage, semantic purpose maps, and AI-injectable context (CODEBASE.md). Powered by tree-sitter, sqlglot, NetworkX, LangGraph + LLMs.

Improving Requirements Engineering with RAG-Powered LLMs and Multi-Agent

A paradigm shift in prompt engineering for massive context LLMs (Gemini PRO). Zero-code multi-agent orchestration.

🤖 Framework for building multi-agent workflows using LangGraph. Demonstrates modular prompt engineering, cooperative LLM agents, and function-calling across tasks.

Simulation-driven AI system that analyzes robotic warehouse operations using deterministic engineering metrics and multi-agent LLM reasoning. Rules decide, LLM explains.

Real-Time Intelligent Chat Agent | Spring Boot + WebSocket + LLM Integration | Advanced Prompt Engineering | Multi-Layered Security | AWS Deployment

Tauri 2 desktop app bridging local LLMs (Ollama) with Stable Diffusion (ComfyUI) through a multi-agent prompt engineering pipeline

AI Agent Orchestration Framework Context engineering, multi-agent collaboration, and LLM orchestration made simple. Supports OpenAI, Anthropic, Claude, GPT-4, Gemini, Ollama. Build production-ready agentic AI in minutes. LangChain alternative.

Graph-based multi-agent adaptive learning system that transforms engineering syllabi into Neo4j knowledge graphs and generates personalized learning paths using MSMS pathfinding and LLM-powered diagnosis.

Hands-on collection of Generative AI apps and notebooks using LLMs, LangChain, RAG, vector databases, Hugging Face, NVIDIA NIM, and multi-agent systems—showcasing real-world AI/ML engineering skills.

An LLM-powered multi-agent system for comprehensive review of product launch documents. The system uses specialized AI agents (Product Manager, Data Scientist, and Engineering) to evaluate launch documents from Google Docs and provide detailed scores and recommendations.

A multi-agent system that leverages general-purpose models with minimal prompt engineering to orchestrate debates and form consensus, creating a "meta-agent" evaluator that's dynamic, collaborative, and less prone to the biases of a single LLM judge.

AELVO — A deterministic autonomous agent with hybrid vector-relational memory (ChromaDB + SQLite), YAML anchor constraint enforcement, and a universal multi-provider LLM adapter. Designed for long-horizon engineering tasks requiring persistent cross-session intelligence.

EngiMentor AI is an AI-powered instructor system designed to support college students in learning technical and engineering subjects more effectively. Built using Large Language Models (LLMs) and the LangChain framework, the system follows a multi-agent approach inspired by CAMEL architecture.

A structured 8-part course on building multi-agent AI systems using local LLMs, RAG, orchestration patterns, and production-grade architecture.

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Final project for LLMs Engineering. Multi-agent chatbot

GenAI Engineering project demonstrating multi-agent LLM systems for finance analytics

Adaptive multi-model LLM agent system for software engineering project management