GitHub agents

Git-based test distillation for Codex agents: catch aggressively, commit reluctantly

Documentation memory for AI coding agents—route project knowledge, reduce repeated context loading, and validate living Markdown docs.

Cost saving Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.

A unified, driver-based Laravel toolkit for working with multiple LLM providers for chat, image generation, and more.

Docker Dev Environments for AI, CV and Robotics Courses at NJIT and NYU

One key Openclaw deployment - Deploy and manage OpenClaw AI agents with fnOS

A structured prompt framework for building software products with AI coding assistants. This toolkit guides you through product specification, technical design, and implementation planning—producing documents that AI agents can execute against.

Context-optimized task orchestration for Claude Code — decomposes complex tasks into a DAG and dispatches focused sub-agents with minimal context prompts

Automatically clicks the Continue button in GitHub Copilot Chat Agent Mode, so your repetitive commands run without manual approval.

The Unified Intent Mediator (UIM) protocol standardizes interactions between AI agents and web services, streamlining how intents are discovered, executed, and managed. It provides a secure and efficient framework, simplifying integration and enabling scalable, autonomous AI-driven applications and workflows.

A generative game world for your OpenClaw: turn a single sentence into an endless adventure with dynamic narratives, rendered scenes, and RPG mechanics. Play manually, or let guest agents take over.

Open-source AI coding agent. Desktop app, bring your own model. Writes code, browses the web, verifies its work. Apache 2.0.

Empower Your Productivity with Local AI Assistants

Archived 🚧|🌻Building ChatBot with LLMs.🌻 | Using async requests. | 具有多 LLM 适应性 | 通用大语言模型代理端框架 |多人称全类型注解

https://yike.io 前端源码，项目基于 Nextjs 13 开发。

A powerful OpenAI playground for pro-users and developers

A minimalistic automatic speech recognition streamlit based webapp powered by OpenAI's Whisper

ADP is an intelligent data platform that bridges the gap between heterogeneous data sources and AI agents. It abstracts data complexity through business knowledge networks, provides unified data access (VEGA), and orchestrates data processing through DataFlow pipelines.

Multi-agent AI desktop app powered by Claude Code

Examples of how agents, swarms, tools, widgets & more can be built for the SwarmZero platform.

WeChat/微信 local chat history MCP server for macOS agents. Read messages, contacts, media, favorites, transfers, red packets, Moments and full-text search from local WeChat 4.x data.

The operating system that AI workflows trust. Structure messy inputs. Establish identity. Track provenance. Build the durable data layer your AI workflows need to be trusted, reusable, and auditable.

The minimal AI agent engine

GitHubで管理している職務経歴書の内容をLAPRASに同期するGitHub Actions

AI-powered extension for Gemini CLI that creates custom agents through natural conversation

Teach a chatbot to be a bookworm with Langchain and OpenAI's GPT-3.5 language model. Get answers to all your burning questions straight from the pages of a PDF!

Chatbot that uses Gemini-1.0-Pro to answer questions, with memory by using LangChain. Also, it's enriched by RAG and deployed in Dialogflow

Swarms Tools provides a vast array of pre-built tools for your agents, MCP servers, and multi-agent systems.

Ask question to your Airtable base in natural language

ToiBot is a chatbot application built with Node.js that showcases the capabilities of the Flowise SDK.

Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents

🚀 A simple, modern, full-stack toolkit for Python 🐍

It shows a korean chatbot using LangChain based on Llama3

Scene-Based Generative Agent

Analyzing code using GPT .(通过GPT分析代码，增加注释，生成文档)

LLM conversation agent to control your devices in Home Assistant

Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

VS Code extension for managing, sharing, and installing AI prompt collections for GitHub Copilot and other AI assistants

An open source multi-channel (Messenger, Telegram and LINE) bot for querying and subscribing information and data about COVID-19.

A feature-rich Python-based Telegram bot for OpenAI API & Perplexity API

Abstraction for Utilizing Rocket.Chat's Realtime API Methods with RxJS

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.

Multi-turn open-domain Arabic chatbot with a wide set of features.

Chatbot for Programmers

一个基于 NoneBot 与 go-cqhttp 的QQ娱乐机器人，有 自动配置go-cqhttp | 空间匿名墙 | 五子棋 等功能

Bothub is an open platform for predicting, training and sharing NLP datasets in multiple languages

MineGPT 是一个基于Kotlin Multiplatform 开发的本地小型语言模型(SLM)对话应用; MineGPT is a lightweight local SLM (Small Language Model) chat application built with Kotlin Multiplatform. It aims to provide a cross-platform and user-friendly AI assistant experience.

Samples using context variables and (system) entities in IBM Watson Assistant (formerly Conversation) service on IBM Cloud

A plugin helps ChatGPT to interact with IoT devices.

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

Prompt Engineering best practices guidebook, written for humans.

Reactive WebFlux OpenAI API Client in Java

Try new system prompts on your AI conversations. Over and over until you're happy.

An LLM library for Ruby

Your NeoVim assistant

Universal API client for common AI models

A bentoML-powered API to transcribe audio and make sense of it

A startup AI name generator using OpenAI APIs by Ali Solanki

logs into chat.openai.com bypassing the captcha, write a prompt and print the response

ht - a shell command that answers your questions about shell commands

Simple typescript package to use OpenAI completion & image creation

A Model Context Protocol (MCP) server that provides real-time cryptocurrency analysis via CoinCap's API. Enables Claude and other MCP clients to fetch crypto prices, analyze market trends, and track historical data.

Claude Skills for connecting Claude.ai to local Weaviate vector databases - manage collections, ingest data, and query with RAG

A Reverse Engineering Assistant leveraging Retrieval-Augmented Generation (RAG) and the LLaMA-3.1-8B-Instant Large Language Model (LLM). This tool is designed to revolutionize reverse engineering tasks by combining machine learning with retrieval-based systems.

A new novel multi-modality (Vision) RAG architecture

To implement LLM as a services.

AIO Research Agent - an all-in-one intelligent companion for navigating the academic world.

Aient: The Awakening of Agent.

A quick implementation of a GenAI News Summary agent using Llama-3 over Groq.

A chat platform for AI agents.

AI-Agent Alpha Quant Strategy: A-Share Sentiment Index — Daily 0–100 sentiment score from Tushare market microstructure signals + AI commentary for risk warnings and position management.

F.L.A.T. - FlawLess AgenTs

本地优先的 AI Agent 工程实践项目 · Local-first AI agent engineering project

Structured AI Prompt Engineering Agent based on OpenAI’s best practices

它是一款面向数学建模的自动化Agent，基于Spring AI Alibaba Graph框架开发：从问题陈述出发自动构建并求解数学模型、进行数据验证与可视化，最终输出包含方法、结果、代码、数据与参考文献的可直接投稿的完整论文。

A wrapper around F# interactive (fsi) that exposes an MCP server endpoint for AI agents allowing for fsi IO.

CopilotKit AI助手演示应用 - 展示前端UI与后端Agent交互

AI Agent 记忆管理系统：P0/P1/P2 优先级 + 自动归档，Token 降 78%

An ergonomic, opinionated memory interface for AI agents

The purpose of this project is to research Artificial Intelligence and Reinforcement Learning. In the AI Arena, multiple agents can interact with a single environment. After sending its action, each each agent will receive a reward. This allows agents to learn, improve their behavior and to adapt to each other. Interesting phenomena can arise...

基于GPT的自主AI Agent，可以使用联网搜索、本地知识库查询等工具，根据指定的研究目标写报告，例如写市场分析报告、科研报告

Pretrain、Posttrain、RAG、Agent等大模型相关的基础项目合集

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.

SimpleLLMs - Simple LLM Suite: Five specialized agents for Claude Code (R.A.L.P.H., B.A.R.T., L.I.S.A., M.A.R.G.E., H.O.M.E.R.)

Deep learning models for self-driving vehicles to predict other car/cyclist/pedestrian (called "agent")'s motion.

Adaptive Traffic Signal Control of Autonomous Vehicles using Multi-Agent Reinforcement Learning techniques and SUMO tool for vehicular simulation. Implemented algorithm: Independent Advantageous Actor-Critic (IA2C)

Multi-agent reinforcement learning environment

多智能体系统一致性

A flexible framework for multi-agent models in economics and finance

Implementation of Multi-Agent Deep Deterministic Policy Gradients

MultiROS is an open-source ROS based simulation environment designed for concurrent deep reinforcement learning. It provides a flexible and scalable framework for training and evaluating reinforcement learning agents for complex robotic tasks.

Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method

Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces (AAMAS-22)

This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of multi-agents in different game types, including RPG and MOBA, cloud infrastructure, and software engineering as well.