Python agents

⭐ College.ai is an advanced AI-powered platform that provide a set of tools for students, job seekers, and professionals.

An innovative AI conversation API leveraging Google's Gemini for multimodal understanding. Combines FastAPI, Langchain, and Redis for robust, scalable, and privacy-conscious text and image-based interactions

Langchain Agent utilizing OpenAI Function Calls to execute Git commands using Natural Language

A crew of ai agents for extracting data from Jira boards, generating reports and request follow ups on slack.

autonomous agent with access to a tool library

Telegram MCP server with HTTP-MTProto Bridge — direct API/curl access, multi-user Bearer auth, Docker, MTProto proxy, file attachments, voice transcription, context-optimized

yt-chat is a tool designed to help you summarize any Youtube video.

download and view the contents of a GitHub repository or a ZIP file as a single text file

🌟 OpenAI Assistant Builder & Sharer: Democratize AI Access Empower your AI journey with our cutting-edge repository! Build, share, and monetize AI assistants effortlessly using OpenAI's robust capabilities. Access an intuitive API, integrate custom functions, and retrieve data seamlessly. Join us in democratizing AI for everyone.

Fuzzy-JSON is a compact Python package with no dependencies, designed to address the pesky JSONDecodeError that sometimes occurs when utilizing OpenAI's powerful call function.

A quirky agent

Cappuccino is an GUI Agent based on desktop screen. It is a Manus-like AI Agent that can be deployed locally.

An environment for testing AI agents against networks using Metasploit.

An AI agent Learning to play Flappy Bird using Evolution Strategies and deep learning models.

Run AI coding agents like Cursor, Windsurf, and Claude Code via code and let them implement features all the way to a pull request

Code for the paper "Aligning LLM Agents by Learning Latent Preference from User Edits".

Ein multimodaler, multi-intelligenter Entwicklungsrahmen

Multi-agent Trajectory Prediction with Fuzzy Query Attention

This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralized critics can be realized in RLLib. This example serves as a reference implementation and starting point for making RLLib more compatible with such architectures.

Automatic agentic story generator.

Archive of Indy Reference Agents and Tools. Superseded by the Hyperledger Aries Project.

worker agent API for processing data for Menome Knowledge Vault

Minimal code for A Generalist Agent

My attempt at making a GPT agent for pentesting

Very minimal (and stateless) agent framework

Speed up image generation and improve image quality using Agent Attention.

Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]

30 ready-to-deploy OpenClaw agent packs — Sales, Engineering, Marketing, Legal, Finance, Customer Support, and more

The first Open-Souce RAG-LLM tool to analyse macroeconomic data and forecasts 🦜🔗

A cross platform application to allow use of ChatGPT through mobile MMS applications such as iMessage and Android

Integrate browser-based ChatGPT with dingtalk chatbot.

AI-powered knowledge management and question-answering system

A Python-based AI agent chatbot used for generating service proposals based on your own pricing information 🤑

Transform Python functions into remote tools for AI agents

BTC Fear & Greed Index powered by MiroFish/OASIS multi-agent simulation. 500 AI investors simulate panic contagion dynamics.

Multi agent reinforcement learning for intelligent active matter

[NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"

(1)使用低代码平台N8N实现对多个微信公众号文章进行自动采集并保存到本地文件 ; (2)使用主流的开源云原生向量数据库milvus将采集到的数据存储到知识库中并满足语义搜索、全文搜索及混合搜索; (3)将搜索功能封装为标准的MCP Server对外提供服务;(4)大模型(Agent)使用搜索MCP Server进行内容搜索

ML-Dev-Bench is a benchmark for evaluating AI agents against various ML development tasks.

一个高性能的qqbot

A straightforward Python guide demonstrating how to build a local, agentic AI assistant using Gemma 4, Ollama, and real-time API function calling.

DocChat is an AI-powered Multi-Agent RAG system using Docling for structured document parsing and BM25 + vector search retrievers to retrieve fact-checked answers from PDFs, DOCX, and text files, preventing hallucinations. 🚀

🍏 Gemini 🍎 ChatBot 🥭 is an 🍍 advanced 🍑 intelligent 🫒 conversational 🍅 agent 🥞 designed 🍘 to deliver 🦀 human 🏘 like 🏯 interactions 🏫 powered 🏩 by Large 🏦 Language 🏟 Models 🚂 Natural 🚞 Language 🚋 Processing 🚃 and 🚁 real ✈ time 🛫 contextual 🛸 reasoning ⛴ It provides 🚝 a seamless 🚒 and 🛼 responsive ⛱ chat 🎮 experience 🥎

ChatGPT in your terminal, no OpenAI API key required

Cross-platform patcher for enabling Claude Code --channels support on official binaries and installs.

The Quantum Agent Manager as described is a comprehensive solution that marries quantum optimization with multi-agent AI.

基于MCP协议和LangChain框架实现的企业级AI多Agent多模态系统，包含RAG技术增强的知识检索能力。

Claude Code's compaction engine, as a drop-in DeepAgents middleware

Autonomous AI agent for Crustocean, powered by Hermes Agent from Nous Research

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

Live2D + ASR + LLM + TTS → Real-time communication + Offline Deployment/Cloud Inference 实时沟通 本地部署/云端推理

AI Harness Engineering Template — guardrails, gates, and boundaries for AI coding agents. One-command install. Zero dependencies.

This is the repo for the paper A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

An Agentic Data Preparation Framework for AGI-driven Scientific Discovery

A curated list of tools, frameworks, patterns, and research for AI-driven and agentic approaches to modernizing legacy systems

PiloTY: AI pilot for PTY operations via MCP - enables AI agents to control interactive terminals like a human

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.

Automatos AI: Open-source platform for advanced context engineering and multi-agent orchestration in enterprise automation. Built on frontier research in RAG, vector embeddings, cognitive tools, emergent symbols, and neural field theory—powered by FastAPI, Next.js, and PostgreSQL.

Personal AI agent harness powered by Claude Code. Always-on access through Discord, Telegram, or a built-in web UI.

An AI agent that controls your Flipper Zero that uses PyFlipper, LightLLM, RAG, and can connect to your local Ollama instance!

Give your AI agent eyes and hands on any desktop — cross-platform accessibility API with MCP server

AI Agent Skills for Google Play Console CLI (gplay)

The self-evolving agentic framework for bioinformatics

Build AI agents with Google's Agent Development Kit (ADK). 20 modules from basics to advanced topics.

🕵️‍♂️ Privacy-focused AI job scraper, local storage, and interactive dashboard. Auto-scrapes AI/ML roles from top companies using ScrapeGraph-AI + LLM and LangGraph Agents, filters for relevance, and provides a Streamlit UI for tracking applications. Built for developers seeking AI careers.

Model Context Protocol (MCP) server that connects AI agents (Claude, Cursor, etc.) to Wolfram Mathematica for symbolic computation, visualization, and notebook manipulation.

AI made building cheap. It didn't make deciding cheap. Mycelium is a Claude Code harness that makes your agent run discovery and weigh evidence before it writes code. It earns the right to start. Built for software, courses, AI tools, and services.

Example code/configs for all frameworks (CrewAI, kagent, ADK, etc.), MCP, fine-tuning, and AI gateways

《从0开始构建 AI 智能体》 一本带你亲手打造属于自己的AI Agent 的实战书

Learn how to write code-based agents using Python, JavaScript and well-known industry standard frameworks. Learn how to deploy your code-based agent to SAP BTP, Kyma runtime, orchestrate them using Joule and integrate into the SAP ecosystem.

《Skill 蓝皮书 2026》· 基于 61,776 条 Skill 数据的原生研究 · AgentSkillsHub 出品 · 54% 0 star · 基尼系数 0.983

Obsidian AI is an open-source platform that gives you a full visual interface for building, managing, and running AI agents — no SDKs, no boilerplate, no glue code required.

A neuro-symbolic runtime architecture (DIR) for Responsibility-Oriented Agents (ROA). By decoupling probabilistic LLM reasoning (User Space) from deterministic execution (Kernel Space), it ensures safe, invariant-driven, and auditable AI autonomy.

🦞 AI 量化交易系统 — 37 因子选股 · 8 层风控 · 同花顺数据大屏 · 全自动盯盘

Local semantic copilot and governed agent engineering runtime for AI-assisted software delivery.

Anime-themed personal assistant and goal-oriented intelligent agent

Self-hosted DTLN noise suppression plugin for LiveKit Agents — no cloud API, no per-minute fees

Adversarial, deterministic benchmarking for AI agent skills — measures whether a skill makes the agent measurably better. Includes biomedical eval cases.

Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients

LSAP (Language Server Agent Protocol) is an open protocol that defines how AI coding agents interact with Language Servers

AI runtime for creating, running, and supervising background AI workers.

Hands-on lab: Get Started with Models in Microsoft Foundry — From First Inference to Deployed Agent (Microsoft Build 2026, LAB520)

The spend meter and budget gate for AI voice agents. Meters STT + TTS + LLM + telephony per call, out of the box (Pipecat, LiveKit — Python & TypeScript). Hard-stops the next turn before it crosses your ceiling. Local, no account, no telemetry. Built by Floe — cost controls for Voice AI.

企业知识库 RAG 智能问答系统

基于 LangGraph + Flask 的 AI 剪映视频剪辑助手（Agent），通过对话式交互与剪映(CapCut)集成，使用自然语言完成智能视频制作

An autonomous photonic device design agent iteratively optimizes silicon photonic devices — no human in the loop.

100+ institutional-grade CRE skills for Claude Code, Desktop, and Cowork. Deal screening, underwriting, structuring, capital markets, asset management, leasing, investor relations, development, disposition, and daily ops. 50+ expert agents, 12+ Python calculators, 10+ orchestrator pipelines, catalog-driven routing.

Swift-focused AI agent skills for iOS and macOS: build, debug, simulator, SwiftUI, Xcode, App Store workflows. Part of Plug'n Skills.

A lightweight, general-purpose harness for tool-using LLM agents, fair benchmark evaluation, harness baselines, and personal assistant workflows.

LangChain RunnableParallel example: Research a company by running API calls in parallel. Demonstrates RunnablePassthrough.assign, partial failure handling, and a canonical Pydantic schema as the retrieval layer output. Production-ready pattern for parallel data collection in LangChain.

AI-driven Azure operations workbench. Chat with your tenant, investigate incidents with a team of specialist AI agents, and assess, monitor & remediate your cloud — runs in your own subscription. One-click deploy.

An AI Multi-Agent memory system that remembers your code style, fixes, and preferences — for Hermes-Agent.OpenClaw,Opencode,Claude Code, etc.

Kraivor is an AI-powered system that analyzes real-world codebases and simulates how they behave under production stress, failures, and scaling conditions.

IBL AI Agent helps you use a coding agent such as OpenAI Codex to analyze International Brain Laboratory (IBL) data.

A collection of skills for agentic LLM tools

多Agent智能合同审查系统 Python/Java/Go