Python agents

GAN-inspired multi-agent system that autonomously builds full-stack web apps from a single prompt using Claude AI agents

A general-purpose, command-line AI agent built from scratch.

🤖📜 AI Agents & Planning papers hub

Add consistent identity control to Flux.2 models using PuLID with improved face recognition and native Klein weights integration.

Multi-agent AI debate engine. 4 LLMs debate any topic via OpenRouter. Structured rounds, adversarial scoring, final report with confidence rating.

LLM-powered generation-based fuzzer.

Multi-agent LLM system for meal planning and grocery budgeting, integrating recipe retrieval and ingredient price lookup using LLMs, SQL and vector databases.

Server with an AI agent powered by an LLM, with tools for internet search, Wikipedia, and RAG database access.

Intuitive React dashboard with CrewAI agents automating trend-driven LinkedIn posts.

[Hitachi Digital Services] Demo on LangGraph-based Lightweight Multi-Agent System

Your AI agent has no idea it's been hijacked. AgentGuard does

Automatic Triton kernel generation and optimization for Intel GPU, powered by Claude Code.

PLD: Runtime Phase Model for Stable Multi-Turn LLM Systems

forgent — meta-orchestrator that grows its own AI subagents on demand. Routes any task across Claude Code subagents, Python frameworks, and MCP servers.

T4: Multi-Agent - System uses agents. Agents collaborate. Shared canvas holds work. Adapting for code improvement. (Orchestration, System prompt updates, Shared canvas, simple dynamic workflows)

An autonomous coding agent that tells you the truth. Multi-agent LangGraph orchestrator with outcome-honesty invariants, trust ratchet, and baseline-aware merge gates.

A multi-agent AI system using Google AI Agent SDK and Gemini to analyze real-time route safety (crime, weather, lighting) and optimize navigation.

Integration of OpenAI with Pytest to automate API test generation.

📧 Intelligent Agentic Workflow for Autonomous Enterprise Email Triage. Built with OpenEnv, featuring Chain-of-Thought reasoning and Self-Correcting agent logic for high-stakes corporate routing.

Autonomous multi-agent AI research system

A graph-based failure modeling and deterministic detection system for LLM agent runtimes.

Config-driven MCP proxy that adds session-safe file uploads, artifact handling, and robust state and health controls for upstream MCP servers. Also provides code-mode for servers that don't yet support it.

Configurable framework for running multi-agent Claude Code teams. Zero external dependencies.

mBFT: Metacognitive Byzantine Fault Tolerance — reference implementation for Consensus-Driven Metacognition in Multi-Agent Systems

AI-powered application that generates personalized 7-day diet and workout plans based on user inputs such as age, gender, fitness goals, dietary preferences, and lifestyle habits.

Effectively unlimited long-term memory for any LLM - zero context tokens, zero weight updates, cryptographic forgetting certificate.

Lightweight persistent memory for AI agents. SQLite, zero mandatory dependencies, privacy controls (forget/TTL), full audit log. Drop into any agent in 3 lines.

gotoHuman Python SDK

🔍 Automate research tasks with the Autonomous Research Agent, utilizing intelligent queries and parallel searches to create concise, comprehensive reports.

XAP (eXchange Agent Protocol): open economic protocol for autonomous agents.

Next generation role-playing with LLM - with AI world and intelligent NPCs and multi-faceted Graph memory for all entities and a rich pipline and multi agent

Distributed systems reliability patterns applied to LLM agent workflows. NestJS, PostgreSQL, BullMQ, LangGraph, Python/FastAPI.

This is a custom-built AI chatbot using Streamlit and Google Gemini API (via Lang Chain), designed to provide real-time, human-like assistance about Yashfeen Skills Development Services (YSDS). Perfect for educational institutes looking to automate FAQs and course guidance with a friendly, AI-driven solution.

Lunheng (论衡) — Multi-agent paper review framework aligned with NeurIPS/Nature/JACS rubrics. Claude-native, no extra API key.

A streamlit based chatbot for custom CSV data.

pingo智能体演示平台

A medical consultation chatbot using RAG and RAFT techniques on the Gemma 2 model, achieving high performance in the healthcare domain.

Graphscribe is an intelligent, LLM-powered document understanding system designed to extract structured insights from complex visual content such as statistical diagrams, charts, and graphs.

AutoAdvisor is an AI-powered business strategy assistant that validates user-submitted business ideas, generates strategic reports using multi-agent reasoning, and delivers actionable insights including a SWOT analysis.

🧠 Synapse - Supercharge your AI coding assistants with memory, context, MCP tools, and intelligent routing. Works with Cline, Roo, Cursor, and any OpenAI-compatible tool. Just change the API endpoint and get superpowers! ✨

extracts text from pdfs and powerpoint documents and summarizes it into key points and bullet lists, uses LangChain and Google's Gemini.

AI Development Agent - Multi-Agent Software Development System A comprehensive multi-agent system that transforms project descriptions into complete, deployable applications using various AI technologies. Features configurable specialized agents working.

Hands-on code and examples for Week 5 of the Ready Tensor Agentic AI Developer Certification Program – building agentic systems with LangGraph, custom tools, and multi-agent workflows.

Local PDF Q&A with vector search + LLMs; LangChain powered Streamlit interface

Claude Code plugin for LangChain and LangGraph development. Skills, commands, and reviewer agents for building AI agents, RAG pipelines, and LCEL chains.

LLM RAG Project for Food Content Information Chatbot

A production-quality demo of agentic AI systems — LangGraph multi-agent orchestration, browser automation, Slack integration, and LangSmith observability

Make direct questions to multiple github repositories at the same time with AI.

The Tutor microservice is responsible for creating learning materials and manage user interactions

Make multiple Collections on Qdrant with Langchain & Openai

Backtester AI Agent for Equities

A FastAPI RAG pipeline that ingests PDF files, makes embeddings and stores them in a Vector Store (Postgres + pgvector database), then when a query is made performs a similarity search and builds the context to pass to the LLM to generate accurate bibliography-backed answers to the questions using langchain.

LLM judgment control layer for drift, memory loss, hallucination, and cost optimization.

一款AI驱动的本地文件分类工具，支持文档解析、多级自动分类和自然语言搜索，适合学生和职场人士管理大量文件 （ An AI-powered local file classification tool that supports document parsing, multi-level auto-categorization, and natural language search, ideal for students and office workers managing large volumes of files）

Backend chatbot server for SIH

LLM Agent with LangGraph and Docker for executing the agent's code in a containerized environment.

A simple Agent compatible for avalai.ir api

A Streamlit-based Retrieval-Augmented Generation (RAG) application using DeepSeek, FAISS, and LangChain to answer natural language questions from uploaded PDF documents.

Universal schema-based runtime for prompts, skills, and AI composition. Framework-independent, portable, and enterprise-ready.

Claude Code 중심 로컬 전용 LLM Wiki — 3층 격리 + Neo4j GraphRAG + Obsidian. Karpathy LLM Wiki 원전부터 GraphRAG PoC 까지 11가지 관련 내용 통합. /install 한 줄 셋업, 8 Skills + 5 Hooks + 4 Routines.

About ChatWithDB: Transforming databases into conversational partners using LLMs and Django Rest Framework API. Accepts user input, finds similar database entries, and crafts human-like responses from LLMs. Supports multiple databases.

Implement LangChain RAG to chat with PDF with more accuracy.

Retrieval-Augmented Generation (RAG) system over a code repository for a question-answering task

PipelineAgentService is a large language model (LLM)-based application designed for the automated management of data processing tasks.

A simple Python-based chatbot service using FastAPI, LangChain for embeddings, and PostgreSQL with pgvector for storage.

Este projeto é um chatbot construído com Streamlit e LangChain, que utiliza a técnica de RAG (Retrieval-Augmented Generation) para responder perguntas baseadas em arquivos PDF enviados pelo usuário.

Production-grade Recursive Language Model (RLM) agent — gives an LLM a sandboxed Python REPL, sub-LLM recursion, vector search, grep, and divide-and-conquer tools to reason over ingested PDFs. Built with FastAPI, LangChain, Qdrant, and OpenRouter.

Python SDK + MCP Server + LangChain Tools for Oasyce — on-chain AI agent economy. pip install oasyce-sdk[mcp]

This is a demo project showing how to build a simple AI powered "Chat with RSS"

Yet another implementation of task-driven autonomous agents

唐诗三百首RAG检索增强生成

This tool is a web application that utilizes Streamlit and OpenAI language models to enable users to interact with website content through a conversational interface. Users can enter the URL of their desired website, pose their questions, and receive precise and relevant answers.

Convert natural language to shell commands directly in your terminal.

AI project on Healthcare emergencies demand immediate and precise intervention. This is quick, accurate and guidance critical in saving lives. This project focuses on AI-powered system specifically designed for healthcare emergencies, enabling efficient, real-time responses through both voice and video calls.

Este projeto foi desenvolvido para oferecer uma introdução prática e acessível ao desenvolvimento de agentes inteligentes utilizando o framework LangChain

A Python-based documentation assistant that uses local LLMs to crawl websites, process content, and provide intelligent Q&A capabilities with source citations.

This project contains the code and documentation for an autonomous AI agent that classifies, enriches, and scores inbound business leads. It is built with a FastAPI backend, a LangGraph agent workflow powered by a local Ollama LLM, and a Streamlit frontend for demonstration.

Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.

Blazy is an AI assistant to learn about any markdown documentation through a question-answer interface. Blazy-build is the API exposing the model.

Experience seamless document comprehension with 'Online PDF Summarizer App,' featuring the advanced LaMini-Flan-T5-248M model, Langchain, and Streamlit. Effortlessly distill business PDFs, transforming lengthy content into concise summaries for enhanced productivity and insightful decision-making

Give a short description and create an entire scenario!

Script leveraging RAG (Retrieval-Augmented Generation) for Question Answering tasks.

基于LangGraph的智能天气Agent，支持自然语言查询和动态React UI组件生成。

CorpGuide AI Backend: An intelligent HR Policy Assistant powered by RAG, Groq, and LangChain. Features a FastAPI server, ChromaDB vector search, and self-healing database logic for context-aware document retrieval.

Python toolkit that lets your LangChain agents automate Taiga: create, search, edit & comment on user stories, tasks and issues via the official REST API.

AI research application

A code sample that shows how to use 🦜️🔗langchain, FAISS and a hosted LLM endpoint to do Q&A about 500+ movies in the Kaggle Rotten Tomatoes Top Movies dataset

📆TimetableGPT use the power of LLM to allow you to ask questions about your timetable and get accurate answers to help you manage it so that no schedule will overlap each other.

Farmers' own virtual farmer

A LLM-powered RAG application designed to answer any query related to the Harry Potter series.

Otodom scraper and information retrieval

A novel approach to mitigating social bias in Large Language Models through a multi-judge pipeline that assesses and filters reasoning steps of DeepSeek-R1.

Learn how to deploy your swarms applications on cloudflare workers

A Chatbot made to go on Discord and OLLAMA

基于本地大模型+RAG的知识库问答系统

Bulk Email Sender with Personalized Content This project is a bulk email sender built using Streamlit and LangChain's ChatGroq model to generate personalized emails for each recipient. The emails are customized based on the client's name and the services they offer, such as E-commerce, Digital Marketing, etc.

This is a basic RAG chatbot made using LangChain, Streamlit, FAISS, Cohere's embed-english-v3.0 and OpenAI's gpt-3.5-turbo or Cohere's command-r

Natural Language Query Agent over some web data and some pdf which has conversational memory using Groq Cloud API