Python agents

An AI-powered interview practice agent that simulates real interviews, asks contextual follow-up questions, adapts to user behavior, and provides detailed feedback using Groq Llama 3.1. Built with FastAPI and JavaScript.

BuddyQ is a fully local AI voice assistant for Windows that runs on your own hardware. It uses faster‑whisper, Piper TTS, and an OpenAI‑compatible local LLM (LM Studio or llama.cpp) to provide private, always‑on voice control with web search, timers, notes, weather, and screen/vision tools. No cloud, no API keys, no subscriptions!

Everything you need to make an AI autonomous. One file. Production-tested.

A local, private AI research agent using LangGraph and Ollama that autonomously utilizes web search and Wikipedia to provide structured, memory-aware answers to complex queries.

Whitefurry are an AI builded on Python and it is simple and he will be big every update and he learn from you & using that app make me happy and update it every 2week

🎯 14-Dimension AI Agent Intelligence Assessment | 14维度 AI Agent 智能度自动评估技能 | OpenClaw Skill | Aligned with CLEAR/T-Eval/Anthropic standards

Self-growing tag-dictionary RAG for any device. Zero dependencies, no GPU, no vector DB. pip install sandclaw-memory

Claude Code skill: convert HTML slide decks to editable .pptx. Unlike most converters that flatten each page into one image, this keeps text as native PowerPoint textboxes; only gradients / shadows / filters fall back to local snapshots.

An advanced, auditable OpenClaw-based self‑evolving agent framework with practical, human‑centered workflows.

Local LLM gateway for Apple Silicon. Works with OpenClaw, Hermes Agent, Claude Code, and Codex (AIRun). No Ollama or LM Studio required.

跨平台达人发现 Skill for AI Agents — 小红书/抖音/B站/YouTube 自动搜索 + 深度内容评估

SmartEmailBot is an AI-powered solution that handles your email workflow. It automatically filters spam, summarizes important messages, drafts responses for your approval, and lets you compose new emails with simple commands.

DeepSeek drives Claude Code so you don't babysit every prompt

Turn any company URL into a strategic intelligence brief. Adaptive scraping + AI-powered research and synthesis.

The missing protocol between user requests and AI actions. Standardized intent parsing for every AI system. Converts any input into [Motive] [Scope] [Priority].

Practical AI agent skills for Codex and Cursor, starting with website capabilities to API-first skill generation.

Archived model for a constraint-native local AI runtime exploring energy, rhythm, coherence, and persistent behavior.

A hyper-personalized multi-agent AI assistant with a virtual pixel office.

Comprehensive Garmin Connect health data skill for OpenClaw — 40+ metrics including sleep, HRV, stress, body battery, SpO2, VO2 Max, training status, race predictions. 一个面向 OpenClaw 的 Garmin Connect 全量健康数据 Skill，可获取 40+ 项健康指标并让 AI 助手直接查询。

AI 에이전트를 위한 소리 노트 — 실시간 한국어 음성 전사 CLI

通用主题舆情雷达 · Telegram/RSS/Twitter/Reddit 信源 + LLM triage 告警 + 深度报告 · 4 service + 3 AI advisor 架构

A sophisticated multi-agent system designed to handle customer queries related to InfinitePay services through intelligent routing and specialized agent responses.

Project exploring RAG LLM agents

A Query-Answer chatbot for PDFs using local Large language and Embeddings models. Please read this readme fully before using.

An MCP server for real-time financial market data. Access stock prices, options chains, and technical analysis tools via conversational AI

An open source credit management system ( library or as server api with any framework]

Debate-native multi-agent AI framework that eliminates LLM hallucination, overconfidence, and opacity. Structures knowledge evaluation as adversarial multi-round debates over a Conceptual Debate Graph (C-DAG) with Bayesian aggregation, CRUX protocol, 8 novel Evolution extensions, 27+ LLM providers, 50+ tools, and W3C-compliant provenance tracking.

LLM-driven autonomous agent for automated spectral energy distribution (SED) modeling and interpretation of multi-band galaxy observations using CIGALE.

Temporal Layered Context Memory (TLCM). The architecture for AI that treats memory as a living timeline instead of a flat filing cabinet.

A procedurally generated dataset of cryptographic CTF challenges for training and evaluating LLM agents with Reinforcement Learning.

a basic proof-of-concept implementation of https://python.langchain.com/docs/use_cases/question_answering/

An AI-powered value investor. Actively trading daily. Public performance tracking.

一个交互式 AI 工作流控制系统框架的早期预览分支。 / Preview fork of an interactive AI workflow cybernetics framework.

A Python-based agent showcasing the use of Google's Gemini 2.0 Flash Thinking Experimental model to reason by combining search results with user queries

Octomind Agents Registry

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.

LLM plays a MUD and trains a world model based on the MUD

📧 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.

Cross-source AI memory & knowledge weaving system (Multi-source + RAG + Knowledge Graph + Persistent Memory + MCP/Agent/Skill + LLM Wiki) || 跨源AI记忆与知识编织系统（多格式文件 + RAG + 知识图谱 + 永久记忆 + MCP/Agent/Skill + LLM Wiki）

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.

Updated version of OmniBot

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

StudyBuddy is an open source, RAG-based AI assistant that lets you query, summarize, and interact with your documents—built as a developer-friendly alternative to Google NotebookLM.

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.