Multi Agent Systems Python Packages

strands-agents

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

google-adk

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

strands-agents-tools

A set of tools that gives agents powerful capabilities.

strands-agents-builder

An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.

camel-ai

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

strands-agents-mcp-server

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

camel-oasis

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

strands-harness

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

swarms

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

uagents-core

A fast and lightweight framework for creating decentralized agents with ease.

squadron-ai

user-configurable pipeline orchestration. decompose, review, automate — every level from broad architecture to precise code, your choice of models, structured artifacts human and ai readable. pairs with context-forge. you're in control.

neuro-san

Neuro AI System of Agent Networks

abstractframework

Write once. Generate everything. A modular, open-source ecosystem for building durable, observable, multimodal AI systems. Text, voice, image, video, music — one unified interface, any provider, any model, local or cloud.

agentcrew-ai

Chat application with multi-agents system supports multi-models and MCP

synapse-channel

Neutral control plane for coding-agent fleets: claims, roles, mailbox reliability, receipts, audit, federation, dead-letter visibility, sandbox receipts, and cross-agent coordination. This is still pre-1.0.0 - Software works however you might need help from your local agents to set it up.

isnad

Grade every agent, scraper and model in a claim's chain — provenance, trust scoring and audit evidence for LLM pipelines

esquilax

JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library

meta-agents-research-environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

uagents

A fast and lightweight framework for creating decentralized agents with ease.

openinvest

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

vmas

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

seenrelay

Your agents already know things. SeenRelay helps decide when they need to look again.

ai-venture-studio

AI venture studio: mines your support tickets and issues for opportunities, sizes markets honestly, writes PRDs with kill criteria, builds and reviews the product from one plain-language doc (English/中文), measures real cohorts, and forces honest kill decisions. Humans hold every gate; it never publishes or spends.

solace-agent-mesh

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.