The Swarms Framework is a production-grade framework designed for building and deploying multi-agent systems. It provides robust tools and libraries to facilitate the development of complex, distributed, and scalable llm-agent-based applications.
- Scalability: Easily scale your agent systems to handle large numbers of agents.
- Flexibility: Supports a wide range of agent architectures and communication protocols.
- Integration: Seamlessly integrates with existing systems and technologies.
- Performance: Optimized for high performance and low latency.
$ pip3 install -U swarms swarm-models swarms-memory
Clone the repository and install the dependencies:
git clone https://github.com/The-Swarm-Corporation/swarms-examples
cd swarm-framework
pip install -r requirements.txt
The examples
directory contains various subdirectories, each focusing on different aspects of the Swarm Framework. Below is an overview of the available examples and their related tools:
-
agents: Contains examples demonstrating the creation and management of individual agents within a swarm. These examples highlight the use of the
Agent
class and its capabilities. -
artifacts: Focuses on the management and utilization of artifacts within a swarm, showcasing how agents can interact with and leverage these resources.
-
collabs: Provides examples of collaborative scenarios where multiple agents work together to achieve a common goal, emphasizing inter-agent communication and coordination.
-
demos: Includes demonstration scripts that showcase the Swarm Framework's capabilities in real-world scenarios, providing a practical understanding of its applications.
-
distributed: Contains examples related to distributed systems and how the Swarm Framework can be used to manage and orchestrate distributed agents across different nodes.
-
prompts: Focuses on the use of prompts within the framework, demonstrating how agents can be guided and controlled through specific instructions.
-
structs: Provides examples of different structural components within the framework, such as swarms and networks, and how they can be utilized to build complex systems.
-
swarms_marketplace: Showcases examples related to the marketplace of swarms, where different swarms can be deployed and managed.
-
tasks: Contains examples of task management within a swarm, demonstrating how tasks can be assigned, executed, and monitored by agents.
-
telemetry: Focuses on the collection and analysis of telemetry data from agents, providing insights into their performance and behavior.
-
tools: Provides examples of various tools available within the framework that agents can use to enhance their functionality.
-
utils: Contains utility scripts and functions that support the main examples, providing additional functionality and support.
-
workshops: Includes workshop materials and examples designed to teach users how to effectively use the Swarm Framework in different scenarios.
graph TD;
A[examples] --> B[agents];
A --> C[artifacts];
A --> D[collabs];
A --> E[demos];
A --> F[distributed];
A --> G[prompts];
A --> H[structs];
A --> I[swarms_marketplace];
A --> J[tasks];
A --> K[telemetry];
A --> L[tools];
A --> M[utils];
A --> N[workshops];
Comprehensive documentation is available here.
We welcome contributions! Please see our contributing guidelines for more details.
This project is licensed under the MIT License - see the LICENSE file for details.
For questions or support, please join our Discord server or reach out via LinkedIn.