A compilation of the best multi-agent papers
Forge is a self-evolving multi-agent orchestrator -- that plans, runs parallel agents, orchestrates them, reviews the code, resolves merge-conflicts and gives one PR that you can safely merge to production.
Swarms Tools provides a vast array of pre-built tools for your agents, MCP servers, and multi-agent systems.
ATAT is an email client for AI Agents. Deploy dozens of AI agents through a single email address (IMAP/SMTP) using the OpenAI API. Just add credentials, create one email and the aliases you need, and you have agents over email. Just add credentials and it works.
Model Context Protocol (MCP) servers with Claude Code. These tools dramatically enhance Claude Code's capabilities, allowing it to interact with your filesystem, web browsers, and more.
Maximize GitHub Copilot’s impact in large, legacy, and regulated codebases.
Offlined is a 100% offline desktop-style web app to chat with a local LLM and navigate trough worldwide maps and wikipedia articles.
🐝 Boost productivity by coordinating AI agents that learn and adapt, breaking down tasks for efficient, parallel execution.
10 specialized AI agents for GitHub Copilot — PM, Architect, DBA, UI Designer, Project Manager, Frontend, .NET, QA, DevOps — forming a structured software delivery team with defined handoffs, gate reviews, and phased workflow. Also supports Claude Code and OpenAI Codex CLI.
纯 Prompt 驱动的，用于 Harness Engineering 下的 OpenCode Agents Team 定义
Octomind Agents Registry
Super-Agentic is the first platform where you describe ANY project and watch AI agents with real expertise spawn, collaborate, and deliver professional results automatically.
Build a $100K startup with 19 AI employees. Product, Design, Engineering & Marketing agents that share memory and work together. Each agent is a specialized expert with personality, processes, and proven deliverables.
An experiment in home schooling agents
This code is structured to facilitate the automation of blog post creation by allowing users to input a topic, processing that input to potentially generate or retrieve relevant content, and then displaying or linking to that content within the app.
First Tr(y | ai) aims to ease building and deploying GenAI agents and teams.
Add a description, image, and links to the agents-team topic page so that developers can more easily learn about it.
To associate your repository with the agents-team topic, visit your repo's landing page and select "manage topics."