GitHub agents

Flock is a native desktop AI agent application built with Rust and Tauri, enabling multi-provider LLM support, tool orchestration, memory, and skills systems. It provides structured automation, persistent sessions, and accessibility-driven agent workflows for powerful cross-app control.

🔌🔄 Simple MCP Server Deployment

MailPad is a Python library that simplifies email sending and integrates with OpenAi's language models for generating email content.

Langchain Project via Streamlit by using Gemini and OpenAI

Developed a chatbot using RAG architecture to analyze uploaded pdf file and answer questions based on its content.

A solution created during the 1st Hackathon of Receita Federal 2025, transforming seized vapes into technology with environmental, social, and educational impact.

AI-powered Telegram bot for tracking personal expenses and budgets using LangChain and Supabase

Visual RAG Project Generator - Create customized Retrieval-Augmented Generation projects in minutes. Part of the AI Training Program by Upgrade Hub & CSIC.

My Graduation Project for My Engineering Senior Year of 2023/2024

Engage with YouTube Content Like Never Before! Unleash Instant Conversations and Pinpoint Video Moments from Hours of Content!

Your personal assistant in higher education, streamlining study sessions with advanced AI for enhanced learning and productivity.

MailTrap Agent with LangChain

A repository for final project of NLP Bootcamp at Indonesia AI

A Langchain agent powered by Pinecone and OpenAI.

Create long documents through RAG and Chain of thought by using Langchain, OpenAI, Pinecone.

langchain use ollama api and qwen2.5

This project is designed to be your intelligent assistant in the often challenging journey of job hunting. JobFlowAI helps you streamline your job search, optimize your resumes, and prepare for interviews using our suite of AI-powered tools.

AI-powered multi-agent system built with FastAPI and CrewAI to enhance business productivity and streamline decision-making. Designed to help teams make faster, smarter, and more efficient strategic choices.

🤳 Meet the AI that makes your videos unskippable

Omdena Live Coding Session - Blog Writing & Summarising App with CrewAI Resources

Screenplay Writer Agent is an AI-powered creative assistant that helps write, structure, and refine screenplays by generating scenes, dialogues, character arcs, and story flow in standard screenplay format.

This is our project which we completed in 24 hours for Dragon Hackathon in University of Ljubljana. Project includes, network analysis, streamlit, LLM to build a chat bot and prompt engineering.

Multi-Agent Framework built on VoltAgent. Similar to n8n but its not no code, allowing you to create advanced multi-agent systems with memory, tools. & more

An all in one healthcare expert.

Crew of AI Agents that investigate a company to help you prepare for your next interview

Crew Generator is a powerful tool that helps you create your own crew without any programming knowledge.

Multi-agent AI ecosystem for automated financial auditing and fraud detection using CrewAI. Features DuckDB-powered ETL pipelines and orchestrated LLM agents for risk-based reporting. Converts raw financial data into verified, human-level audit reports with compliance validation.

An intelligent AI-powered system that automatically extracts professional data from LinkedIn profiles and generates tailored, professional resumes using CrewAI's multi-agent framework.

A typed, permission-enforced language for orchestrating AI agents. Compile-time contracts, built-in guardrails, multi-backend dispatch.

AI-powered research with human guidance and citation integrity

This project utilizes a multi-agent system powered by crewAI to monitor, analyze, and strategize in the financial markets, specifically focusing on stock trading. Each agent in the system specializes in a unique aspect of trading, working together to provide comprehensive insights and actionable strategies.

Using CrewAI to validate startup ideas from different points of view.

Leverage large language models (LLMs) and LLM Agents to craft impactful and effective prompts

Learn Agentic AI using Autogen, CrewAI, LangGraph, and Knowledge Graphs.

ShopSmart.Ai - An intelligent shopping Assistant built with CRewAi

This project demonstrates a multi-agent system built using AutoGen and Groq's LLaMA 3 model, designed to automate the analysis of Apple (AAPL) stock's daily closing prices over the past month. The system utilizes a collaborative architecture involving multiple AI agents—each assigned a specific role in the data analysis pipeline.

Agentic Chatbot: for Navigating Red Hat Internal resources from THE SOURCE

A simple AgenticAI agent showcasing autonomous reasoning and decision-making by integrating thought, logic, and action in real-time tasks.

a small space adventure showcasing the capabilities of retrieval augmented generation (RAG)

This project provides a user-friendly chat interface for the Llama2 70B Chatbot using the Gradio library.

Powered NLP with LLMs

Run local or API connected models from OpenAI, Hugging Face, or OpenRouter. Use your own data, load .safetensors or GPTQ models, and extend capabilities with Python plugins. Full UI (Gradio) and CLI integration. No cloud lock in. No coding required.

Claude-powered Slack bot for multi-project dev automation. Each channel gets its own AI agent with codebase context. Quick Q&A, full coding sessions, GitHub issues, peer review, and App Store Connect monitoring — all from Slack.

A multi agent system, trying to figure out the shortest path between an anthill and a food source using an ant colony algorithm.

PixelHQ ULTRA — Multi-agent pixel office with A2A protocol, terminal correlation, and evolution engine. Mission control HUD for the LoveLogicAI stack.

Real-time visualizer for Claude Code multi-agent activity. Timeline, task graph, and agent views powered by hooks.

Your starting point for building advanced agentic systems.

Advancing Humanity

Yet Another Ralph Loop Implementation

Open-source multi-agent AI debate arena: pit Claude, GPT, Gemini, Ollama & HuggingFace models against each other with frozen-context fairness, evidence-first judging, 20+ personas, code review, and PDF/Markdown reports. CLI + Web UI.

ATP Protocol is a payment-gated agent execution API that makes agent-to-agent payments and “pay to unlock results” easy on Solana, with a simple client integration (two endpoints + a Solana payment).

End your moments of distraction with the cost of real money!

Multi-agent AI platform built with Microsoft Agent Framework on Azure AI Foundry. 7 coordinated agents, two parallel waves, one prompt — platform-ready social content.

Swarm of specialized trading agents (technical, fundamental, sentiment, risk) that debate signals before executing simulated trades. Dockerized, with configurable strategies and a backtesting harness over historical OHLCV data.

Multi-agent framework for generative AI.

AI assistant that learns your workflows — auto-generates skills, routes to the cheapest LLM, and replays every execution. Telegram · Slack · Discord · Matrix. One Rust binary, zero setup.

A 7-perspective Agent Team for Claude Code: parallel multi-agent product research, cross-validated, delivered as HTML + Markdown + Notion.

Personal Agentic Workspace — A local, open-source command center orchestrating 26+ AI agents to turn ideas into code.

A booklet on the CORMAS multi-agent simulation framework

Agent-oriented programming in NodeJs.

None

Multi-agent DDPG on ml-agents environment

A fully autonomous multi-agent social media simulator where AI agents continuously interact, debate, and evolve narratives without human input. Designed to study misinformation propagation, emergent behavior, and opinion dynamics in AI-driven social networks.

A parallel agent runtime for your terminal. Run up to 20 AI coding agents simultaneously in tmux panes. Works with any CLI agent.

Foundation for a Scalable, Production-Ready Multi-Agent AI Intelligence System. Establishes core orchestration, robust service integrations, and resilient data architecture—paving the way for a full-spectrum, autonomous AI platform ready for advanced intelligence, analytics, and automation.

Multi-Agent Orchestrator System (MOS) is a real-time, multi-agent monitoring and management system that supports multiple platforms.

Assess startup ideas, simulate 100 virtual companies, and turn uncertainty into experiments and execution plans.

Marketing AI Chief of Staff. Multi-agent social simulation with LightRAG knowledge graphs. Preview how your content spreads before you publish. Ollama local LLM supported.

FF15-inspired browser-based dashboard for OpenCode multi-agent workflows, with mission dispatch, live sessions, and reports.

A production‑ready template for deploying multiple specialized medical agents as MCP tools using the AOP (Agent Orchestration Protocol) from the `swarms` library. This server exposes agents as callable tools that any MCP‑compatible client can discover and execute.

Deterministic execution control plane for autonomous agent systems - pre-execution governance with audit-grade traces.

Plan events using Google ADK + Gemini + GPT: venues, decor, PDF, voice & more. Built with Streamlit.

Lightweight coordination server for autonomous AI coding agents — task claiming, file locks, message passing, and health monitoring over REST

This project include the prompts to initalize a genral scientific project including: coding writing, code review, documentaiton and publication level summary and further checklist.

Your AI company, visualized. Orchestrate multiple Claude Code CLI sessions as a virtual software company.

🔍 AI-powered autonomous UI testing — describe what to test in plain English, a pipeline of specialized agents will navigate, write, execute, and self-heal the test automatically.

Prototype: An end-to-end learning project demonstrating a multi-agent MCP RAG pipeline that analyzes existing patents and suggests how to refine ideas to make them novel and potentially patentable.

API Documentation for createnow

OPUS — bio-inspired multi-agent swarm architecture for collective LLM reasoning. Open-source. Ars Magna.

Algorithms for computing or learning equilibria in multi-objective games

OpenClaw Skill: AI模型供应商管理器 - 自动发现模型、追踪额度、多Agent共享状态、额度用完自动切换

Local multi-agent orchestration with DAG scheduling and OpenAI-compatible API

A multi-agent (LLMs) jury deliberation simulation system.

Multi-agent orchestration CLI for AI coding agents

Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs.

Bench is a constitutional governance layer for Claude Code

Next-gen Agentic AI Intent to Task Orchestrator powered by the SEAG framework. This unified governance platform delivers enterprise-grade orchestration, transforming any intent into tasks across users, apps, systems, agents, tools, models, or gateways. Supports seamless integration of all query sources for precise, scalable ITT workflows.

Multi-agent orchestration with shared context, a live TUI, and cross-run lessons.

GenAI IT Ops Chat Solution

Build your dream AI agent swarm with enterprise-grade reliability and scalability. This repository contains our official specification template for custom swarm development using the powerful Swarms Framework.

Agent-first collaboration substrate for controlled decision systems, with investment as the current proving ground. / 面向 Agent-first 协作的可治理决策底座，投资是当前最完整的验证场。

An open-source AI runtime framework focused on task execution, traceability, and delivery closure.

Battle-tested operational patterns for running multi-agent AI systems in production. File Blackboard, Task Envelope, Circuit Breaker, HITL Escalation, and more.

Multi-agent orchestrator for Claude Code. Spawn, coordinate and monitor AI agents in parallel — no API key required.

One brain. Many bodies. Orchestration framework for embodied AI built on SCP. LangGraph for physical systems. Zero HTTP between bodies.

This extension aims to allow agent-based models to account for norms. During plan generation, agents must be able to represent and reason about norms. The end-goal is to be able to describe a planning problem with norms endowed by its organizations through the various roles that the agent must fulfill, and see how it affects its plans.