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

A compilation of the best multi-agent papers

SwarmZero's SDK for building AI agents, swarms of agents and much more.

An open source implementation of LFMs from Liquid AI: Liquid Foundation Models

A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more

Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework in Rust

Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Zeta

My implementation of "Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"

A vast array of examples for the enterprise-grade and production-ready swarms framework.

Robot communication and coordination network.

tickr-agent is an enterprise-ready, scalable Python library for building swarms of financial agents that conduct comprehensive stock analysis and produce insights.

This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.

Implementation of the text to video model LUMIERE from the paper: "A Space-Time Diffusion Model for Video Generation" by Google Research

An open source implementation of the paper: "Sequential Diagnosis with Language Models" From Microsoft Built with Swarms Framework

An simple, reliable, and minimal implementation of the AI CoScientist Paper from Google "Towards an AI co-scientist" with Swarms Framework

Deploy your autonomous agents to production grade environments with 99% Uptime Guarantee, Infinite Scalability, and self-healing.

The next evolution of Agents

A production-grade multi-agent system for comprehensive medical diagnosis and coding using specialized AI agents.

This repository provides a minimal, single-file implementation of SingLoRA (Single Matrix Low-Rank Adaptation) as described in the paper "SingLoRA: Low Rank Adaptation Using a Single Matrix" by Bensaïd et al.