GitHub agents

We have developed a fully AI/ML-based itinerary recommendation system which when used by people coming to visit any place would allow them to better optimize their cost/time. We have 3 developed 3 inputs that are Scraping Twitter, UI Form, and FB Chatbot

FAQ's answering chatbot using open source chatbot framework Rasa Stack

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

用最简单的代码带你实现基于大模型的本地知识库问答系统

LLM-based chatbot capable of interfacing with external systems for knowledge retrieval and command execution

使用QQ聊天记录制作属于你自己的聊天机器人

A fullstack Rust + React chat app using open-source Llama language models

Web version of SpeakGPT created using ReactJS and Google Material Design 3.

GPT-For-NLG-Tasks

🍥 Haskell向けLINE Messaging API SDK

Python3 wrapper/library that simplifies telegram bot development. It supports both sync and asyncio methods of programming. Dive in and start making awesome bots!

TypeScript framework for writing chatbot applications

Python 3 ChatBot / Botnet

A full-featured, hackable Next.js AI chatbot built using my chat UI components

support GeminiPro 、ChatGpt;Eywa comes from Pandora

Pytorch Implementation of "Sequential Dialogue Context Modeling for Spoken Language Understanding( https://arxiv.org/abs/1705.03455 )"

Cross-Platform App and Web Extension for Personalized Product Profiling

AI-powered Gmail Automation CLI

Get started with openai.beta apis in minutes [TypeScript, Cloudfare Workers]

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

Dolores is a Python library designed to improve the developer experience when working with pretrained language models. Dolores provides prompts for interacting with language models that result in interesting or useful outputs.

Prefect integrations for working with OpenAI.

Generate web app from drawing by AI

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

🤖 OpenAI. No account required.

Let's turn ChatGPT in to VoiceGPT (Vue JS, Vite, Open AI, AWS Polly) ChatGPT Clone (kind of lol)

Terraform provider for OpenAI (experimental as hell)

NestJs microservice template for OpenAI and ChatGPT

✨ Generative AI toolset for Ruby ✨

Paper to Code automates the incorporation of research paper concepts into practical code using OpenAI's GPT models, bridging theory and implementation.

🏀 DbgGPT - my first basic x64dbg/openai plugin

quick way to build a private large language model server and provide OpenAI-compatible interfaces | 快速搭建私有大语言模型（LLM）服务，提供OpenAI兼容接口

Whisper Speech-to-Text is a JavaScript library for recording and transcribing user audio into text via OpenAI's Whisper, intended for web applications.

An open source native ChatGPT app for iOS built in SwiftUI.

Rust bindings to the Anthropic API

Go SDK for Anthropic's Claude, a next-generation AI assistant for your tasks, no matter the scale.

One stop shop - Local-first RAG stack with intelligent polyglot-code/docs, remote code execution, local llama enrichment, progressive disclosure tools, mcp server, sandboxed security.

This repository helps you evaluate your models on the FreshStack benchmark!

AI web agent to find answers to any question

智能派单Agent系统是一个基于大语言模型(LLM)和LangChain框架的智能对话系统，用于为用户提供自动化的技师派单服务。系统具备上下文记忆能力，能够理解用户的多轮对话，并根据用户需求匹配合适的技师资源。

Build powerful applications/modules with just one prompt using LLM agent tools like Cursor, Windsuft, GitHub Copilot, etc. This is the future of developer productivity.

An all-in-one, batteries included LLM CLI tool featuring agents (OpenAI-style, graph-based, parallel/teammate patterns), RAG, roles, macros, and more!

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

LTL Optimal Multi-Agent Planner (LOMAP)

Turn any MCP Client into a "multi-agent" system (via prompting)

This repository is your comprehensive guide to building, orchestrating, and deploying AI agents and workflows using the Microsoft Agent Framework. Whether you're creating simple chat agents or complex multi-agent workflows, this repository has everything you need to get started.

Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks

Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)

Multi-Agent RL Environment for the Stratego Board Game (and variants)

one go multi-agent system like manus using any MCP you want with configuration // 一个go语言编写的类似manus的多智能体系统，可以通过配置连接任何你想使用的MCP组件

This is Claude Code Tool for Unity Shader.

Please Read Me First. This is a set of java file of my final version of electronic artifacts. This is a game to map my experience in Disney World, in Orlando during this spring break. However, because of my limited skills in computer science, I really have no idea how to simplify the process to run the game. Sorry for the inconvenience. In order to run the game, you may need to install JAVA. I hope the following links will help you.     http://www.oracle.com/technetwork/java/javase/downloads/index-jsp-138363.html#javasejdk
    http://www.cc.gatech.edu/~simpkins/teaching/gatech/cs1331/guides/install-java.html My main file is called Disney. You can call Disney in console to start the game. However, I failed to putting all the things inside Disney file. Therefore, you may also need to call AdventureLand, MainStreet, and FrontierLand to start other three games. I hope this will help you. Sorry again for the inconvenience. 1. the structure of my project My project only focused on my trip in Magic Kingdom, one part of Disney world in Orlando. It is a game which guides players to choose from six sub-games, which match six sections of the park, Main Street U.S.A, Tomorrowland, Adventureland, Frontierland, Fantasyland and Liberty Square. I chose one of the rides I took in each section which, from my perspective, shows what I found interesting in Disney world. I changed what I experienced in the park into a small computer game. I want to share my experience with others while they play my games. In the following part of self reflection, I explain the background, rules and other things about each game. For convenience of matching them, I use different color to mark different parts. I hope it will help readers a little bit when they are lost in my disordered reflections. 1. the hall of presidents - Liberty Square 2. Festivall parade - Fantasyland (I explain this one in the part of technology skill limitations) 3. Big Thunder Mountain Railroad - Frontierland

Basic ReAct agent implementation in Python from scratch

An infra-level React UI platform to create cohesion and consistency so teams and agents can build faster, together.

AI Assistant Delegation Framework - Keep your context clean by delegating API queries to specialized sub-agents 🐊

Agentic RAG with MCP Server

A platform designed to facilitate the development of advanced conversational agents using retrieval augmented generation (RAG).

Microsoft Agent Framework - learn how to adress agentic enterprise scenarios

replicantlife is a framework for generative agents that can be used in a simulation engine or standalone. Agents are powered with metacognition modules that allow that to learn and adjust their strategy over time.

CLI tool that lets you chat with your agent locally for faster feedback and debugging

Playwright Copilot is a Visual Studio Code extension that accelerates BDD (Behavior Driven Development) testing with AI-generated code suggestions.

Copilot AI translation plugin for Bob

🐱🐾NekoACM: Neural-network Engine Kit of ACM-ICPC. 基于人工智能大模型的 ACM-ICPC 神经网络引擎工具包，提供自动出题、生成测试数据和题解代码、题目格式解析、题目国际化翻译、虚拟评测机、AI 编程助手等功能。可以作为模块集成到 Online Judge 系统中。

Personal dotfiles configuration.

To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models

Streamlit web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and message storage for later retrieval. Users can upload/embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified input, context, and scenario.

A handy utility to generate configmap and values.yaml of your application for helmifying them

A YouTube agent built using AutoGen

CORMAS (COmmon pool Ressources and Multi-Agent Simulations)

Reset IDE data, Create backup and restore, manage multi-account easily, Work for VS-Code/fork based app.

AI code generation and improvement

A minecraft chat bot for anarchy servers (similar to mooomooo)

Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices

Kel - CLI-based AI assistant

OpenAI Whisper in Home Assistant via the OpenAI API for use in the Assist pipeline

:rocket: OneChatGPT 开源的多模型 AI 代理（支持OpenAI / Gemini / DeepSeek等 ），支持文本生成，图片生成，文件解析等高级功能。使用 Flutter 开发，支持安卓，IOS。

ZERG (Zero-Effort Rapid Growth): Secure and parallel Claude Code execution system. Overwhelm features with coordinated zergling swarms.

MCP Server connects with claude code local command.

Improve insights to make smarter decisions by tapping into real-time data with retrieval-augmented generation (RAG).

Interactive LLM Chatbot that constructs direct and transitive software dependencies as a knowledge graph and answers user's questions leveraging RAG and critic-agent approach

Dataflow-guided retrieval augmentation for repository-level code completion, ACL 2024 (main)

Enhancing Medical Question-Answering System through Advanced Information Retrieval Strategies

Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)

二阶多智能体系统固定时间一致性

The official repository for "CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluation".

[TPAMI] Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning

Python implementation of Space-time A*, Prioritized Planning, & Conflict-based Search for Multi-agent Path Finding (MAPF)

Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). GoMARL is a domain-agnostic MARL method that learns automatic grouping for efficient cooperation by promoting intra- and inter-group coordination.

This is a MATLAB-based reinforcement learning framework that includes the Proximal Policy Optimization (PPO) algorithm and its multi-agent extension (MAPPO). It supports GPU acceleration and parallel computing, making it suitable for research and engineering applications in control systems.

Create configurable Claude Code agents as ComfyUI nodes. Assemble agentic workflows that can leverage all the existing possibilites of ComfyUI.

An open-source alternative to Claude Cowork, powered by Claude Agent SDK

Deploy Claude agents as production APIs — with sessions, streaming, sandboxing, and persistence handled for you.

Automated pipeline for generating, verifying, and preparing high-quality function calling datasets for model fine-tuning. Reduces manual annotation through multi-stage validation and conversion to training formats. Built for Azure ML with permissive license models (Phi3.5 MoE, Phi4 etc).

Python client for SuperAGI agent framework

Backend for skillgraph - a skill based framework for building agents that work.

An example Nuxt 4 app using Mastra AI agent framework

An R package that provides an agent based modeling framework for epidemic models

These guides are designed to help teams and individuals leverage AI tools like GitHub Copilot, OpenAI, and Claude to build software projects efficiently and effectively

A powerful Model Context Protocol (MCP) server that provides an access to serverless browser for AI agents and apps