Python agents

Open source platform for robots based on LLM

whisper.cpp HTTP transcription server with OpenAI-like API in Docker

This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 model. It features intelligent routing to relevant functions, database querying, semantic searches, Lambda function executions, and specialized interactions.

An experimental open-source AutoGPT and Langchain based tool kit for network security

LLM-powered bookmark search engine

This is a twitch chatbot based in Llama2 tecnology

AgentMake AI: a kit for developing agentic AI applications that support 24 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, azure_any, cohere, custom, deepseek, genai, github, github_any, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai

An image generator Discord bot written in Python with no GPU requirement! It can be easily deployed to your favorite VPS for hosting.

The official implement of paper 《DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents》

A multimodal agent built with Python agents framework

simulation alignment negotiation governance arbitration multi-agent-systemsmulti-agent orchestration orchestrator mediation ai-safety human-in-the-loop audit-logs reproducibility prompt-injection

多代理(Multi agent)强化学习Qlearning算法在多目标探测问题(任务分配+功率优化)中的应用

SWARM: System-Wide Assessment of Risk in Multi-agent systems

Draw with LLMs in ROS2 TurtleSim

Automate the full pentest process with six Claude Code skills covering recon, exploit chains, and bug bounty report generation from any domain.

Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".

A gradio webui for Andrewyng translation-agent

Chatbot to interact with a SQL database using LLMs and Langchain agents

A cold email automation tool which extracts job listings from a company’s careers page and generates personalized outreach emails with relevant portfolio links for more targeted and effective communication.

Podcast Summarizer with LLM Technology

👽 基于大模型的知识库问答 | Large model-based knowledge base Q&A.

Creating Intelligent Terminal Apps with ChatGPT and LLM Models

Autonomous agent networks for task automation that requires multi-step reasoning

My implementation of autogen and memgpt agents that work together to create simple scripts and help plan out larger projects.

An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.

Experimental code for evaluating Python's capabilities in Unreal Engine 5. This repository includes test scripts for UE5 automation, Blender and HoudiniFX integration, as well as tools such as a Twitter bot, a Reddit script, and utilities that leverage text and image generation models.

🌻 Deep learning project of Taiwan plants classification and detection with chatbot implementation

Chatbot using Tensorflow (Model is transformer) ko

An open source, community-written service-agnostic chat bot

Serverless applications for Amazon WorkMail.

Here is my Senior Design Project that I implemented to graduate from Computer Engineering. It is a chatbot made in RASA and helps the user to plan their vacation in the Turkish language. In order to plan the user's vacation, it provides reservations by asking various questions for hotel, flight, or event.

A chat bot powered by GPT to answer questions related to documentation

Automate and streamline app development with an intelligent Python application that leverages OpenAI to generate plans, create project structures, manage tasks, and guide developers through the development process.

Voice2voice ChatGPT Assistant built through OpenAI Whisper (speech2text) + OpenAI ChatGPT API + Google Text2Speech Service (text2speech)

Easily manage ChatGPT conversation variables

Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs

This repository contains an example of how to use the Weaviate vector search engine's text2vec-openai module

PyGPTPrompt: A CLI tool that manages context windows for AI models, facilitating user interaction and data ingestion for optimized long-term memory and task automation.

Let's discover films.

Code for the paper "Firewalls to Secure Dynamic LLM Agentic Networks"

A KBQA solution framework based on the agent-environment paradigm in the era of LLMs.

Tools for CrewAI

The Pentest Agent System is an autonomous penetration testing framework built on the MITRE ATT&CK framework.

Spring 2017 Deep Reinforcement Learning Final Project

A multi agent system for document generation

An Agent used to demonstrate the operation of code based on a sandbox in a multi-user environment

Multi agent penetration testing AI

Multi agent simulation code for 2×2 Game on complex network

Multi-Agent System for Automated Penetration Testing (MASAPT)

This is a multi agent reinforcement learning system using SUMO for large scale traffic light control

This project shows how to unlock Ollama tool-calling with Google’s Gemma 3, which doesn't natively support this feature. Includes practical examples, custom prompts, and model-file adjustments to demonstrate effective integration.

Linq's Function Calling Agent utilizing DeepSeek-R1

GitAra 🦜🎸: A small function-calling git agent you can run locally

Solana Agent Middleware: a Python framework for AI agents with tools, memory, wallets, events, and guarded on-chain workflows.

AI agent framework

Build Your First Copilot Challenge (Foundry Edition)

A LangGraph-based research assistant that helps find, analyze, and summarize scientific papers. Built with Mistral LLM (via Ollama) and Flask, this agent can search papers through CORE API, process PDFs, and provide structured research summaries.

Augmented AI decision framework

Driving games common tools

Common Chronicle turns messy context into structured, sourced timelines.

This project is a Facebook Messenger chatbot that uses the OpenAI GPT-3 model to generate responses to user messages. It leverages Flask as a web framework to handle incoming messages from Messenger and makes requests to the OpenAI API to generate responses.

A RAG-powered Telegram / Mattermost bot to record beancount transactions with few words

解放你的双手，让Colab持续给你提供算力生产色图！

A tool for summarizing search results and website content using FAISS, LLMs, and the Retrieval-Augmented Generation (RAG) technique.

This is the official code repository for the paper "Language Agents Meet Causality -- Bridging LLMs and Causal World Models"

ClickAgent: Enhancing UI Location Capabilities of Autonomous Agents

Multi Agentic Rag Tutorial

In this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with opposite goals. At the beginning of the game these agents have homogeneous properties and evader and pursuits don’t have knowledge about the map. The purpose of the pursuer robots is the catching the evader as fast as it could and the purpose of the evader robot is the escaping as much as it could. Such as this game, where a player's gain is in balance with the loss of other players are called zero-sum games. The end condition, which may differ according to the approach applied, in our study is that “any of the pursuers or evader within the same or neighbor pixel with obstacle or map border” or “one pursuer and evader within the same or neighbor pixel”, in other words, Evader catches by the any of the pursuers or evader hits an obstacle or any pursuers hits an obstacle. A new episode of the game resumes after each collision or cath. In this respect, escape-chase problems are also included in the repeat games class. In this study, the question is what any pursuer or evader can do to improve its performance in a repetitive part of the game is questioned. The method used for this study is Deep Reinforcement Learning. Agents receive rewards or penalties based on their moves within a section and update this information into the Neural Network.

An open-source chat text to control actions agentic workflow framework/showcase powered by Agently AI application development framework.

Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on the CoSES ProHMo Modelica framework, efficiently controls a building's heat pump and thermal storage valve.

Git AI Copilot code review

TDD + requirements workflow skill for AI coding agents (Claude Code, Codex, Antigravity, Cursor, Windsurf, etc.). Part of the Shelpuk agentic suite alongside Serena, Kindly Web Search, and Lad.

AgenticRAG is an advanced AI-powered retrieval-augmented generation (RAG) Agent designed to provide users with an interactive and intelligent conversational experience

Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain.

Match your resume with a job, effortlessly

pdf multimodal rag 【pdf多模态rag问答】

Grey Haven's centralized repository for Claude Code agents, commands, and configs

Agentic RAG system grounded in Ethereum specs, discussions, papers, and codebases

AI-powered natural language to SQL and Governed Data Layer for AI Agents and Analysts

NewsAgent is an enterprise-grade news aggregation agent designed to fetch, query, and summarize news from multiple sources at scale.

Implementation of Corrective RAG using LangChain and LangGraph.

Privacy-first document intelligence engine — parse PDFs, DOCX, PPTX, XLSX & CSV into AI-ready chunks for RAG pipelines. Includes HITL review, 3-layer memory chat, and a production FastAPI server.

A股投资LLM-Agent，stock-agent课程项目用版

Claude Code skills for building and running actual software startups, apps, SaaS, and businesses

Build a Reddit Content Research Agent with LLMs, LangChain, SERP, Jupyter, Django, Bright Data, Celery, Django QStash, and much more.

These are my vibecoded experiments (generated by the agents themselves based on the docs of various tools) -- many of the skills are not properly vetted and I am simply improving them as I go along and notice mistakes done by the agents as they use a given skill.

🎯人人可用的Agent，你的终极数字奴隶。让Agent帮你处理一切，提前享受纯粹的未来生活，穿越到2050年的通行证 | A conversational AI agent capable of autonomous browser automation

AI code knowledge graph for code understanding, graph retrieval, and agent workflows

Security-first AI agent daemon — the model proposes actions, the runtime decides what execute

Chat with your X bookmarks. Turn saved posts into answers, drafts, plans, and decisions

Self-hosted multitenant platform for AI agents and Telegram bots with event-driven architecture

Notolog Markdown Editor

Parrot is a new library to work with chatbots and agents with a very simple API

An AI-driven tool integrating Abaqus and OpenAI's LLM for automating finite element simulations, including input file generation, job execution, stress extraction, parametric studies, and sensitivity analysis, streamlining complex workflows for enhanced decision-making.

Repository for the paper "MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance"

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence

loopAny is a framework that enables AI Code Agents to carry out fully automated product iteration. It gives Agents the ability to autonomously complete the full process of design, development, testing, and experience optimization without human intervention.