Multi-agent systems, memory, planning, reasoning loops

Shared Memory Storage for Multi-Agent Systems

Multi-agent system for software development

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Top Autonomous Research Multi-Agent System for 2026 Lab Experiments

A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

Samurai-inspired multi-agent system for Claude Code. Orchestrate parallel AI tasks via tmux with shogun → karo → ashigaru hierarchy.

250+ real-world TypeScript AI projects: workflows, agents, and multi-agent systems with production-ready architecture, not chatbot demos.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

Multi-Agent Harness for Production AI

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Teams-first Multi-agent orchestration for Claude Code

Eigent: The Open Source Cowork Desktop - Local and Free Alternative to Claude Cowork and Codex

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Multi-agent harness that runs Claude Code and Codex together as one system

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

List of agent orchestrators

A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results