Python agents

SwarmMind — Swarm Intelligence Engine for AI Agents.

Substrate examples

AI-Powered Appointment Scheduling Assistant (LangGraph v1+)

A single-file multi-client MCP gateway with per-tool access control.

An MCP server 🚀 for MonkDB, licensed under Apache 2.0 📜

A lightweight AI agent that answers natural language questions about APIs using their official documentation. It leverages vector embeddings and Retrieval-Augmented Generation (RAG) for accurate, context-aware responses.

📊 Transform research papers into professional slides and posters seamlessly and quickly with Paper2Slides, saving you valuable time.

A lightweight dashboard to view and analyze test automation results. Built with Streamlit + PostgreSQL, and powered by AI (Gemini) to help debug test failures faster.

A starter template for building powerful, local, tool-calling LLM agents using LangGraph and llama-cpp-python

Handcrafted ReAct Agent Engine | Supports FS / web page / weather query + code sandbox, including observability + visualization tools, focusing on circular thinking detection and task quality optimization

An autonomous AI security agent capable of performing end-to-end penetration testing. Orchestrates network reconnaissance, vulnerability assessment, and exploitation using a multi-agent architecture and local large language models.

A project exploring agentic AI for Visual Question Answering. Compares zero-shot VLM performance (Transformers) against advanced pipelines using OpenCV (tool-use) and Chain-of-Thought (reasoning).

Cost-aware hybrid router for multi-agent LLM systems: keyword → embedding → LLM cascade. 88.1% accuracy on CLINC150 with 53% fewer LLM calls than full-LLM routing.

Auditable benchmark framework for LLM trading agents with replayable trajectories, realistic execution, risk gates, and quickstart demos.

A modular framework for evaluating LLM agents in zero-knowledge text environments through semantic feedback and autonomous reasoning.

Do LLM Agents Dream of Better Hyperparameters? Comparing 5 frontier AI agents as autonomous ML researchers on Karpathy's autoresearch framework. 819 experiments, 7 hypotheses tested.

[SSBSE'25] This repository provides the artifact for the "KrakQL: LLM-Guided Blind Introspection of GraphQL Schemas" paper

Drop-in convention kit that enforces honest reporting in repos using LLM coding assistants — CI validators, smoke gates, PR templates, and schema-drift checks to stop scaffolds from shipping as features.

Semantic mistake-memory and guardrail for AI agents. Stops agents from repeating the same failures using causal graphs and semantic matching. Supports MCP, LangGraph, and in-process Python.

khojkar (pa: ਖੋਜਕਾਰ) is a deep research agent

LLM-driven autonomous power grid simulation and optimization using ExaGO. Large language models iteratively propose parameters, run simulations, and interpret results to solve complex grid analysis tasks.

Multi-agent due diligence pipeline that researches companies in parallel, producing a canonical JSON report with per-claim confidence, inferred source tier, and full cost/token observability. Markdown and PDF derive from the JSON. Built for provenance, auditability, and programmability over narrative polish.

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.

Markdown-first, local-first memory architecture for AI agents with lifecycle, distillation, and human-readable memory artifacts.

Persistent Anticipation Layer for LLM Agents — Pre-compute possible futures during idle time for faster, cheaper and more proactive decisions. Bio-inspired temporal awareness (short/medium/long-term horizons).

Provide tamper-proof, CMMC-compliant execution receipts that document AI agent actions in regulated environments for clear accountability.

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization

Multi-Role AI Task Orchestrator — One task → 7 AI roles → One conclusion. Enterprise-ready with RBAC, Audit Log, Multi-Tenancy.

This repository contains a stateful AI shopping assistant for JD.com, implementing multimodal product search (text + image OCR) with LangGraph state management. Features Playwright automation, Gemini/Qwen-VL integration, and Gradio UI.

Agentic Design Patterns for LLM Workflows — A curated collection of reusable, modular patterns for building robust and autonomous LLM-powered agents, covering multi-agent orchestration, memory, prompt flows, and tool integrations

Deterministic, self-improving AI agent execution harness and runtime for the AXIOM ecosystem. Enforces plan-deterministic execution, parallel swarm orchestration, and signal-level sandboxing.

pm-agent (Octopus Assistant / 章鱼助手) — a multi-agent dev orchestrator that, like an octopus, dispatches tasks across multiple coding CLIs (Claude Code / Codex / Gemini) in parallel.

Create AI agents from urls or a documents csv file.

Developmental lifecycle architecture for AI agents: childhood stages, mortality, sealed wisdom distillation, soul persistence, and relational witnessing. From mountain night shifts to open garden.

Standardized Test Case Generation for LLM Agents via Model Context Protocol. Bridging the gap between AI and QA (Xray/Jira).

Qualitative benchmark suite for evaluating AI coding agents and orchestration paradigms on realistic, complex development tasks

A framework for supervising reinforcement learning agents using large language models.

AI-driven trading agents for financial markets

An automated AI research-code writer and AI research-paper writer implementation through a skills+ autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.

Background coding agents that execute, review, and land work unattended.

Research constitution and specification framework for comparing independently governed AI judgments without transferring authority.

A growing collection of AI projects exploring LLM, Agents, RAG using LangChain, Gemini, open-source models, and more. Dive into cutting-edge use cases and collaborate to create the next big AI innovation!

Just A Rather Very Intelligent System.

Kazi Core is a self-hostable, open-source agentic engine. Plug in your own tools, run on your own infrastructure, and keep full control of your data.

Lightweight Personal AI Assistant for Git & GitHub in your CLI

A running multi-task multi-data terminal science benchmark for LLMs in GW astronomy

Toolkits for pydantic-ai agents: FS, SQL, pandas, memory, RAG.

AI-powered financial news analysis capabilities.

🎭 3 AI agents roast your city's weather & pollution in sarcastic Tamil meme style! Built with CrewAI, Open-Meteo APIs (free), and Groq/Gemini/OpenAI/Ollama. Part of the AgentVerse series by @explainpannu.

This project is an ATS Resume Agent that optimizes resumes for Applicant Tracking Systems. It uses Flask + CrewAI backend to clean, rewrite, and evaluate resumes against job descriptions, and a Next.js frontend to present polished resumes, ATS scores, missing keywords, and actionable recommendations in a user-friendly interface.

Website Builder using Agentic AI

Catalogue technique des bugs critiques en architecture multi-agents IA. 11 fiches longues disponibles sur le site dedie.

Welcome to the LatestAiDevelopment Crew project, powered by crewAI. This template is designed to help you set up a multi-agent AI system with ease, leveraging the powerful and flexible framework provided by crewAI. Our goal is to enable your agents to collaborate effectively on complex tasks, maximizing their collective intelligence and capabilitie

A modular, agent-driven pipeline to discover trending companies in a specified sector, perform in-depth financial research, and select the best investment opportunity. Built using the crewai framework, this project orchestrates multiple AI agents—each with clear roles and tasks—to automate the end-to-end stock selection process.

ChainWise is an AI-driven fullstack platform designed to optimize supply chain operations for mid-to-large enterprises. Powered by autonomous AI agents, it monitors, predicts, and manages supply chain processes in real-time, reducing costs, minimizing delays, and improving transparency.

An intelligent multi-agent AI system for stock analysis and investment recommendations, powered by [crewAI](https://crewai.

A.I. automated industry news and insight using CrewAi

security pentest ai crewai llm nmap cybersecurity python multi-agent

This project implements retrieval-augmented NLP pipelines, multi-agent orchestration (including CrewAI integrations), embeddings-based semantic search, and tools for cross-publication literature analysis and insight extraction

Built an interactive stock analysis application using Streamlit that integrates a CrewAI multi-agent system for advanced insights. The app uses Yahoo Finance for real-time stock data and leverages Prophet for time series forecasting, providing users with a comprehensive tool for financial analysis, including recommendations.

Context compiler for agentic AI — token budgets, cache-aware adapters, pytest-style eval layer, JIT references. Framework-agnostic, local-first, deterministic

Agent made with Langchain and CrewAI

AI agents, powered by CrewAI, to analyze recent world events through the lens of themes from George Orwell's *1984*.

Drop-in performance acceleration for CrewAI - Get up to 34x faster serialization, 17x faster tool execution, and 11x faster database search with zero code changes to your existing CrewAI projects.

A framework-agnostic interoperability protocol for Multi-Agent Healthcare AI Systems.

fastapi backend powered by crewai agents for automated research, data retrieval, and synthesis. orchestrates multi-agent workflows for query analysis, information gathering, and summarization.

🤖 Define and execute multi-agent AI workflows declaratively using YAML, simplifying orchestration and enhancing collaboration through automatic context handling.

用大语言模型（LLM）构建agent。

The Lobbying Crew is an AI-powered tool designed to streamline and automate the lobbying process.

Migrated → github.com/zistica/korveo (rebranded). Archived.

A web-based AI agent that generates personalized JEE preparation roadmaps based on a student's current standard, percentage and goals.

Hierarchical Multi-Agent System for Top 5 US Stock Selection

Portfolio showcasing four implementations of an AI agent team task using different frameworks (No Framework, Agency Swarm, CrewAI, and LangGraph). Compare approaches to agent coordination, from basic patterns to complex workflows, all built with Cursor's Agent feature.

Multi-agent AI system using crewAI to automate LinkedIn profile data extraction and analysis.

A lightweight framework for running structured debates with AI agents using the CrewAI library. In a nutshell, you define two “debater” agents (pro/con) and a “judge” agent, wire them together in a Crew, then kick off a debate on any motion.

The identity layer for AI agents: open standard, SDKs, and framework integrations for verifiable agent identity.

Open-source observability platform for AI agents. Trace every LLM call, tool use, and decision in real-time. Supports OpenAI, Anthropic, Gemini, LangChain, CrewAI, LiteLLM, MCP. Self-hosted. Zero dependencies.

TheBlend.ai Website code that create blog content using AI

A sophisticated system that converts natural language questions into SQL queries through a 12-agent pipeline with schema reasoning, self-correction, safety validation, and explainable AI.

AI agent crew that generates institutional-grade crypto market intelligence reports with real-time data from CoinGecko, Binance, SEC EDGAR, FRED and more using CrewAI + 15 MCP servers + Google Gemini.

A Flask-based multi-agent system powered by CrewAI, combining food recommendations, vector search from S3, and conversational intelligence.

Automated user behavior analysis system based on CrewAI multi-agent framework, integrating Google Gemini and Volcano ARK APIs for intelligent GA4 data analysis and business insights

Open-source multi-agent AI think tank platform. Collaborate, research, and generate insights with AI agents. Results stored in Notion and Markdown. Web search enabled.

An intelligent business automation system powered by CrewAI

Easily create and run AI Agents through simple configuration that is based on Crew AI.

This project uses CrewAI agents to automatically convert YouTube videos into high-quality blog articles. By combining intelligent task delegation, tool integration, and multi-agent collaboration, the system streamlines the process of researching and writing blog posts from video content.

An intelligent multi-agent system that automatically generates comprehensive documentation for GitHub repositories using CrewAI's collaborative agent framework.

LifeOps AI v2.0: A cyberpunk-inspired personal productivity suite powered by Multi-Agent AI (CrewAI). Optimize your Health, Finance, and Studies through a unified intelligent command center.

An AI agent which surfs the internet, gathering information about a topic provided and then provides a .md file containing a blog about the same.

A post generator powered by CrewAI with Gemini 1.5 Flash & Groq Cloud (deepseek-r1 Distill Llama 70b)

CrewAI AgentOps: Monitor your AI Agents

An AI-powered multi-agent system for automated code reviews. Uses specialized LLM agents to analyze security, performance, style, and best practices.

A modular, AI-driven research and reporting framework built on Crew.ai. Define agents and tasks via simple YAML configs, then spin up a “crew” of LLM-powered specialists to research, analyze, and generate professional reports on any company or topic.

Runtime authorization layer for AI agents. Every action is ALLOW, DENY, or REQUIRE_APPROVAL before it hits the real world.

Payment infrastructure for AI agents. One line to send money between machines. USDC/ETH on Base L2.

A demonstration project showing how to orchestrate a multi-agent “engineering team” using the crewai framework. This repo defines a crew of specialized agents (engineering lead, backend engineer, frontend engineer, test engineer) and a set of tasks (design, code, frontend, test) which are executed sequentially to satisfy a simple account-management

Anyparser Python SDK for RAG/ETL Pipelines - File Content Extraction. Supports extraction from various file formats including PDF, Microsoft Office documents, OCR/Image to Text, Audio to Text, and Website to Text.

A demonstration of using the CrewAI framework to automatically plan, write, execute, and collect output from Python coding assignments using an LLM-based “Coder” agent.