Swarms is an open-source AI agent framework that lets developers build, coordinate, and deploy autonomous multi-agent workflows leveraging modern LLMs. It provides abstractions for creating specialized agents, orchestrating communication, integrating external tools, and managing stateful memory. With modular design and plugin support, Swarms simplifies constructing collaborative AI systems for tasks like research analysis, automated operations, and decision support.
Swarms is an open-source AI agent framework that lets developers build, coordinate, and deploy autonomous multi-agent workflows leveraging modern LLMs. It provides abstractions for creating specialized agents, orchestrating communication, integrating external tools, and managing stateful memory. With modular design and plugin support, Swarms simplifies constructing collaborative AI systems for tasks like research analysis, automated operations, and decision support.
Swarms is a developer-focused framework enabling the creation, orchestration, and execution of multi-agent AI workflows. You define agents with specific roles, configure their behavior via LLM prompts, and link them to external tools or APIs. Swarms manages inter-agent communication, task planning, and memory persistence. Its plugin architecture allows seamless integration of custom modules—such as retrievers, databases, or monitoring dashboards—while built-in connectors support popular LLM providers. Whether you need coordinated data analysis, automated customer support, or complex decision-making pipelines, Swarms provides the building blocks to deploy scalable, autonomous agent ecosystems.
Who will use Swarms?
AI researchers
Machine learning engineers
Software developers
Data scientists
Enterprise solution architects
How to use the Swarms?
Step1: Install via pip: pip install swarms
Step2: Initialize a new project with swarms init
Step3: Define agent classes and roles in Python
Step4: Configure LLM provider and memory store
Step5: Register external tools or APIs
Step6: Orchestrate agents into a swarm workflow
Step7: Run the swarm with swarms run and monitor outputs