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Python agents
55,101 Python AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Python agents — page 246 of 552
Skill as agent(s)
ION: Context engineering & agent governance
A lightweight MCP server for LinkedIn automation. Supports profile, job, company and post scraping. Enables post creation, reactions and media upload for agent workflows
P2P pub/sub transport for AI agents. IPFS gossipsub + Ed25519 + eventual consistency. No central broker.
Bridge any chatbot to any AI coding agent via Linear — flip a ticket to "AI Implementation" and the executor runs your chosen CLI (claude / opencode / codex / gemini / forge) in a worktree; results post back as Linear comments.
PA3 stands for Python-as-an-Agent
Agentic, tool-by-tool malware analysis driven by a local LLM (Ollama). Designed for FlareVM environments. No cloud dependencies.
Demonstrates structured logging of Agentic AI calls to MCP servers, building a Phishing Triage Assistant as an example
Structured study materials, notes, and examples for mastering the OpenAI Agents SDK
This repository contains a minimal chat agent that uses OpenAI's API to engage in a conversational loop, retain history, and apply basic input validation and output sanitization.
Simple stupid LLM based CLI Agent
Open-source Python framework to deploy AI agents via HTTP, A2A, and MCP with built-in observability
An airline customer service AI agent demo built on AWS Bedrock AgentCore with Strands Framework, featuring Gateway policy enforcement and Memory (STM/LTM). 基于 AWS Bedrock AgentCore 构建的航空客服智能代理演示系统。
OpenClaw operations lane with agent tooling, automation patterns, and deployment support utilities.
6-layer agentic AI pipeline for autonomous Linux management: NLP intent parsing, risk policy gating, safe execution, and SQLite audit log
AI Coding Agent, Agentic Harness, Semantic Code Search Engine
🦾 Enable autonomous research and synthesis with Gemini-Claw, a platform that analyzes, gathers, and controls data to deliver precise answers effortlessly.
Open-source gateway and community to make AI agents interoperable using Google's A2A protocol – like Hugging Face, but for agents.
made by Hmida71
Open-source vision stack with stereo camera hardware, GPU processing, and AI agent for training video classifiers.
Agentic AI system that ingests PSX market data and financial news, resolves conflicting signals, and constructs a justified investment portfolio with simulated execution.
A Deep Learning model for Limit Order Book price prediction
An agentic RAG framework in Python, developed as the thesis project for a Master in Data Analytics. Based on the Linden library.
AgentNull: AI System Security Threat Catalog + Proof-of-Concepts. Collection of PoCs for using Agents, MCP, and RAG in bad ways.
🔍 Accelerate research using a Multi Agent System for efficient context engineering with DeepAgent and LangChain's library.
AI-powered tool that reads, summarizes, and checks compliance of insurance-related documents (PDFs, images, scans).
A travel agent python app built with LlamaIndex framework using GPT model from OpenAI to be run locally or on CI/CD with Github Actions
AI-powered customer support assistant designed to handle food delivery complaints efficiently. Built using LangChain, RAG (Retrieval-Augmented Generation), PostgreSQL, and email automation, the chatbot provides empathetic, context-aware responses to customer queries regarding order status, payment issues, and refunds.
AIsha: Your personal multimodal AI agent! 📱🗣️🖼️🎤 Powered by Groq (Llama 3), Qdrant, Cloud Run, LangGraph, ElevenLabs, and Together AI, AIsha can send/receive WhatsApp messages, understand voice/images, send voice notes/image updates, and recall long-term memories. Run it for free on your own computer or affordably on Google Cloud Run!
CRDFAgent is a modular Python framework for multi-step question answering, combining clarification, routing, decomposition, retrieval, and aggregation to deliver accurate, reproducible answers for complex tasks like financial document QA.
Compound AI System for Journals – Automation API (AI Agent) A FastAPI-based automation system for creating, enriching, and managing journal articles. It integrates Google Gemini, Groq’s LLaMA, and the CORE API to deliver a seamless pipeline — from metadata input to fully structured, AI-generated journal outputs.
Multi agent automatically reviews Python code for security vulnerabilities, performance bottlenecks, stylistic errors, and semantic issues.
An Identity, Security, and Governance Framework for autonomous agents
Discovering, comparing, and installing skills in AI agents.
A practical field guide to building reliable, evaluable, and production-grade agentic AI systems
🚀 An intelligent multi-agent platform for analyzing software project requirements, generating technical specifications, and delivering project strategies — powered by OpenAI agents working in synergy.
Semantic fingerprints for token-efficient and fast code search.
A Python dictionary that uses semantic similarity for key matching instead of exact matches. This library allows you to retrieve values using keys that are semantically similar to the ones stored, making it ideal for natural language interfaces, etc.
Libra Context is an unified context orchestration engine designed for AI agents and LLM applications. Libra provides efficient knowledge management and retrieval. Built with local-first mindset, featuring both CLI and API interfaces, Libra helps agents maintain relevant context across conversations and tasks.
This repository contains the full hands-on material used in the Google Vertex AI Agent Workshop Series, delivered during the Tunisia AI Universities Tour 2026 . It demonstrates how to build agentic AI systems step by step, starting from a local AI agent and progressing toward cloud-scale agentic workflows on Google Vertex AI.
A fully autonomous multi-agent system for end-to-end data analysis. Upload any CSV → Agents perform Profiling → EDA → AutoML → Verification → Notebook Generation → Gemini Insights.
Deep dive into ANYTHING!
Empirical testing of agentic docs consumption
An ai agent that critically reviews PRs
Local-First AI Research Assistant for ArXiv Papers - Built with Praval Agentic Framework (pravalagents.com)
Multi-Agent, Plugin-First Framework
A tool-augmented agent (LangChain, RAG) that functions as a hyper-personalization engine. It autonomously creates adaptive travel itineraries by integrating 5+ real-time APIs for complex, multi-step problem-solving.
Interactive NBA Analytics app with Streamlit and a LangChain conversational agent connected to extracted data. Explore player, team, and game stats, track injuries, run simulations, visualize trends, and get AI-powered insights. Ongoing development, open to collaboration.
Event-driven Agentic AI demo for healthcare using InterSystems IRIS for Health and FHIR
A secure email gateway MCP server that protects AI agents from prompt injection attacks hidden in emails.
A search-first global intelligence platform for understanding what is happening in the world, why it matters, and what it could impact next.
🗣️ Build an interactive voice agent that leverages Speech-to-Text, a Large Language Model, and Text-to-Speech for real-time voice interactions.
A production-grade demo of a multi-agent system showcasing Agent Communication Protocol (ACP) and Model Context Protocol (MCP) capabilities through a collaborative research workflow.
A modular Python library for synthesizing tool-calling datasets from JSON tool definitions using an LLM-as-a-judge pipeline. Designed for OpenAI-compatible APIs.
Infrastructure for Web4 Autonomous Agents.
An autonomous Morning Briefing agent built with Gemini 2.0 Flash and the Model Context Protocol (MCP). Features proactive reasoning, multi-turn tool use, and local-first privacy
A personal learning project focused on building Agentic AI systems using the OpenAI Agents SDK.
FreeU 是AI的文件收纳师
AI-powered system that analyzes Freelance contracts using AWS services.
🤖 Enhance programming education by fine-tuning the Phi-3 Mini model to deliver well-structured, documented code responses, ensuring best practices in coding.
Code developed during Hackathon "MIT Global AI Hackathon 2025".
The Phidata Video AI Summarizer Agent revolutionizes video content analysis by offering fast, AI-driven summarization and insightful query-based information retrieval. Built with the advanced capabilities of Google’s Gemini 2.0 Flash Exp and integrated with Phidata,
🐣 TinyAgent that thinks in python and execute it in the cloud with extendable hooks
AI-Powered Multi-Agent System for Smart Kitchen Renovation. Built with Vertex AI, ADK, MCP Toolbox, and Gemini 2.5, this project simulates intelligent collaboration between agents to optimize kitchen renovation tasks.
Master Edition: A resilient, self-healing Multi-Agent AI Operating System. Features autonomous task orchestration (Navigator, Curator, Evaluator), Glass-Box observability, and a custom Circuit-Breaker auto-failover pattern (Gemini 3.0 → Llama 3/Qwen) for guaranteed 100% uptime.
AI agents - performance comparison using major LLMs.
prompt to SQL, NoSQL and GoogleDrive task executing agent
A self-healing AI orchestration layer that enforces deterministic validation and security over LLM pipelines to prevent hallucinations and unsafe outputs.
The Open-Source AI CFO — Analyze, recommend, and execute.
A multi-agent restaurant food ordering system using Semantic Kernel, A2A and Azure OpenAI. Includes a backend agent server, customer chat API, and sample UI for natural language food orders. MIT licensed and open for contributions.
Workflow-oriented Kubernetes MCP for AI agents. Deploy, diagnose, and operate clusters with less manual kubectl.
An agentic AI travel planner using local LLMs (Ollama), tool orchestration, preference-aware scoring, and human-in-the-loop booking handoff.
A travel agent python app built with CrewAI framework using GPT model from OpenAI to be run locally or on CI/CD with Github Actions.
An AI agent to resolve IT tickets using Google's ADK
Equip AI agents with internet access to gather real-time data from restricted or hard-to-reach online sources.
An autonomous, state-persistent recovery agent for stranded travelers. Powered by MongoDB Atlas Vector Search & LangGraph.
Cas d'usage application vision de reconnaissance de vêtements modèle CNN (référence dans la reconnaissance) + recommandations de vêtements à la demande.
Multi-agent AI system built with Google ADK and Vertex AI Agent Engine - 7 specialized sub-agents for university advising
An intelligent coding agent that understands your codebase, fixes bugs, refactors code, and explains architecture.
The agentic DebtGuardian codebase for the IPN project TechDebtOps
Experiment with SLMs in a multi agent football management team
A non-contact LLM-driven reading assistant with device-edge-cloud collaboration
Open protocol for runtime budget and action authority over AI agents
The Unofficial MCP Server for New Relic
Voice-enabled AI productivity assistant with chat, automation tools, and integrations for daily digital workflows.
News about any topic, already digested for you📰
Local voice AI assistant with long-term memory + web search agent, all on-device
Sistema de desenvolvimento de software orientado por agentes de IA que automatiza e coordena todo o ciclo de vida do desenvolvimento.
A compact language for AI workflows. One symbol (@) separates AI logic from code. Includes an AI-readable spec and a pure-Python runtime (kzl)
🔍 Empower data scientists with DeepAnalyze, a tool that leverages large language models for automated data analysis and insights generation.
LLM function calling library
Local Python tools to automate YouTube video processing and subtitles
High-performance FastAPI-based agentic RAG system with Ollama LLM integration and comprehensive tool calling capabilities - v1.0.3.21 Production Ready
A high-fidelity, local-first MCP server and protocol for storing, versioning, syncing, and evaluating AI agent prompts and skills
Hands-on lab material for Agentic AI bootcamp.
CLI for managing tmux sessions running AI coding agents
Negotiation tournaments for delegated AI agents
All reasoning is stored in git. No external server. No database. No account. No hosting. Any developer on any system pulls the latest commits and gets the full reasoning history. Any future AI agent reads it before modifying shared code. It works through GitHub, GitLab, Bitbucket, or any internal git host at Google, Amazon, or anywhere else.