Python agents

Build multi-model chatbots and agents from intent.

Open-source observability for your LLM application.

Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular formation.

카카오톡 대화 데이터셋

A simple ChatGPT clone in Django using the new gpt-3.5-turbo model

An intellligent AI assistant that can do anything!

Your AI Powered Enterprise Knowledge Partner. Designed to be used at scale from ingesting large amounts of documents formats such as pdfs, docx, xlsx, png, jpgs, tiff, mp3, mp4, jpeg. Integrates with s3, Windows Shares, Google Drive and more.

🌲 Code for our EMNLP 2023 paper - 🎄 "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models"

GraTAG — Production AI Search via Graph-Based Query Decomposition and Triplet-Aligned Generation with Rich Multimodal Representations

Minimalist AutoGPT capable of updating it's own source

NanoCoder Pro — Autonomous Coding Agent with Master-SubAgent Architecture

A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, avoiding obstacles, and avoiding collision with the other agents.

Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'

Shell copilot - sh shell AI copilot

OmniDaemon is a Universal Event-Driven Runtime for AI Agents, it's framework-agnostic, event-driven runtime that turns AI agents into production-grade, autonomous infrastructure services. It enables agents to listen, react, and collaborate across distributed systems—bringing true event-driven intelligence to modern enterprise environments.

ChatBot, show how to implement a RAG based on OceanBase or OceanBase seekdb AI capabilities escpecailly hybrid search and AI embedding.

A MCP (Model Context Protocol) server that provides get, send Gmails without local credential or token setup.

Extract structured data from local or remote LLM models

🧪🤖 Pytest plugin for OpenAI requests

LLM using long-term memory through vector database

Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.

[ICLR 2026] M2-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining

An intelligent task offloading method based on multi-agent deep reinforcement learning in ultra-dense heterogeneous network with mobile edge computing

A production-grade multi-agent system for comprehensive medical diagnosis and coding using specialized AI agents.

Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model

Neuro-Symbolic-Causal AI - Project Chimera | 🌌 An open research project exploring formal verification of AI agent decisions, combining symbolic reasoning, causal inference, and runtime policy enforcement.

A local dual-layer memory pattern for AI agents: a compact, human-readable markdown index paired with semantic retrieval from a local vector store, queried before each message. For cross-project recall where flat memory files or vector-only RAG fall short. Local-first. Reference implementation.

The repository for "MedChain: Bridging the Gap Between LLM Agents and Real-World Clinical Decision Making"

MAM: ModularMulti-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration

Automated LLM Coding Tournaments. There can be only one (winning code solution from the competing AIs)

🤖 Local AI agent for your laptop. Voice activation, multi-step tool use, 7-layer memory, human-in-the-loop approvals. Zero cloud. Zero API keys. Zero telemetry.

LLM-based autonomous world

AutoResearch + PromptFoo = AutoPrompter. Run it with Neo AI Engineer

在千问最新的多模态image-text模型Qwen3-VL-4B-Instruct 进行多种lora微调对比效果，通过langchain+RAG+多智能体(Multi-Agent)进行部署

Open-source script to split exported ChatGPT conversations into separate JSON files, helping users manually migrate chats from one ChatGPT account to another.

面向 Claude Code、Codex、Open Code等Ai Agent 的确定性公文排版 Skill，可直接渲染为规范公文格式的 .docx（字体、字号、行距、页码等）。

Production-ready AI-powered CRM with 6 autonomous agents for lead qualification, email intelligence, sales pipeline, customer success, meeting scheduling, and analytics

Autonomous job hunting agent built with Hermes Agent

Device Context Protocol — bridge LLM agents to physical devices. Sub-50-byte frames, 27.6KB flash / 0.6KB RAM measured on ESP32, capability-scoped and safe by design. Complementary to MCP. Paper: arXiv:2605.26159

Benchmark self-evolving Agent upon realistic large-scale file workspaces

A collection of skills for AI agents (Kiro, Cursor, Windsurf, Claude Code, and others). Each skill is a reusable module that teaches the agent to perform complex tasks with context, structure, and best practices.

WeChatBot 基于ItChat-UOS的 个人微信号OpenAI机器人

Python CLI tool to run queries against sqltatabases and convert the results to json, csv, excel in the command line or python program. Easy to use for Humans, automations, LLMS/Agents

DeepBlue Brain：一个面向 RAG 全链路教学与理解的白盒化交互平台，支持各类文档上传、混合检索、实时检索日志流、提示词原文溯源与流式问答。

AI video production workflow platform for professional short drama teams. Timeline-first, harness-tested, agent-assisted.

Duckduckgo AI Chat to OpenAI API that can be used for free with gpt-4o-mini, llama-3.3, claude-3-haiku, o3-mini , mixtral-8x7b.

Claude usage widget for Windows

transformers safetensors mistral text-generation gpt llm

safetensors gguf qwen3 function-calling tool-calling codex

gradio region:us

A traceable personal memory layer that carries verified state across apps, models, and AI agents.

Local web workspace for coding agents — Claude, Codex, Gemini, and more in one inspectable, LAN-ready hub.

Faster runtime for coding agents. Make coding agents 25% faster and 30% cheaper on average while keeping the quality same or more. Same Task, Same Quality, Faster and Cheaper.

Give Claude Code a persistent memory — it remembers you, your projects, and your decisions as plain Markdown files you own. Fully local. Just say `start`.

Multi-frontend agent relay: run Claude Code, Codex, local, and AG-UI agents from Discord or Microsoft Teams

Open Swiss legal corpus + MCP server: 1M+ court decisions (1875–today), 21k laws, 10M-edge citation graph, 42 MCP tools. CC0 data, MIT code. Live at mcp.opencaselaw.ch

This is retrieval based Chatbot based on FAQs found at a banking website.

Implementing some features of Manus with MCP

Deploy your autonomous agents to production grade environments with 99% Uptime Guarantee, Infinite Scalability, and self-healing.

[ICLR 2022] Official implementation of paper: Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

A stateful multi-agent travel service system built on LangChain & LangGraph. Features intelligent task delegation, permission control, and human-in-the-loop verification for flight booking, hotel reservations, car rentals, and tour planning.

A collection of apps powered by the LlamaIndex LLM framework.

A Twitter bot that reads the tweets of a given username and analyzes the user's personality using AI.

Get the information of a Github Repository using the power of LLM.

Get control of your overflowing inbox using GPT-3 to classify your emails by importance.

A basic AI chat using the OpenAI API and its GPT-3 models

A strongly typed Python DSL for developing message passing multi agent systems

基于ReAct构建的电商智能客服代理

June is a framework for agent based modelling in an epidemiological and geographical context.

Official code release of AAAI 2024 paper SayCanPay.

Turn any document into ready-to-use AI image prompts.

A sophisticated RAG (Retrieval-Augmented Generation) Telegram bot that transforms articles and documents into interactive knowledge bases. Upload PDFs/URLs and get AI-powered answers with source citations.

Demo repo for connecting an LLM Agent to a Whatsapp webhook

LLM-driven Linux operations assistant CLI with mandatory HITL safety, policy engine, runbooks, SSH guards, and audit trails.

Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single agent tasks. These methods have further been extended to multiagent domains in cooperative, competitive or mixed environments. This paper primarily focuses on multiagent cooperative settings which can be modeled for several real world problems such as coordination of autonomous vehicles and warehouse robots. However, these systems suffer from several challenges such as, structural credit assignment and partial observability. In this paper, we propose Recurrent Multiagent Deep Deterministic Policy Gradient (RMADDPG) algorithm which extends Multiagent Deep Determinisitic Policy Gradient algorithm - MADDPG \cite{lowe2017multi} by using a recurrent neural network for the actor policy. This helps to address partial observability by maintaining a sequence of past observations which networks learn to preserve in order to solve the POMDP. In addition, we use reward shaping through difference rewards to address structural credit assignment in a partially observed environment. We evaluate the performance of MADDPG and R-MADDPG with and without reward shaping in a Multiagent Particle Environment. We further show that reward shaped RMADDPG outperforms the baseline algorithm MADDPG in a partially observable environmental setting.

pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"

Agent Kit is a comprehensive AI agent development framework that integrates Claude Agent SDK, providing a complete solution from frontend to backend. This project aims to help developers quickly build, deploy, and scale production-grade AI Agent applications.

aiXplain enables python programmers to add AI functions to their software.

Official Arcade Python Client

LangGraph ReAct Agents with an ability to use MCP Tools dynamically

LangGraph+A2A+MCP 实现的Agent RAG

Prompt Hardener analyzes prompt-injection-originated risk in LLM-based agents and applications.

Agent Skills Evaluation Framework

CryptoAgent is a professional, enterprise-grade solution designed to fetch, analyze, and summarize real-time cryptocurrency data.

🐍 Асинхронный Python-фреймворк для разработки ботов MAX Bot API (max.ru)

这是一个基于 LangGraph 构建的轻量级多智能体协同项目，专注于智能问数与数据分析，并尝试集成 MCP 工具，主要用于学习与研究。

Multi-agent system that designs and generates complete agent team structures through conversational interviews. Supports Claude Code and Codex.

Turn any repo into a governed AI workspace. Quality gates, security scanning, and risk management — enforced locally via git hooks. Works with Claude Code, GitHub Copilot, Cursor, Gemini & Codex.

General RAG framework specialized for scientific and academic applications.

AI-powered bookkeeping and tax filing automation via MCP for entrepreneurs at the heart of the European economy

📚 Lama Loca — локальный ИИ-ассистент для учёбы. Учится по вашим книгам, создаёт отчёты, презентации, конспекты. Полностью офлайн.

RJ Auto Metadata is a desktop application that uses AI to automatically generate titles, descriptions, and keywords for your media files.

AI agent set for cloud security purple teaming, runs inside Claude Code, Gemini CLI, and Codex.

An autonomous agent that acts as a DEF CON-level Certified Ethical Hacker, using tools such as Nuclei, sqlmap, ffuf, Burp, ZAP, and the Social Engineering Toolkit (SET), (labs, CTFs, HackTheBox, TryHackMe, and bug bounties with a written scope).

Deterministic, zero-dependency Python firewall for AI agents — MCP rug-pull, memory poisoning, indirect injection, exfil channels. 44 compliance templates (US/CN/JP/EU).

Build a simple RAG chatbot with LangChain and Streamlit

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.