⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com

AI agent whose purpose is to conduct vulnerability tests on LLMs from SAP AI Core or from local deployments, or models from HuggingFace. The goal of this project is to identify and correct any potential security vulnerabilities.

A minimal LLM sales agent framework for sales agent fast deployment and benchmark. Support OpenAI models, Claude, HuggingFace models, Gemini, Ernie(文心一言4.0), Baichuan(百川), Qwen(通义千问), Moonshot(月之暗面), GLM(智谱), Deepseek. AI销售智能体微型框架.

A Kotlin-first LLM toolkit offering unified API for AI models (OpenAI, HuggingFace, DeepSeek, custom) and modular data storage. Features agent-enabled architecture with async RAG capabilities and zero boilerplate.

AI-powered(Lovable clone) React app builder using natural language. Multi-agent system with LangGraph orchestrates code generation in isolated E2B sandboxes. FastAPI backend with WebSocket streaming, Next.js frontend, PostgreSQL storage. Supports OpenAI, Google Gemini, Anthropic & HuggingFace LLMs.

A modern, extensible framework for orchestrating AI agents and environments on Kubernetes/Argo Workflows, inspired by HuggingFace Transformers.

Agent | LLM | Generative AI | Python | RAG | Google Gemini | OpenAI | HuggingFace | LlamaIndex | FastAPI

Repository to contain all exercises of Huggingface's AI agent course but with Google's Gemini model where you will get enough API requests limits to complete exercises

🤖 AI Agent for answering GAIA Benchmark questions (Final Assignment of HuggingFace 🤗 Agents Course)

Open-source multi-agent AI debate arena: pit Claude, GPT, Gemini, Ollama & HuggingFace models against each other with frozen-context fairness, evidence-first judging, 20+ personas, code review, and PDF/Markdown reports. CLI + Web UI.

A comprehensive implementation of the HuggingFace and Langchain-academy Agentic AI course. Explore LLM-powered agents using transformers-agents, custom tools, multi-step reasoning, and real-world deployment workflows across Hugging Face's agent framework and inference APIs.

Generative-AI-with-Langchain-and-Huggingface explores cutting-edge generative AI concepts. Topics include LangChain basics, ChromaDB, conversational memory, vector databases, document Q&A with RAG, text summarization (refine chains, YT/video summarization), building LLMs, search engines, and advanced tools/agents.

Self-correcting AI agent for natural language to SQL using HuggingFace smolagents and ReAct framework

101 curated Agent Skills for Claude Code, GitHub Copilot, Cursor, and Gemini CLI. Covers React/Next.js, Postgres, HuggingFace ML, AI research engineering (vLLM, DeepSpeed, LangChain, RAG, fine-tuning) and dev.to blog writing.

Code Agents with the HuggingFace Smolagents AI Agent Framework

Mixed-reality CV AI agents for solopreneurs, powered by HuggingFace Vision + OpenAI SDK.

A powerful AI agent that generates hilarious memes using open source HuggingFace models.

This is dedicated to Langchain framewrok and to build an agentic AI application with the help of Langchain & Huggingface

Multi-Model AI Agent — Generate, enhance, and convert text into audio/video using GPT-4, Claude, Gemini, HuggingFace, ElevenLabs, and D-ID. Modern UI with Streamlit.

The Multi-Agent Orchestration Framework (MAOF) is a unified architecture for integrating, managing, and orchestrating multiple AI agents from various providers including OpenAI, Anthropic Claude, Google Gemini, Cursor, DeepSeek, HuggingFace, and other platforms.

Hi i'm Bhavjeet singh |🎓 IIT Madras | 🤖 GenAI & Agentic Systems Building RAG pipelines, LangChain agents, and scalable AI tools. Projects: PDF comparison portal, Huggingface chatbot, LangGraph workflows. 📌 Aiming for GenAI internships

Dynamic Few-Shot Prompting for Customer Support AI Agents A practical implementation of dynamic few-shot prompting using LangChain and HuggingFace models. This repository provides an optimized approach to improving AI agent performance for customer support tasks by selecting relevant examples based on user queries, thus enhancing response accuracy

A Retrieval-Augmented Generation (RAG)-based AI agent for call centers with speech-to-speech interaction using Whisper, FAISS, HuggingFace LLMs, and Coqui TTS. The system enables users to speak naturally and receive context-aware voice responses grounded in custom knowledge bases.

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Final Project for HuggingFace AI Agents Course

Code Crafter is an intelligent system that combines two AI agents to analyze and solve Data Structures and Algorithms (DSA) problems. Agent 1 (HuggingFace) performs problem analysis, while Agent 2 (OpenAI) generates optimized solutions.

Build an Catering Service AI agent assistant using Gemini LLM model and Smolagent HuggingFace Library

Agentic AI Final assignment for the HuggingFace AI Agents Course. Passes the GAIA Level 1 Benchmark at 70%.