GitHub agents

Track anything in streaming with Grounding DINO, SAM 2, and LLM

AI-Agent with RL capabilites in a Minecraft world

Task Manager MCP Server

A curated library of production-ready skills and tools designed to supercharge ClaudeCode, AntiGravity, Cline, RooCode and other agentic IDE extensions.

we're addicted to solve some real issues ~ Team ComputeXor

LangGraph Memory Chatbot — Persistent Conversational AI with LangChain + FastAPI + Streamlit

A strict, deterministic LLM protocol for loading, reading and activating the DCQN.MATRIX Axiomatics from the OSF DOI (10.17605/OSF.IO/QWA6S), including anti-simulation safeguards and full formal reconstruction into DCQN_LOGIK_SESSION_V1.

LLM-powered OSINT agent that discovers validator infrastructure beyond on-chain data. Sui, Solana, and more.

Generate solution architecture diagrams

The ultimate native macOS AI Agent. Blends local MLX SLMs with 3D cognitive Metal rendering and autonomous system integrations.

Master Thesis Project about Agent and Multi-Agent Teaching Systems combined with Personal Memory

🗺️ MRRA: A Mobility Retrieve-and-Reflect Agent for Mobility Prediction.

HAcoBot is an AI Comand Bot for HA that handles dashboard cards, automations, blueprints, scenes, scripts and system stuff via (voice)chat

This repository hosts a Jupyter notebook that demonstrates the seamless integration of the Bard API with the LangChain library. By leveraging the capabilities of both platforms, we've crafted a custom Language Learning Model (LLM) that allows users to harness the power of Bard within the LangChain ecosystem.

Controllable and Transparent LLM Application Framework

🌳 Autonomous continuous learning framework for OpenClaw AI agents - Run 59 exploration rounds overnight

Run Ollama models on Google Colab

This package is a super handy JSON Schema Mapper for the LLM Agents project.

OpenAI API client for LLM Agents

context handover with increased security, brain child of RELAY_context

Runtime for agents operating on Canopy: wake on real work, route addressed coordination, and leave evidence.

The definitive CLI for validating A2A (Agent-to-Agent) protocol agent cards. Validates cryptographic trust, schema compliance, and live endpoint functionality.

Learn API schemas from live traffic and generate OpenAPI specs. Analyze MCP/JSON-RPC agent sessions for wasted calls. Zero-infrastructure local reverse proxy.

ML/AI curriculum from first principles. Math, from-scratch implementations, papers, exercises, and interview prep across 60 files.

🎨 Create stunning product marketing visuals and content effortlessly with our multi-agent system using the Swarms framework.

Use an LLM agent to automate ordering food and other items from Deliveroo, Uber Eats, DoorDash, etc.

🚀 AlphaCrew: Production-grade multi-agent hedge fund platform powered by CrewAI Enterprise. Features live trading via Alpaca, real-time performance monitoring with Grafana, and human oversight through Slack. Built for sophisticated algorithmic trading and portfolio management.

Large Language Model (LLM) chatbot with a custom knowledge base

A template of AI Chatbot built with Pinecone, LangChain, HarperDB and Next.js, deployed to Vercel.

Infinite power but in a pendrive

Enhancing Text Retrieval with Metadata Filters using MongoDB and LangChain Agent

zmongo_toolbag contains an easy to use MongoDB wrapper with a Langchain Vector Search Retriever implementation

RAG with Redis. Parallel implementations with/without guardrails.

Summarizer is a command-line tool that generates comprehensive summaries of articles and other text-based content.

AI-powered medical chatbot capable of providing symptom-based advice, recommending doctors, and retrieving medical documents.

Integrate any AI agents with Solana-based protocols. (https://github.com/PingAIFun/ping-mcp)

Local-first RAG engine with cited answers from your own docs. GraphRAG, sealed sharing, MCP-native, VS Code Copilot integration. Nothing leaves your machine.

Semantic Search on Langchain Github Issues with Weaviate

Alpaca, Bloom, DeciLM, Falcon, Vicuna, Llama2, Zephyr, Mistral(MoE), RAG, Reranking, Langchain, Langsmith..

A powerful AI chatbot built with Streamlit and Groq API that combines text-based interaction, document processing, and vector search capabilities. Features include multi-format document handling (PDF, PPT, Excel) and intelligent model selection.

Text Correction Application with LangChain, LangGraph, and LLM

It is a sophisticated agent designed to meet a wide range of user needs through advanced language understanding and decision-making capabilities. Powered by Google's LLM Gemini-Pro,, this agent integrates a suite of special tools to facilitate searches across various platforms including DuckDuckGo, Wikipedia, Google Scholar and Arxiv.

Learn GenAI by integrating OpenAI GPT, Google Gemini, Ollama and HuggingFace models using LangChain, LlamaIndex and Pinecone.

(Developing) A realistic anime waifu chatbot based on Google Gemini and Langchain library.

An AI-powered code reviewer supporting multiple programming languages, including: Python, JavaScript, Ruby, Java, SQL

LangChain agent with ollama for QA your papers

Langchain agent that generates and executes Python code to interact with Airtable using the MCP code execution pattern from [Anthropic's blog](https://www.anthropic.com/engineering/code-execution-with-mcp).

LangGraph-powered conversational AI assistant — multi-turn memory, OpenRouter API, tool calling, OOP architecture. Live on Render.

The bridge between AI and your UI. Type-safe AI tool definitions with RBAC, approvals, PII protection, and UI action dispatch.

🎓 AI-powered student productivity suite: convert docs to notes, manage timetables & todos, and chat with Isabella AI using a RAG-powered knowledge assistant. FastAPI + React + MongoDB + Gemini/LongCat/GPT/Microsoft/Mistral models.

A local multi-agent RAG system where four LangGraph agents (Planner → Retriever → Critic → Synthesizer) collaborate to answer research questions from academic PDFs, with real benchmark results: 87% RAGAS faithfulness, 22pp hallucination reduction via LLM-as-judge, and 0% failure rate under Locust load testing.

This is a Streamlit app that leverages LangChain, a language processing toolchain, to generate responses based on user prompts and perform document similarity searches using Chroma.

Privacy-first local RAG app — chat with your PDFs using Ollama (llama3) + LangChain + ChromaDB + Streamlit. 100% offline, no API key needed.

This project is an AI-powered cold email generator designed to craft personalized and professional email templates for outreach. Built with advanced natural language processing (NLP) models, it enables users to input key details and generate tailored emails for various use cases, such as sales, networking, or recruitment.

Mission control for AI agents

Local AI coder agent in langgraph. like lovable but works locally.

PickSmart AI-powered shopping assistant platform for personalized product recommendations implemented by Groq API, Tavily, Langchain, and Langgraph

AI chat tool for creating a person and chat with it.

Document understanding with GPT 3.5 integrated with Telegram

Stay ahead with KnowEdge – giving your knowledge an edge through AI-powered learning and smart insights.

Framework to build secure, performant and reliable chat apps and services quickly and efficiently.

ClassBuddy is a full-stack web application designed to enhance classroom collaboration, note sharing, and communication between students and teachers.

LangChain + LangGraph client using tools from a MCP server

Simple Generative AI enabled Streamlit web application that answers general questions from PDF documents provided to it.

Ejemplos de código de LangChain y OpenAI

Tool-using GPT agent, equipped with Knowledge Base and ability to search using Google.

The MCQ Generator, using Langchain, creates tailored multiple-choice questions from input text. With a Streamlit interface, users upload files and customize MCQ quantity, subject, and complexity. It intelligently generates questions and logs events for tracking.

Multimindbot is a chatbot designed to help users find specific content without having to search through the entire website. It is specially tailored for the college admission counseling process and keeps a record of the chat history for the current session. The entire chatbot is created using Rag-langchain and Streamlit.

Developed a web application utilizing Streamlit, LangChain, and OpenAI's GPT model, designed to analyze, review, and enhance code quality, providing users with intelligent feedback and optimized code solutions.

An enterprise-grade, full-stack AI travel planner which provides data-driven itineraries for Lucknow, India and showcases production-ready architecture, combining a FastAPI backend with a Streamlit frontend. It leverages an advanced agentic RAG system, context-aware responses by integrating a local knowledge base with live, external APIs.

AI-powered CSV dashboard with chat-based data querying, auto-generated reports, and visual insights using FastAPI, LangChain & Gemini.

ScholarAI: multi-agent ai deep researcher built using langgraph and gemini-2.5 models

The GenericSuite AI for Python (backend version)

AI Chatbot powered by GPT-3.5-Turbo API by OpenAI. Complete with login functionalities and additional features using MySQL

Langchain Tool wrapped around Ionic SDK & OpenAPI Spec

Telegram bot that uses preset prompts to help users communicate like native English speakers.

A simple Q & A App built using Python and Langchain

Agentic RAG with LangGraph 🔥

RAG-based conversational AI for Superior University — 4,750+ pages indexed using LangChain, FAISS, and Groq LLM

Edit AI chats with AI

AI agent for n8n developers that creates and updates automation workflows via conversation.

Open-source context runtime and governance layer for coding agents. MCP server + Python SDK (Anthropic, LangChain, OpenAI Agents, Google ADK) with shared procedures, failure rescue, loop detection, cost tracking, and cross-vendor model routing across Claude Code, Codex, Copilot, opencode, and any MCP host.

A conversational agent that answers user questions using transcripts from the Lex Fridman podcast.

Este repositório reúne uma coleção de recursos e ferramentas relacionadas à inteligência artificial generativa (IA Generativa). Organizado em tópicos específicos, você encontrará links para cursos, documentação, vídeos educativos, projetos práticos e muito mais.

Chat with MYSQL database

建立數位銀行RAG增強檢索的問答機器人

A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.

This repository are a series of demonstration scripts highlighting the functionalities of LangChain, a JavaScript library tailored for developing conversational AI applications. @ S. Leschev. Google Engineering Level: L6+

Blueberry - your personalized AI assistant. This was the stuff I made for a hackathon in college, which won 1st place :O

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.

A Diet Generator app using ollama and langchain

Intelligent Document Analysis Platform. Processes 100-page PDFs in 30 seconds, Answers questions with 90%+ accuracy and supports multiple AI models with intelligent fallback

LangChain integration for FoxNose

Using Doc2Vec, Langchain and OpenAI to chat with Natserract blog https://engineering-natserract.vercel.app/

An educational app powered by Gemini, a large language model provides 5 components a chatbot for real-time Q&A,an image & text question answerer,a general QA platform, a tool to generate MCQs with verified answers, and a system to ask questions about uploaded PDFs. https://drive.google.com/file/d/1M1WT-L419ML_j43dQIyABCy8Ni79NyIq/view?usp=sharing

A blog writer that takes a GitHub repo as input and produces a blog article describing how that project has been implemented

Data Whisperer is a chatbot that allows you to analyze your local files using Large Language Models (LLMs). You can upload PDFs, Markdown, Text, and Document files to the chatbot and then ask questions related to the content of these files.