Swarms Python Packages

swarms

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

swarm-models

A simple to use package to call various model providers such as openai, anthropic, and others with utmost reliability, security, and performance.

swarms-cloud

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

swarms-tools

Swarms Tools provides a vast array of pre-built tools for your agents, MCP servers, and multi-agent systems.

clusterops

ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.

routehub

RouteHub is the Swarms LLM gateway, built for raw speed.

claw-swarm

A smaller, lighter-weight version of OpenClaw, natively multi-agent, compiles to Rust, and built on the Swarms framework and Swarms ecosystem. One API, unified messaging across Telegram, Discord, and WhatsApp with optional Claude-powered reasoning.

swarms-torch

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

cryptoagent

CryptoAgent is a professional, enterprise-grade solution designed to fetch, analyze, and summarize real-time cryptocurrency data.

mcs

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

tickr-agent

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

fluid-api-agent

Welcome to FluidAPI, it's a framework that allows you to interact with APIs using natural language. No more JSON, headers, or complex formats simply describe your request in plain English, and FluidAPI will do the rest.

atp-protocol

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).

teragpt

Train a production grade GPT in less than 400 lines of code. Better than Karpathy's verison and GIGAGPT

agentos-sdk

AgentOS is a lightweight, single-file implementation that provides a robust foundation for building autonomous AI agents. It implements the core concepts outlined in Karpathy's Agent OS architecture while maintaining simplicity and extensibility.

agentparse

AgentParse is a high-performance parsing library designed to map various structured data formats (such as Pydantic models, JSON, YAML, and CSV) into agent-understandable blocks. By leveraging **AgentParse**, engineers can ensure seamless data ingestion for LLM agents, enabling fast and accurate processing of real-world data.

autort-swarms

Implementation of AutoRT: "AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents"

news-swarm

NewsAgent is an enterprise-grade news aggregation agent designed to fetch, query, and summarize news from multiple sources at scale.

swarmzero

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

neo-sapiens

The next evolution of Agents

limoe

Implementation of the "the first large-scale multimodal mixture of experts models." from the paper: "Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts"

aot-x

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

evolverl

Empower Truly Autonomous AI Agents through our Experimental Adversarial and Evolutionary Reinforcement Learning Framework. Join our Community: https://t.me/evolveRL_portal

moe-mamba

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