Agent swarm architecture tutorial. Setting Up Your Environment .

Agent swarm architecture tutorial finance_agent_sys_prompt import ( FINANCIAL_AGENT_SYS_PROMPT, ) import os from swarms_memory import ChromaDB # Initialize the ChromaDB client for long-term memory management chromadb = ChromaDB ( metric = "cosine", # Metric for similarity measurement output_dir = "finance_agent_rag", # Directory for storing RAG data # docs_folder="artifacts Apr 15, 2015 · Agent Generated Architecture by Jeffrey Krause – Notes; Agent Based modelling by Coates et al. Oct 14, 2024 · The newly launched Swarm framework from developers at OpenAI is an experimental tool designed to orchestrate networks of AI agents, and it’s been making waves in the tech community. Find and fix vulnerabilities Oct 20, 2024 · Building Multi-Agent Systems with OpenAI Swarm. Agents in Agency Swarm. A swarm of agents can be understood as a collection of agents working together towards co-existing in a single environment which can collaborate with each other to solve problems. Oct 14, 2024 · Agent Coordination and Orchestration: Swarm provides tools to coordinate multiple agents, making it easier to manage the interactions and dependencies between them. Profiling Module: The Eyes and Ears of the Agent. Docker Swarm Architecture. 🚀 Dive Deep into Multi-Agent AI Development with the Agency Swarm Project! 🚀👨‍💻 Join our journey as we explore the fascinating world of multi-agent AI de Dec 23, 2024 · Agent Internal Mechanisms: Agent Architecture: Agent API: Agent API: Integrating External Agents Griptape, Autogen, etc: Integrating External APIs: Creating Agents from YAML: Creating Agents from YAML: Why You Need Swarms: Why MultiAgent Collaboration is Necessary: Swarm Architectures Analysis: Swarm Architectures: Choosing the Right Swarm for Nov 5, 2024 · Agentic RAG architectures can have various levels of complexity. Some are explained below: Oct 13, 2024 · TL;DR Key Takeaways : OpenAI’s Swarm is a framework designed to simplify the development of multi-agent systems using OpenAI models. presents an example of mapping trajectories in the space of forms onto 3d flocking boids. Ask them about any problems in their life related to catching roadrunners. In OpenAI Swarm, agents are the core building blocks of a multi-agent system. With Swarm, developers can… Nov 17, 2024 · In this tutorial, the multi-agent system consists of three key agents: the Summary Agent, Sentiment Agent, and Recommendation Agent. 0 stars Watchers. 7. Swarm# Swarm implements a team in which agents can hand off task to other agents based on their capabilities. A decentralized ecosystem of agents is very much akin to multiple “smart” microservices used in tandem to solve problems. The system automatically organizes the functions needed for the agents into JSON structures, making it easy for the agents to work together and complete tasks without any problems. Agents can be designed to handle particular workflows or steps, allowing for modular and organized task execution. The format forces the agent to reason through the question and then decide what to do. . In Swarm, every AI agent has its own job or role, like a “Sales Agent,” and a list of tasks it can perform. If we have a powerful workstation to d Oct 21, 2024 · Swarm is an experimental, educational framework from OpenAI that focuses on lightweight and ergonomic multi-agent orchestration. Agents: An Agent in Swarm encapsulates a set of instructions and tools, enabling it to perform specific tasks. Stars. It’s the basic building block for the Swarm network: a private; decentralized; and self-sustaining network for permissionless publishing and access to your (application) data. An Agent encompasses instructions and tools, and can at any point choose to hand off a conversation to another Agent. and in reality, also the idea of swarm intelligence was taken from nature only. In this tutorial, i show you how you can set up your swarm agent to use all the cores in your cpu to do light baking. It makes sure information flows smoothly between agents and each agent does its job when it’s supposed to. Handoffs to Other Agents. You can then fine-tune the agents and tools as per your requirements. Stateless Architecture: Swarm maintains a stateless approach between calls, promoting transparency and offering developers fine-grained control over the interaction flow. GraphWorkflow: Agents collaborate in a directed acyclic graph (DAG) format. Stage 1: Task Initiation¶ Input: The task or query that the agent needs to address. You can make specialized agents (with a narrower instruction & toolset) perform better for a use-case or set of tasks than you could if you tried to do it all with a generic agent that has access to all the tools. per, we will present a hybrid architecture for swarm robotics based on a multi-agent system. HiveMQ Swarm gives you the ability to create a clustered test environment that distributes the workload to the appropriate number of worker nodes. To create your agent swarms, you need to understand three essential entities: Agents, Tools, and Agencies. It is particularly targeted at developers, researchers, and educators who want to delve into the world of multi-agent systems (MAS) without being overwhelmed by the complexities associated with production-level orchestration tools. Its main goal is to streamline agent interactions via the Chat Completions API. com/VRSEN/agency-swarm🔋 OAI-Widget ( Nov 12, 2023 · Primary Directives 2023-11-12: Make and Use Tools; Define and Instantiate Agents; Swarm Architecture and Communication Bee is a Swarm client implemented in Go. Each agent performs a specific function like summarizing an earnings report, analyzing its sentiment, or recommending actions based on sentiment. Swarm is available under the MIT license, offering a Leverages a multi-agent architecture using LangGraph to coordinate specialized agents (Learning, Resume, Interview, Job Search) through TypedDict-based state management. \n " "2. For instance, agents can pass Jul 1, 1996 · Swarm is a multi-agent software platform for the simulation of complex adaptive systems. Its primary role is to execute both system and user-driven actions. However, you can also add multiple agents into a multi-agent RAG architecture. The design and planning of the operation architecture will contribute to the development of unmanned swarm operation. 3. Unlike traditional designs that compartmentalize reasoning and Jan 17, 2024 · 🤖 Build your own AI agents using Agent Swarms and join the collaborative AI wave! 💡🌐 🐙 Agency Swarm:https://github. Nov 5, 2024 · In Swarm different agents will perform different tasks, but, unlike the real world, with Swarm, the new agent has a record of your previous conversations. The system features sophisticated workflows for profile analysis and academic support, with continuous adaptation based on student performance and feedback. An Object Oriented Approach to Simulating Agent-Based Behavior by Sharma et al. Unlock the full potential of your AI agents with Qdrant’s powerful vector search and scalable infrastructure, allowing them to handle complex tasks, adapt in real time, and drive smarter, data-driven outcomes across any environment. Which tools or APIs each agent should have access to, if any. Walter built first recorded turtle eerie impression of purposefulness, independence and spontaneity p2 May 15, 2021 · If we will observe in our surroundings (nature) then we will be able to find many examples of swarm intelligence like ‘ant colony’, ‘swarm of bees’, ’flock of birds’ etc. The agent is endowed with sensory expertise via the profiling module, it is also known as the perception module. Its architecture emphasizes flexibility and integration with existing enterprise solutions. agent approach with a debate-based jury mechanism with tools for python code execution and web browsing [56]. We will show you exactly how these agents are built, how they can use tools and how to run simple Oct 31, 2024 · This tutorial dives into these key features, illustrating their unique aspects, use cases, and contributions to efficient multi-agent orchestration. Although not an official product Jan 6, 2025 · SLAPP: Swarm-Like Agent Protocol (Python, open source) SLAPP (Swarm-Like Agent Protocol in Python) contains both a tutorial on agent-based programming foundations and an agent-based modeling shell to run large simulation projects, such as the original Swarm2 scheme. At its core, Swarm is built around the following components: Agents: Agents are the fundamental building blocks in Swarm. Hi all! Welcome to this introduction to the Swarm multi-agent orchestration library, a new release by OpenAI team! In this video, you'll learn how to use the Dec 16, 2024 · Agent¶. Sensori-motor intelligence and perception. To get started, let’s create a new Python file called my_swarm. The Orchestrator plans, tracks progress, and re-plans to recover from errors, while directing specialized agents to perform tasks like operating a web browser, navigating local files, or writing and executing Python code. Single-Agent RAG (Router) In its simplest form, agentic RAG is a Aug 10, 2024 · How is Mixture Of Agents are different from other multi-agent systems 1. Oct 13, 2024 · Overview of Swarms Architecture. Swarm keeps track of the health of the containers. Trase claims to use a multi-agent architecture with a top level agent with self-critique and lower level agents [42]. Agency Swarm started as a desire and effort of Arsenii Shatokhin (aka VRSEN) to fully automate his AI Agency with AI. Dec 9, 2024 · Setting up Swarm is straightforward, thanks to its well-documented repository. This class provides the ability to ingest and process various types of documents such as PDFs, text files, Markdown files, JSON files, and more. Here’s a quick overview: LangGraph: As its name suggests, LangGraph bets on graph architecture as the best way to define and orchestrate agentic workflows. Swarm has no built-in RAG assistant or interface, but we can easily implement a RAG process by using LlamaIndex and registering that process in the Swarm agent as a function. Oct 7, 2024 · Modular Architecture: Swarms is built with a modular design, allowing developers to plug and play different agents, tools, and memory systems as needed. Key Features: Oct 15, 2024 · TL;DR Key Takeaways : OpenAI Swarm is an open-source framework designed to simplify the creation and coordination of AI agents, focusing on agent coordination and execution through agents and 4 days ago · The current AI Agent architecture mainly consists of three basic modules: the input processing module responsible for parsing user needs and environmental data; the reasoning module that makes judgments based on preset rules and models; and the execution module that completes specific tasks according to established processes. Initialize Swarm: swarm. Swarm supports hierarchical modeling approaches whereby agents can be composed of swarms of other agents in nested structures. Oct 12, 2024 · OpenAI has recently and somehow surprisingly released Swarm, a lightweight and experimental framework designed to support the development of multi-agent systems (in their GitHub they specifically… Oct 11, 2024 · Swarm is a very lightweight framework built on ChatCompletions that helps make multi-agent orchestration simple!. Making Swarm Durable To add Durable Swarm to your project, simply create a durable_swarm. By building this framework, we aim to simplify the agent creation process and enable anyone to create collaborative swarm of agents (Agencies), each with distinct roles and capabilities. Nov 24, 2024 · An Introduction to Multi-Agent Orchestrator, Bee Agent Framework by IBM. Oct 15, 2024 · OpenAI recently unveiled SWARM, a lightweight multi-agent orchestration framework designed to simplify the development of multi-agent systems using OpenAI models. py file containing the following code: Nov 16, 2023 · Each agent in a swarm operates independently yet is interconnected with others. Setting Up Your Environment Oct 13, 2024 · The Swarm framework is an experimental tool from OpenAI designed for orchestrating multi-agent AI systems on lightweight, easily controlled, and modular architectures. Dec 10, 2024 · This tutorial walks you through creating such agents from scratch using a minimal Python script. - **Mesh Swarm**: Agents work on random tasks from the task queue. Scalability: It offers a cognitive architecture, a software blueprint for AI models, enabling developers to Master the integration of OpenAI Assistants in an Autogen Swarm Utilize Langchain Agents and tools within Autogen Implement UserProxy for automated interactions Design and deploy multi-agent swarms for complex tasks Develop critical agents for quality control and feedback Craft and execute scripts for dynamic, multi-task conversations May 14, 2024 · Let's discuss each component of AI Agent architecture in detail: 1. - **Star Swarm**: The first agent (Stock Analysis) processes all tasks before distributing them to other agents. Master the integration of OpenAI Assistants in an Autogen Swarm Utilize Langchain Agents and tools within Autogen Implement UserProxy for automated interactions Design and deploy multi-agent swarms for complex tasks Develop critical agents for quality control and feedback Craft and execute scripts for dynamic, multi-task conversations The functions of the architecture are divided and described in detail, and finally a multi-agent unmanned swarm operation architecture based on OODA loop is constructed. prompts. In the Plan agent, we must decide whether we can answer the question and delegate the task to the right agent. It is a multi-agent design pattern first introduced by OpenAI in an experimental project. Handoffs are key to multi-agent systems. Nov 8, 2023 · Explore the GitHub Discussions forum for daveshap OpenAI_Agent_Swarm. " "Follow the following routine with the user:" "1. In the Swarm system the basic unit of simulation is the swarm, a collection of agents executing a schedule of actions. This architecture allows for an ever-expanding universe of agents, each with a defined role, each contributing to the overarching mission. This includes 2 separate tutorial series for OpenAI swarm library each 10 files from basic to advanced - echohive42/Swarm-library-tutorials AI Agents. For more information, see: Pietro Terna (2015), Introducing the Swarm-Like Oct 12, 2024 · Copywriter Agent: Gets the campaign idea; Uses GPT-4o-mini to write catchy marketing copy; Creates copy that fits the campaign idea and target audience; The OpenAI Swarm library manages how these agents work together. The simulation of real-world IoT deployments typically requires large numbers of clients. Jun 16, 2015 · Quelea is a rule-based design library packaged into Grasshopper components as a free add-on to the 3D modeling environment, Rhinoceros. This section discusses the two fundamental RAG architectures. For example, in Dec 23, 2024 · Agent Workflow¶ The workflow of an agent can be divided into several stages: task initiation, initial LLM processing, tool usage, memory interaction, and final LLM processing. py. init() 3. While Swarm isn’t an official OpenAI product or meant for production use, it sheds light on the promise of multi-agent systems in business automation. - **Pyramid Swarm**: Agents are arranged in a pyramid structure, processing tasks layer by layer. Setup. License. Oct 12, 2024 · The ReAct framework introduces a unified architecture for AI agents that capitalizes on recent advancements in LLM capabilities. If you master these concepts you are well on the way to developing multi-agent solutions to complex problems. In the simplest form, a single-agent RAG architecture is a simple router. Such systems enjoy many benefits such as high tolerance and the possibility of increasing the Apr 16, 2015 · Swarm allows user to nest the ordering of agent actions. 1 watching Forks. Swarm’s architecture is designed to be modular and approachable, focusing on agent-based orchestration that allows developers to understand the basics of multi-agent systems. At the heart of Swarm are two fundamental abstractions: Agents and Handoffs. They encapsulate a set of instructions, functions, and the ability to hand off execution to other agents. Dynamic Interaction Loop: The framework manages a continuous loop of agent interactions, function calls, and potential handoffs between a system of agents. 3 types of objects (classes) ModelSwarm creates and control agents; ObjectSwarm collects info from agents and outputs them to a file or graph; Classes Dec 12, 2023 · Docker Swarm also load balances traffic across multiple containers. – Notes; Agent-Based Design Modelling Using the Visual Swarm Builder by Alessandro Perrone – Notes; A New Kind of Building – Kas Oosterhuis – Notes The agents you want to involve and their communication flows. Designed to explore efficient and flexible ways to coordinate and manage multi-agent systems, Swarm offers developers a powerful tool to test and build agent-based solutions without the steep learning curve associated with traditional setups. Grey W. from swarm import Agent. Agents are the key functional units responsible for carrying out specific tasks, whether it be text generation, web scraping, data analysis, or more specialized functions like marketing or accounting. 0 forks Behaviors change the state of the quelea. A hybrid architecture for swarm robotics based on a multi-agent system to make possible the use of cognitive agents to lead a robotic swarm of simple agents without losing the advantages of swarms is presented. GroupChat: Agents engage in a chat-like interaction to reach decisions. MIT license Activity. The key idea is to let agent delegate tasks to other agents using a special tool call, while all agents share the same message context. Oct 14, 2024 · As multi-agent systems evolve, Swarm is likely to be integrated with advanced AI technologies, such as neuro-symbolic AI and meta-learning. 1. The Rox Agent Swarm sits between the System of Record (SOR) and the Systems of Engagement (Rox Web Application and MacOS Application), acting as the core processing unit within the system, similar to a CPU in a traditional operating system. WebPilot uses a multi-agent system with global and local optimization in planning for web based tasks [75]. In the Swarm system the basic unit of si8mulation is the swarm, a collection of agents executing a schedule An agent swarm architecture for memorizing and replaying previously done tasks. Jul 26, 2024 · To demonstrate the entire process from start to finish in this AI agent development tutorial, let’s create our own social media marketing agency using Agency Swarm. Here’s an example of creating a basic agent in Swarm: Oct 25, 2024 · Enter OpenAI’s Swarm, an experimental, educational framework that introduces an elegant solution for orchestrating multiple specialized AI agents. These advancements will make agents more intelligent and Oct 31, 2024 · A Guide for Integrating LlamaIndex into Swarm's Agents. Jun 16, 2015 · Agent Generated Architecture by Jeffrey Krause – Notes; Agent Based modelling by Coates et al. This tutorial will walk you through setting up a basic multi-agent system using Swarm. For instance, the Bounce Contain Behavior sets the quelea’s velocity to be the reflection of its current velocity about the normal of the border of i… Apr 5, 2015 · discusses morphogenetic properties of swarm behavior p1. Swarm is an experimental framework from OpenAI for creating and orchestrating networks of AI agents. With the help of this module, the agent may collect and analyze information from its environment like how human Jul 26, 2024 · Now that we’ve covered the theoretical aspects in this AI agent development tutorial, let’s dive into the practical implementation using Agency Swarm. Jan 4, 2024 · Agent Swarms bask on specialization and selective context (memory and tool access). Swarm focuses on making agent coordination and execution lightweight, highly Apr 19, 2024 · Creating Your First Swarm. During the talk, I shared how MARS Dec 12, 2024 · - **Linear Swarm**: Tasks are processed sequentially by each agent. " "Always answer in a sentence or less. Each Agent within the Swarm is contextually scoped to a single sales representative and account pair, ensuring interactions are focused and highly from swarms import Agent from swarms. Welcome to LocalAgent-Tutorial, a comprehensive guide designed to teach you how to implement your own Localization Agent from scratch. Swarm lets Oct 26, 2024 · Understanding Agents and Handoffs in OpenAI Swarm. Import the Swarm Library: import swarm. If you want to learn more about Swarm, check out this blog where we cover in detail the potential and impact of this framework. Scalability: The framework is designed to handle a growing number of agents without compromising performance. Moreover, the implementation of this architecture within Real Nov 11, 2023 · Dive into the world of autonomous agent swarms with our comprehensive Autonomous Agent Swarms Totorial! 🌟 Whether you're a beginner or an AI enthusiast, thi Oct 17, 2024 · Key Insights and Features of Swarm. Unlike other Nov 12, 2023 · Write better code with AI Security. The main contribution of this architecture is to make possible the use of cognitive agents to lead a robotic swarm of simple agents without losing the ad-vantages of swarms. Jan 2, 2025 · Agents in Swarm. Instead of relying on a single AI model, Swarm divides problems into smaller, manageable parts and assigns them to specialized agents that collaborate, much like a team of experts. Output: A structured plan or approach for handling the task. Swarms Framework Architecture Managing Prompts in Production Agents Agents Agent Architecture Complete Agent API OpenAI Assistant Create and Run Agents from YAML Integrating External Agents from Griptape, Langchain, etc Tools Tools Overview What are tools? ToolAgent Tool Storage & tool_registry decorator. Think of agents as specialized units, each responsible for a specific aspect of a larger task. Simple agents and turtles. The system employs sophisticated query categorization and routing while integrating with external tools like DuckDuckGo for job searches and dynamic content generation. sales_agent = Agent(name = "Sales Agent", instructions = ("You are a sales agent for ACME Inc. Import the necessary modules: from swarm import Agent The Rox Agent Swarm operates as the central processing unit, bridging the System of Record (SOR) and Systems of Engagement. 2. Oct 10, 2024 · Several types of multi-agent system patterns: Collaborative Agents: Multiple agents work together on different parts of a task, sharing progress and building toward a unified result. Nov 7, 2024 · A few weeks ago, I wrote about Multi-Agent RAG Systems (MARS) and spoke about this proposed architecture at a series of conferences, including TechCrunch Disrupt. Nov 19, 2024 · A hands-on guide to building a multi-agent AI assistant using OpenAI's Swarm framework, covering agentic AI, multi-agent systems, and practical AI applications. Define Agents and Routines: Jul 13, 2024 · Agent Swarm Layered Architecture. Here’s a quick overview of how to set up a basic multi-agent system using Swarm: 1. From the Executive Agents, the swarm grows, branching out into a tree of specialized agents, each a Tier below the one that instantiated it. Swarm robotics is a type of robotic systems based on many simple robots interactions. This is a high-level architectural view of Docker Swarm. We'll begin by importing the necessary modules: from swarms import AutoSwarm, AutoSwarmRouter, BaseSwarm Nov 12, 2024 · 1. Drawing inspiration from the ACE Framework, HAAS introduces a novel approach to AI Oct 13, 2024 · What is OpenAI’s Swarm? Swarm is an open-source framework developed by OpenAI to help users explore and understand the principles of multi-agent orchestration. Supervised Agents: A central supervisor agent manages other agents, coordinating their activities and verifying results to ensure quality. It also allows us to expose services with an ingress solution. Agents in Agency Swarm are wrappers around assistants in the Jun 21, 1996 · Swarm is a multi-agent software platform for the simulation of complex adaptive systems. Oct 28, 2024 · The plan agent. Discuss code, ask questions & collaborate with the developer community. Swarm Agent is a powerful autonomous agent framework designed to connect Language Models (LLMs) with various tools and long-term memory. OpenAI’s Swarm framework is a method for coordinating multiple AI agents to solve complex tasks by working together. Agents Folder (agents/)¶ Role: The agents folder contains the core logic for individual agents within the Swarms framework. This stateless design means agents don’t keep memories between interactions, adding to Swarm’s simplicity but Oct 17, 2024 · The entire implementation of Durable Swarm is <20 lines of code, declaring the main loop of Swarm to be a durable workflow and each chat completion or tool call to be a step in that workflow. AgentRegistry: A centralized registry where agents are stored, retrieved, and invoked. Welcome to the Agent AI Tutorial Series — Part 1! 🚀 Agent-Based Architecture: SWARM allows you to create specialized agents, each with its own set of instructions and available functions (tools). It allows you to create complex simulations, analyses, and forms through the combination of simple rules. Nov 1, 2024 · Understanding OpenAI Swarm. The coordination Oct 16, 2024 · Swarmは、OpenAIが開発した実験的なマルチエージェントオーケストレーションフレームワークです。このチュートリアルでは、Swarmの公式サンプルを通じて、AIエージェントの開発と連携の基礎を段階的に学んでいきます。 Swarm ～リポジトリの日本語化～ Nov 30, 2023 · Swarm of agents. – Notes; Agent-Based Design Modelling Using the Visual Swarm Builder by Alessandro Perrone – Notes; A New Kind of Building – Kas Oosterhuis – Notes Jun 12, 2024 · “A system architecture for autonomous intelligence” most basic starting point swarm. First, install Swarm: pip install openai-swarm. Encapsulated Agents: Agents encapsulate instructions, functions (acting as tools), and handoff logic, promoting modularity and code Implements a state-managed multi-agent architecture using four specialized agents (Coordinator, Planner, Notewriter, and Advisor) working in concert through LangGraph's workflow framework. Fine Tune: After Genesis has created your agents for you, you will see all the agent folders in the same directory where you ran the genesis command. The Bee Agent Framework from IBM is designed for businesses requiring highly modular and scalable multi-agent systems. For developers looking to explore multi-agent systems, Swarm offers valuable lessons in system design, even if it's not intended for production use. Swarm enables developers to create modular AI Oct 24, 2024 · By emphasizing simplicity, control, and clear patterns for agent coordination, Swarm points the way toward a future where complex AI systems can be both powerful and maintainable. This project aims to empower developers by providing step-by-step instructions on creating a Localization Agent, reducing reliance on external APIs such as those offered by OpenAI. In the diagram we have three manager nodes (similar to the Master nodes of Nov 25, 2024 · We chose LangGraph, CrewAI, and OpenAI Swarm because they represent the latest schools of thought in agent development. I want the agent to have the space to think and reason about the question, so I expect to get a response in a specific format. Agents and Handoffs. Fine-Tuning and Recalibration Layer: Assesses outcomes and provides feedback for continuous improvement, fine-tuning strategies and processes. Leverages a multi-agent architecture using LangGraph to coordinate specialized agents (Learning, Resume, Interview, Job Search) through TypedDict-based state management. Graphs and displays can be used to monitor simulation as it is running and user can interact with it by changing the state of the agents. The primary responsibility of the Agent Swarm is to execute system and user-driven actions. Dec 23, 2024 · 1. Architecture and Functionality. Nov 4, 2024 · Magentic-One employs a multi-agent architecture where a lead agent, the Orchestrator, directs four other agents to solve tasks. Agent-Based Design Modelling Using the Visual Swarm Builder by Alessandro Perrone – Notes A New Kind of Building – Kas Oosterhuis – Notes Swarm Architecture I – TU Delft The Hierarchical Autonomous Agent Swarm (HAAS) is a groundbreaking initiative that leverages OpenAI's latest advancements in agent-based APIs to create a self-organizing and ethically governed ecosystem of AI agents. Swarm focuses on making agent coordination and execution lightweight, highly controllable, and easily testable. Mixture of Agents: MoA operates on a layered architecture where agents work in parallel and Dec 17, 2024 · Mixture of Agents: A heterogeneous swarm where agents with different capabilities are combined. It accomplishes this through two primitive abstractions: Agents and handoffs. vam acu ilo nghvb yuhklk gqvw umcr byuen egtc tnh