AI Multi-Agent Frameworks & Swarms Directory (2026)

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

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

A Go agent harness and service framework

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Multi-Agent Harness for Production AI

KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.

The agent engineering platform.

Build resilient agents.

Library for building stateful, multi-actor applications with LLMs, used to create cyclical agent workflows and multi-agent teams.

Harness LLMs with Multi-Agent Programming

Harness engineering beginner tutorial, from 0 to 1

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

LuaN1aoAgent is a fully autonomous AI-driven penetration testing agent powered by graph-based cognitive reasoning. Developed by the Intelligent Offense & Defense Research Group, led by Professor Lu Hui and Tian Zhihong at Fang Class, Guangzhou University.

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

Python implementation of a bunch of multi-robot path-planning algorithms.

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.

Open-source Agent Operating System

Open-source multi-agent AI desktop client — build and command your AI agent team through conversation. A commander LLM dispatches sub-agents in parallel or in series; agents self-evolve via reflection and skill crystallization. Local-first, BYO LLM keys (Claude · OpenAI · Gemini · DeepSeek · Kimi · GLM · Qwen). macOS / Windows / Linux.

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation